Environmental Data Platform

Begin:
End:
Results: 451 items found
2018-2019 Forest changes
This layer highlights strong changes in forest greenness occurring between 2018 and 2019. Since the most relevant changes for this period are constituted by damages caused by the Vaia storm, this layer contains mostly information about these damages. However, other strong changes may also be highlighted by this layer, such as new forest roads, building sites and other human interventions on forested areas.

Maps

Europe,GeoTIFF

2019-2020 Forest changes
This layer captures the main areas where forest change occurred between 2019 and 2020. Most of these changes are likely caused by snow breaks that occurred during that winter (and late autumn 2019). Since these damages appear to be sparse and of varying intensity, their mapping can be problematic. Here, a conservative approach was taken, by slightly underestimating the changes.

Maps

Europe,GeoTIFF

2019-2020 Forest clearing
This layer shows the areas where a strong change in forest greenness (NDVI) occurred between the two reference years. These are mostly areas interested by salvage logging and other activities such as the building of new forest roads.

Maps

Europe,GeoTIFF

2020-2021 Forest changes
This layer highlights forest changes occurred between 2020 and 2021. These are expected to be caused mostly by bark beetle attacks, but also changes due to other causes such as salvage logging are included (these are also included in the clearing layers). Since for 2021 the available images are fewer than usual, at some specific locations some “ghost” changes occur, and the composites should be used as a reference together with the change maps to correctly interpret these. This layer also includes pixels where change was observed for the previous years, where a further change was detected for 2021.

Maps

Europe,GeoTIFF

2020-2021 Forest clearing
This layer shows the areas where a strong change in forest greenness (NDVI) occurred between the two reference years. These are mostly areas interested by salvage logging and other activities such as the building of new forest roads.

Maps

Europe,GeoTIFF

2021-2022 Forest changes
This layer highlights forest changes occurred between 2021 and 2022. These are expected to be caused mostly by bark beetle attacks, but also changes due to other causes such as salvage logging are included (these are also included in the clearing layers). This layer also includes pixels where change was observed for the previous years, where a further change was detected for 2022.

Maps

Europe,GeoTIFF

2021-2022 Forest clearing
This layer shows the areas where a strong change in forest greenness (NDVI) occurred between the two reference years. These are mostly areas interested by salvage logging and other activities such as the building of new forest roads.

Maps

Europe,GeoTIFF

4DMED hydrological stations
Hydrological station data collected in the 4DMED projects: https://www.4dmed-hydrology.org/ Data for these stations are available for project partners only, via API using the token.

Maps

Global,4dmed_stations,features,hydrology,piezometer,river,snow,water

ADO - Discharge hydrological datasets
Daily time-series of discharge stations present within the Alpine space, obtained from different providers. Is made up of four columns: id station, date, discharge and the data quality information given by its different providers. The database contains observational daily discharge data deriving from the first measurement (differs for each region) to the present, with more than 1400 stations. These data were collected from multiple data providers within the ADO study region, covering the countries Austria, France, Germany, Italy, Slovenia and Switzerland. The spanned period is 1869-2021. The missing dates were added in order to have continuous time-series.

PostgreSQL

hydrology,water lever,discharge,database,ground station,cct,Environmental monitoring facilities,Hydrography

ADO Factsheet: Soil Moisture Anomalies (SMA)
This factsheet provides a detailed technical description of the indicator Soil Moisture Anomaly (SMA), which is implemented in the Alpine Drought Observatory (ADO), and used for detecting and monitoring agricultural drought conditions.

Other

SMA,ADO,ADO project,Soil Moisture Anomalies,ADO platform,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

ADO Factsheet: Standardized Precipitation-Evapotranspiration Index (SPEI)
The Standardised Precipitation-Evapotranspiration Index (SPEI) is a multiscalar drought index based on precipitation and potential evapotranspiration. It can be used for determining the onset, duration and magnitude of drought conditions with respect to normal conditions in a variety of natural and managed ecosystems such as agricultural ecosystems, forests, rivers, etc. The SPEI shows the anomalies (deviations from the long-term average) of the observed total surface water balance for any given location and accumulation period of interest. The name of the index is usually modified to include the accumulation period. SPEI-3, for example, refers to accumulation period of three months (Vicente-Serrano and Beguería, 2022).

Other

SPEI,ADO,ADO project,Standardized Precipitation-Evapotranspiration Index,ADO platform,cct,Europe,Slovenia,Austria,Italy,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

ADO Factsheet: Standardized Precipitation Index (SPI)
The Standardised Precipitation Index (SPI) is the most commonly used index worldwide for detecting and characterising meteorological droughts. A meteorological drought is defined as a period with abnormal precipitation deficit, in relation to normal conditions for a region, represented as a long-term average. The SPI shows the normalisedanomalies (deviations from the long-term average) of the observed total precipitation for any given location and accumulation period of interest. The name of the index is usually modified to include the accumulation period. SPI-3, for example, refers to accumulation period of three months (JRC EDO, 2020).

Other

SPI,ADO,ADO project,Standardized Precipitation Index,ADO platform,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

ADO Factsheet: Standardized Snowpack Index (SSPI)
When precipitation falls in the form of snow, water may be stored as snowpack. This decreases runoff and groundwater recharge during the winter months and contributes to the increased runoff during the spring and early summer. The Standardized SnowPack Index provides information on the relative volume of the snowpack in the catchment on a ten-daily and monthly basis compared to the period of reference (JRC EDO, 2022). The name of the index is modified to include the averaging period in days. SSPI-10, for example, refers to an average period of 10 days (JRC EDO, 2020).

Other

SSPI,ADO,ADO project,Standardized Snowpack Index,ADO platform,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

ADO Factsheet: Vegetation Health Index (VHI) and Vegetation Condition Index (VCI)
This factsheet provides a technical description of the Vegetation Health Index (VHI, Kogan, 1995), which is implemented in the Alpine Drought Observatory (ADO). VHI can be used for detecting agricultural drought and assessing its severity.

Other

VHI,VCI,Vegetation Health Index,Vegetation Condition Index,ADO platform,ADO,ADO project,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

ADO Hydrological boundary
The overall objective of the Alpine Drought Observatory - ADO project is to create an online drought monitoring platform and develop policy implementation guidelines for proactive drought management in the Alpine regions. The ADO project consortium includes 11 institutions from 6 Alpine countries with a wide range of expertise, covering meteorological and hydrological monitoring, specific knowledge on modeling, drought risk and impact assessment, as well as water governance in the different sectors. Further information about the ADO project can be found here: https://www.alpine-space.eu/projects/ado/en/about.

Maps

Europe,ADO,ADO_boundaries,ADO_region

ADO SNOWGRID CL Validation Report
ADO Datasets from deliverable D.T2.1.1 are downscaled from ERA5 surface datasets (Hersbach et al. 2018) using quantile mapping. As ERA5 snow data cannot be downscaled in a similar manner (no snow data available from UERRA mescan surfex; Bazile et al. 2017) and its accuracy within the alpine domain was questioned, a modified version of the deterministic snow model SNOWGRID-CL (Olefs et al. 2020) was used to derive daily fields of snow depth and snow water equivalent within the scope of the ADO project (part of deliverable D.T1.2.1).

Other

SPEI,ADO,ADO project,Snowgrid,ADO platform,cct,Italy,Europe,Austria,Slovenia,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

ADO Soil Moisture Validation Report
When precipitation falls in the form of snow, water may be stored as snowpack. This decreases runoff and groundwater recharge during the winter months and contributes to the increased runoff during the spring and early summer. The Standardized SnowPack Index provides information on the relative volume of the snowpack in the catchment on a ten-daily and monthly basis compared to the period of reference (JRC EDO, 2022). The name of the index is modified to include the averaging period in days. SSPI-10, for example, refers to an average period of 10 days (JRC EDO, 2020).

Other

SMA,ADO,ADO project,Soil Moisture Anomalies,ADO platform,cct,Slovenia,Europe,Italy,Austria,Hydrography,natural dynamics,water,natural areas, landscape, ecosystems,climate,disasters, accidents, risk

Agordino - Valle del Cordevole: Land use/Land cover
This layer shows the land use land cover for the Transalp study area Agordino-Valle del Cordevole.

Maps

Italy,land cover,landuse,Veneto

Air temperature - Venosta Valley
Daily averaged air temperature maps [C] maps for the Venosta Valley (South Tyrol,Italy) produced with the GEOtop hydrological model.

OpenEO

collection,temperature,geotop,model,Land use,Land cover

Alpinespace Eusalp boundary
EUSALP is a European strategy for the Alpine territory joining human passions, natural resources and economic assets, linking cities, plains, valleys and mountains to find solutions to challenges we can solve only together. We coordinate planning, integrate the best practices in the fields of economy, education, environment, accessibility and mobility, and commit as institutions to create sustainable solutions for the benefits of the citizens. By bringing governing closer to the people, EUSALP is proving that the European culture of cooperation lives. (source https://www.alpine-region.eu/mission-statement)

Maps

Europe,alpinespace_eusalp_boundary

Alpine space-Eusalp intersection
The Alpine Drought Observatory - ADO project is interested in discharge (only for stations with a catchment area > 1000 Km2 and currently active), groundwater (only for stations for major groundwater bodies), and major lake levels (only for major water bodies (surface > 5 km2)) data. The overall objective of the Alpine Drought Observatory - ADO project is to create an online drought monitoring platform and develop policy implementation guidelines for proactive drought management in the Alpine regions. The ADO project consortium includes 11 institutions from 6 Alpine countries with a wide range of expertise, covering meteorological and hydrological monitoring, specific knowledge on modeling, drought risk and impact assessment, as well as water governance in the different sectors. Further information about the ADO project can be found here: https://www.alpine-space.eu/projects/ado/en/about.

Maps

Europe,ADO,alp,eusalp

Alpinespace Eusalp NUTS2
NUTS level 2 layer for the countries in the EUSALP area.

Maps

Europe,alpinespace_eusalp_NUTS2,features

ALPS: Glaciers outline 2015-2020
High-resolution outline of glaciers from both Sentinel-1 and Sentinel-2 satellites over South Tyrol (years 2015 to 2020, included).

Maps

Austria,features,st_glaciers_outlines_pol_s4_20152020_eurac

Annual Mean Value photovoltaic energy - CDTE modul
Annual Mean Value of photovoltaic energy produced for a Cadmium-Tellurid module.

Maps

Italy,GeoTIFF,irradiation,photovoltaic,solar,WCS

Annual Mean Value photovoltaic energy - PCSI modul
Annual Mean Value of photovoltaic energy produced for a Polykristallines-Silizium modul.

Maps

Italy,GeoTIFF,irradiation,solar,WCS

Apple Trait Ontology (Crop Ontology - CO)
The Apple Trait Ontology (ATO) is a vital resource for the precise and standardized description of apple varieties, enabling a deeper understanding of their genetic, morphological, and agronomic characteristics. Apples (Malus domestica) are one of the most widely cultivated and consumed fruits globally, and their immense diversity poses challenges in terms of classification, breeding, and research. ATO serves as a comprehensive framework to overcome these challenges. ATO is designed to capture and categorize a wide range of apple traits, encompassing characteristics such as fruit shape, size, color, texture, flavor, nutritional content, disease resistance, and more. This ontology employs standardized terminology and hierarchical structures to create a common language for researchers, horticulturists, and fruit breeders. The ATO not only aids in data sharing and integration but also promotes collaboration among diverse stakeholders in the apple industry.

Other

Ontology,Apple,Variety Testing,Breeding ontology,OB-VISLY,Italy,Species distribution,Agricultural and aquaculture facilities,agriculture,biology

Archivio Tirolese -Argento Vivo
Archivio Tirolese per la documentazione e l"arte fotografica di Lienz (TAP): - Collezione Lisl Gaggl-Meirer (Paesaggio, montagna; Tirolo Orientale; 1970-1990) - Collezione Klebelsberg, Istituto di Geologia, Università di Innsbruck (Paesaggio, montagna, militari; Dolomiti; 1907-1910) - Collezione Hans Peter Falkner (Città, Lienz; ca. 1965-1985) - Collezione Foto Baptist (Paesaggio, montagna; Tirolo Orientale; 1965-1975)

Maps

Italy,archive,archivio,features,foto,picture

Aree BIPVmeetsHistory
No abstract provided

Maps

Italy,Aree,features

Auf den spuren der tracks
Auf den spuren der tracks in Bletterback Park

Maps

Italy,features,park,track

A validation of ADO drought indices SPI and SPEI in Slovenia
Drought indices are essential for tracking and warning of the possible drought related effects, impacts and outcomes (WMO and GWP, 2016). The use of a specific drought index in this manner requires a prior assessment of the index performance in detecting and monitoring different types of drought. Agricultural drought affects plants and crops, sometimes resulting in extensive crop failure. As agricultural drought is particularly relevant for the Alpine region and the Slovenian case study area, we investigated the ability of SPI and SPEI to detect agricultural drought through validation against annual yield data for several crops and types of grassland, averaged to statistical regions (NUTS3 level). Prior to evaluating indices against yield data, we evaluated SPI and SPEI values calculated from ERA5 reanalyses against SPI and SPEI values calculated from ground observations at representative meteorological stations in Slovenia in order to learn whether the indices calculated in the Alpine domain are relevant on a national level.

Other

SPEI,SPI,Slovenia,ADO,ADO project,ADO platform,cct,Slovenia,Europe,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

bark_beetle_damages_annual_07082023_EPSG25832
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected. - TEST WITH EPSG25832

Maps

South Tyrol,Forest,south tyrol

bdi_settl_extents_hamlets_pol
No abstract provided

Maps

Burundi,bdi_settl_extents_hamlets_pol,features

bdi_settl_extents_small_settlement_area_pol
No abstract provided

Maps

Burundi,bdi_settl_extents_small_settlement_area_pol,features

Biotop Bletterbach
Biotope area of the Bletterbach geological Park

Maps

Italy,Biotop_Bletterbach,features

BIPVmeetsHistory
No abstract provided

Maps

Global,BIPVmeetsHistory,features

bletterbachshclucht tracks
Bletterbachshclucht Parck tracks

Maps

Italy,features,park,track

Bolzano: Forest Protective Function
Surfaces with potential forest auto- and hetero-protective function.

Maps

Italy,features,forestprotectivefunction_polygon

Bolzano: Hydrological Risk Map
Hydrological risk maps of the province of Bolzano.

Maps

Italy,features,st_hazard_plan_water_2013_apb_pol_pp

Bolzano: Landslide Hazard Level Map
Gravitational mass movement hazard level maps of the province of Bolzano.

Maps

Italy,features,urbanplan-hazardzoneplan-landslides_polygon

BOZEN AREA: Hexagonal municipality tessellation (~250m)
Tessellation onto regular hexagonal cells of the area of Bolzano at a resolution of ~250m.

Maps

Italy,bozen,features,st_tessellation_250m_bolzano_area_pol,tessellation

BOZEN AREA: tessellated OSM drivable roads (~250m)
Drivable roads from OpenStreetMap over the area of Bozen (South Tyrol) onto an hexagonal tessellation of ~250m.

Maps

Italy,drive,features,osm,st_tran_rds_ln_s4_osm_pp_drive_250tess_bz,tessellated

BOZEN: Hexagonal municipality tessellation (~250m)
Tessellation onto regular hexagonal cells of the municipality of Bolzano at a resolution of ~250m.

Maps

Italy,bozen,features,st_tessellation_250m_municipality_bolzano_pol,tessellation

BOZEN: Voronoi diagram N.1
Partition of the the municipality of Bolzano into Voronoi regions for proper aggregation of sensitive data (created by APB Osservatorio del Lavoro).

Maps

Italy,apb,features,st_tess_voronoi_pol_s4_apb

BURUNDI: 2008 Population Census by Communes
From the third general population and housing census of Burundi made by ISTEEBU Institute in 2008.

Maps

Burundi,bdi_pop_adm2_isteebu_2019_pol,features

BURUNDI: 2021 Population estimates by Communes
Population estimation by UNFPA with Institut de Statistiques et d"Etudes Economiques du Burundi (ISTEEBU). Burundi administrative level 0-2 2021 sex and age disaggregated projections from 2008 population census statistics

Maps

Burundi,distribution,Population

BURUNDI: Admin Level 0 (International) Boundaries
The dataset represents the international boundaries of Burundi.

Maps

Burundi,bdi_adm_adm0_igebu_ocha_itos_2017_utm35s,features

BURUNDI: Admin Level 1 Boundaries
The dataset represents the provinces of Burundi.

Maps

Burundi,bdi_adm_adm1_igebu_ocha_2017_utm35s,features

BURUNDI: Admin Level 2 Boundaries
The dataset represents the communes of Burundi.

Maps

Burundi,bdi_adm_adm2_igebu_ocha_2017_utm35s,features

BURUNDI: Admin Level 2 Boundaries
Burundi Level 2 administrative boundaries.

Maps

Global,bdi_adm2_test,features

BURUNDI: Admin Level 3 Boundaries
The dataset represents the collines of Burundi.

Maps

Burundi,burundi,collines

Burundi: Buildings count (100m)
his layer shows gridded buildings with 100m resolution for Burundi. It was extracted from Gridded maps of building patterns throughout sub-Saharan Africa, version 2.0. This raster contains counts of buildings that fall within a grid cell. Each buildings was counted in the grid cell that contained the centroid of its building footprint

Maps

Global,bdi_bldgs_buildings_Worldpop_v2_0_count_ras_100m,GeoTIFF,WCS

BURUNDI: buildings taxonomy per commune
Taxonomy of buildings in Burundi, per each commune (IDOM).

Maps

Burundi,buildings,burundi,taxonomy

BURUNDI: buildings taxonomy per province
Taxonomy of buildings in Burundi, per each province (IDOM).

Maps

Burundi,buildings,burundi,taxonomy

BURUNDI: Cropland
Land classified as cropland over Burundi (from Copernicus Land Cover product).

Maps

Burundi,bdi_lc100m_v3_2019_cropland_copernicus_utm35s,GeoTIFF,WCS

Burundi - Dams (Aquastat)
Dam locations in Burundi extracted from Aquastat Dam database for Africa. AQUASTAT gathers detailed information about dams in each country, especially on location, height, reservoir capacity, surface area and main purpose. http://www.fao.org/aquastat/en/databases/dams

Maps

Burundi,bdi_energy_dams_aquastat_pp,features

BURUNDI: Gridded Population estimates (2019 | 100m)
Gridded population estimates from WorldPop (10.5258/SOTON/WP00682) over Burundi calibrated to match the 2019 population projections by commune by ISTEEBU/UNFPA (https://data.humdata.org/dataset/burundi-administrative-level-0-2-population-statistics-2018).

Maps

Burundi,bdi_pop_worldpop_2020_rescaled_to_2019isteebuadm2_ras_,GeoTIFF,WCS

BURUNDI: Gridded Population estimates (2021 | 100m)
Gridded population estimates from WorldPop (10.5258/SOTON/WP00682) over Burundi calibrated to match the 2021 population projections by commune by ISTEEBU/UNFPA (https://data.humdata.org/dataset/burundi-administrative-level-0-2-population-statistics-2018).

Maps

Burundi,bdi_pop_worldpop100mrescaled_ras_pp,GeoTIFF,WCS

BURUNDI: Health facilities accessibility
Accessibility to nearest health facility on drivable roads in Burundi.

Maps

Burundi,bdi_health_facilities_access,features

Burundi: Health sites
This layer contains the health sites in Burundi classified by type. The data source is the Burundi Ministry of Health.

Maps

Burundi,bdi_heal_health_sites_pnt_fosa_gps_v4_minesante_utm35s

BURUNDI: High resolution landslide susceptibility map (priority areas)
Landslide susceptibility map for the priority areas of Burundi that incorporates landslide release susceptibilities and potential runout paths.

Maps

Burundi,bdi_haz_landslides_ras_s5_eurac_re_prio_areas,landslides,natural hazard,WCS

BURUNDI: Land Cover
Land classification over Burundi (from Copernicus Land Cover product).

Maps

Burundi,copernicus,GeoTIFF,WCS

BURUNDI: Landslides susceptibility map (April)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,April,bdi_haz_landslides_ras_s4_eurac_re_april,burundi,GeoTIFF,landslides,WCS

BURUNDI: Landslides susceptibility map (August)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,August,bdi_haz_landslides_ras_s4_eurac_re_august,burundi,GeoTIFF,landslides,WCS

BURUNDI: Landslides susceptibility map (February)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_february,burundi,February,GeoTIFF,landslides,WCS

BURUNDI: Landslides susceptibility map (January)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_january,burundi,GeoTIFF,January,landslides,WCS

BURUNDI: Landslides susceptibility map (July)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_july,burundi,GeoTIFF,July,landslides,WCS

BURUNDI: Landslides susceptibility map (June)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_june,burundi,GeoTIFF,June,landslides,WCS

BURUNDI: Landslides susceptibility map (March)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_march,burundi,GeoTIFF,landslides,March,WCS

BURUNDI: Landslides susceptibility map (May)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_may,burundi,GeoTIFF,landslides,May,WCS

BURUNDI: Landslides susceptibility map (national scale)
National-scale unclassified landslide susceptibility map for Burundi.

Maps

Burundi,burundi,landslides,natural hazards

BURUNDI: Landslides susceptibility map (November)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_november,burundi,GeoTIFF,landslides,November,WCS

BURUNDI: Landslides susceptibility map (October)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_october,burundi,GeoTIFF,landslides,October,WCS

BURUNDI: Landslides susceptibility map (September)
The map represents the national landslide susceptibility for the respective month of the year where the rainfall dynamics are included.

Maps

Burundi,bdi_haz_landslides_ras_s4_eurac_re_september,burundi,GeoTIFF,landslides,September,WCS

BURUNDI: Level-2 Geological Units
Lithological units of Burundi (second step of aggregation).

Maps

Burundi,bdi_haz_landslides_pol_s1_eurac_pp_geounits_l2,features,geological units

BURUNDI: Level-3 Geological Units
Lithological units of Burundi (third step of aggregation).

Maps

Burundi,bdi_haz_landslides_pol_s1_eurac_pp_geounits_l3,features,geological units

BURUNDI: Level-4 Geological Units
Lithological units of Burundi (fourth step of aggregation).

Maps

Burundi,bdi_haz_landslides_pol_s1_eurac_pp_geounits_l4,features,geological units

BURUNDI: Multi-Hazard Average Annual Loss (commune level)
Average Annual Loss (AAL) measured in USDs, estimated for multiple hazards over the communes of Burundi.

Maps

Burundi,aal,bdi_risk_aal_py_s4_eurac_comm,communes,features,loss,risk

BURUNDI: Multi-Hazard Average Annual Loss (province level)
Average Annual Loss (AAL) measured in USDs, estimated for multiple hazards over the provinces of Burundi.

Maps

Burundi,aal,bdi_risk_aal_py_s3_eurac_prov,features,loss,provinces,risk

Burundi: named settlements
Geographic names of populated places in Burundi by NGA Geonet Names Server (NGA). Last updated: 12. July 2021.

Maps

Burundi,burundi,settlements

BURUNDI: OSM airports
Airports of Burundi (OSM).

Maps

Burundi,features,hotosm_bdi_airports_points

BURUNDI: OSM bridges
Bridges of Burundi (OSM). OSM Download from September 2020.

Maps

Burundi,bdi_trans_roads_bridges_osm_ln_p,features

BURUNDI: OSM drivable roads
Year-round drivable roads of Burundi from OpenStreetMap (OSM).

Maps

Burundi,bdi_drive_roads,features

BURUNDI: OSM education facilities
Education facilities of Burundi (OSM).

Maps

Burundi,features,hotosm_bdi_education_facilities_points

BURUNDI: OSM health facilities
Health facilities in Burundi (OSM).

Maps

Burundi,features,hotosm_bdi_health_facilities_points

BURUNDI: OSM intrinsic completeness by discrete classification
OpenStreetMap intrinsic complete analysis by discrete classification of its collines using terrain ruggedness and gridded population estimates as auxiliary predictors.

Maps

Africa,bdi_osm_discr_class,completeness,features,intrinsic,osm

BURUNDI: OSM roads and footways
All roads and footways of Burundi from OpenStreetMap (OSM).

Maps

Burundi,bdi_all_roads,features

BURUNDI: OSM sea ports
Sea ports of Burundi (OSM).

Maps

Burundi,features,hotosm_bdi_sea_ports_points

BURUNDI: Population by Collines
100m population distribution of Burundi by Worldpop aggregated to colline level.

Maps

Burundi,bdi_pop2020_worldpop_aggregated_collinesbcg2020,features

BURUNDI: Power grid
Electricity transmission network of Burundi (World Bank+REGIDISO). https://energydata.info/dataset/burundi-electricity-transmission-network-2007

Maps

Burundi,burundi_grid,features

BURUNDI: Power plants
Power plants in Burundi with total installed generating capacity 10 mw from the Platts World Electric Power Plants Database (WEPP 2006). https://datacatalog.worldbank.org/dataset/burundi-power-plants

Maps

Global,bdi_powerplants,features

BURUNDI: Primary and secondary roads
This layer contains primary and secondary roads in Burundi catagorising the roads into three classes and providing information on surface and usability. The data originates from the Burundi Ministry of Health.

Maps

Burundi,bdi_trans_roads_ln_dsnisv3_minesante,features

BURUNDI: Priority Areas for landslide risk assessment
TBD

Maps

Burundi,bdi_haz_landslides_pol_s4_eurac_pp_prio_areas,features

Burundi: Protected Areas
This layer shows protected areas in Burundi according to the World Database of protected areas.

Maps

Burundi,burundi,nature,protected

BURUNDI: Roads topologic indicators
The layer contains two topologic indicators computed on the nodes (roads intersections and dead-ends) of the OpenStreetMap (OSM) drivable roads dataset: i) Betweenness Centrality, and ii) Current Flow Betweenness Centrality.

Maps

Burundi,bdi_topology_indicators_edges,features

BURUNDI: Roads topologic indicators
The layer contains the Betweenness Centrailty indicator computed on the edges of the OpenStreetMap (OSM) main roads (up to tertiary).

Maps

Burundi,bdi_topology_indicators_main_edges,features

BURUNDI: Roads topologic indicators by province
The layer contains two topologic indicators computed on the nodes (roads intersections and dead-ends) of the OpenStreetMap (OSM) drivable roads dataset: i) Betweenness Centrality, and ii) Current Flow Betweenness Centrality. The data has been computed separately on each province of Burundi, then merged on the same file.

Maps

Burundi,bdi_topology_indicators_edges_adm1,features

Burundi: Schools
This layer shows the location of schools in Burundi. The data originates from BCG.

Maps

Burundi,bdi_edu_ecoles_v1_pnt_bcg,features

Burundi: Settlement extents - build-up area
No abstract provided

Maps

Burundi,built-up area,burundi,settlements

Burundi: Settlements (OpenStreetMap)
This layer contains populated places extracted from OpenStreetMap 01 July 2021.

Maps

Burundi,burundi,place,settlements

BURUNDI: Terrain Ruggedness (7.5 arc-sec)
Terrain ruggedness (elevation standard deviation) over Burundi at 7.5 arc-sec (225 m) of spatial resolution. Cropped from the original GMTED2010 global topographic elevation model from USGS/NGA.

Maps

Burundi,GeoTIFF,WCS

Burundi: Touristic sites
This layers shows touristic sites in Burundi. The data was provided by BCG.

Maps

Burundi,bdi_touristic_sites_pnt_bcg_iom,features

BURUNDI: Vulnerability Indices (colline level)
Vulnerability indices over Burundi at colline level (where available).

Maps

Burundi,burundi,collines,vulnerability

BURUNDI: Vulnerability Indices (province level)
Vulnerability indices over Burundi for each province.

Maps

Burundi,burundi,provinces,vulnerability

CDD - NUTS level 0
Cooling Degree Days at country level (NUTS level 0) is a weather-based technical index designed to describe the need for the heating energy requirements of buildings. CDD is derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded CDD is aggregated and subsequently presented on NUTS-0 level.

Maps

Europe,CDD,Nuts0

CDD - NUTS level 2
Cooling Degree Day (CDD) index is a weather-based technical index designed to describe the need for the heating energy requirements of buildings. HDD is derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded HDD is aggregated and subsequently presented on NUTS-2 level.

Maps

Europe,cct,cooling,features,Nuts2

CE_demo_cases
The layer shows the following information about Plus Energy Buildings (PEB) demo cases: 1) context, 2) key features, 3) owner, 4) Location, 5) Technologies integration, 6) Demo community and 7) partnership.

Maps

Europe,CE_demo_cases,features

Charging points installed by MOBSTER in South Tyrol
Layer to represent the charging points for e-vehicles installed thanks to the MOBSTER project in South Tyrol.

Maps

South Tyrol,e-mobility

Climate Classification - NUTS0
Climate classification in european countries. The climates were extracted by the Koppen-Geiger classification

Maps

Global,cct,climate,climate_class_nut0,features

CO2H2O_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

CO2 concentration - average,H2O concentration - average,KalternEddyCov,collection,Land use,Land cover

Copernicus Surface Soil Moisture - 1km
The Soil Water Index quantifies the moisture condition at various depths in the soil. It is mainly driven by the precipitation via the process of infiltration. Soil moisture is a very heterogeneous variable and varies on small scales with soil properties and drainage patterns. Satellite measurements integrate over relative large-scale areas, with the presence of vegetation adding complexity to the interpretation.

OpenEO

collection,surface soil moisture,ASCAT,Sentinel-1,ADO project,ADO,Sentinel-1 A/B; MetOp A/B,Land use,Land cover

Daily evaporation product - Ebro basin
Evaporation (E) is the estimated flux of water evaporated from the land surface, including vegetation and bare soil. The product is generated from Two-source Energy Balance (TSEB) model forced by ESA Copernicus Sentinel-2A/B MSI and Sentinel-3A/B SLSTR LST imagery together with ECMWF ERA5 reanalysis data. Evaporation maps are available at 100-m spatial resolution for the period 2017-2021 over the Ebro basin in Spain. The spatial extent corresponds to Sentinel-2 tiling grids overlapping with the study area. The E layer contains one single band with evaporation values per day [mm/day] corresponding to Sentinel-3 acquisition day. Invalid pixels, mainly due to cloud contamination and lack of input data for TSEB, are filled with NaN values. Evaporation outputs are generated in Cloud Optimized GeoTIFF (COG) format with metadata included in the file attributes. Datasets are available for each month (Jan-Dec) of the year separately in the form of stacked daily E observations.

STAC

Collection,Daily evaporation,TSEB,Sentinel,4DMED project,4DMED,Ebro basin,cct,Hydrography

Daily evaporation product - Herault basin
Evaporation (E) is the estimated flux of water evaporated from land surface, including vegetation and bare soil. The product is generated from Two-source Energy Balance (TSEB) model forced by ESA Copernicus Sentinel-2A/B MSI and Sentinel-3A/B SLSTR LST imagery together with ECMWF ERA5 reanalysis data. Evaporation maps are available at 100-m spatial resolution for the period 2017-2021 over Hérault basin in France. The spatial extent corresponds to Sentinel-2 tiling grids overlapping with the study area. The E layer contains one single band with evaporation values per day [mm/day] corresponding to Sentinel-3 acquisition day. Invalid pixels, mainly due to cloud contamination and lack of the input data for TSEB, are filled with NaN values. Evaporation outputs are generated in Cloud Optimized GeoTIFF (COG) format with metadata included in the file attributes. Datasets are available for each month (Jan-Dec) of the year separately in the form of stacked daily E observations.

STAC

Collection,Daily evaporation,TSEB,Sentinel,4DMED project,4DMED,Herault basin,cct,Hydrography

Daily evaporation product - Medjerda basin
Evaporation (E) is the estimated flux of water evaporated from land surface, including vegetation and bare soil. The product is generated from Two-source Energy Balance (TSEB) model forced by ESA Copernicus Sentinel-2A/B MSI and Sentinel-3A/B SLSTR LST imagery together with ECMWF ERA5 reanalysis data. Evaporation maps are available at 100-m spatial resolution for the period 2017-2021 over Medjerda basin in Tunisia. The spatial extent corresponds to Sentinel-2 tiling grids overlapping with the study area. The E layer contains one single band with evaporation values per day [mm/day] corresponding to Sentinel-3 acquisition day. Invalid pixels, mainly due to cloud contamination and lack of the input data for TSEB, are filled with NaN values. Evaporation outputs are generated in Cloud Optimized GeoTIFF (COG) format with metadata included in the file attributes. Datasets are available for each month (Jan-Dec) of the year separately in the form of stacked daily E observations.

STAC

Collection,Daily evaporation,TSEB,Sentinel,4DMED project,4DMED,Medjerda basin,cct,Hydrography

Daily evaporation product - Po basin
Evaporation (E) is the estimated flux of water evaporated from land surface, including vegetation and bare soil. The product is generated from Two-source Energy Balance (TSEB) model forced by ESA Copernicus Sentinel-2A/B MSI and Sentinel-3A/B SLSTR LST imagery together with ECMWF ERA5 reanalysis data. Evaporation maps are available at 100-m spatial resolution for the period 2017-2021 over Po basin in Italy. The spatial extent corresponds to Sentinel-2 tiling grids overlapping with the study area. The E layer contains one single band with evaporation values per day [mm/day] corresponding to Sentinel-3 acquisition day. Invalid pixels, mainly due to cloud contamination and lack of the input data for TSEB, are filled with NaN values. Evaporation outputs are generated in Cloud Optimized GeoTIFF (COG) format with metadata included in the file attributes. Datasets are available for each month (Jan-Dec) of the year separately in the form of stacked daily E observations.

STAC

Collection,Daily evaporation,TSEB,Sentinel,4DMED project,4DMED,Po basin,cct,Hydrography

daily_LaimburgProvince
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 10 minute average,Air Humidity - daily average,Air Pressure - 10 minute average,Air Pressure - daily average,Air Temperature - 10 minute average,Air Temperature - daily average,Air Temperature - daily maximum,Air Temperature - daily minimum,Dew point - 10 minute average,Global Radiation - 10 minute average,Global Radiation - daily average,Precipitation - 5 minute sum,Precipitation - daily sum,Sunshine duration - 10 minute average,Wind Direction - 10 minute average,Wind Speed - 10 minute average,Wind Speed - daily average,LaimburgProvince,collection,Land use,Land cover

Daily meteorological records - Climate Data Base
The Climate Database (CDB) contains meteorological time series of daily temperature (maximum, minimum and mean) and daily total precipitation for more than 250 station sites in Trentino – South Tyrol region. The data were collected from the regional meteorological networks of Bolzano and Trento Provinces and include open access records from several close sites in Austria. The spanned period is 1950 – 2021. Note that mean temperature is defined by averaging minimum and maximum values in all cases. The CDB was built in the framework of the Use-Case number 8 of the DPS4ESLAB project.

PostgreSQL

meteo,precipitation,temperature,cct,ground station,Meteorological geographical features

DinAlpConnect Project area
This data set represents the considered area between the Alps and Dinaric mountains to analyze the situation of ecological connectivity. Link to map: https://maps.eurac.edu/maps/1140/view File name: DinAlpConnect_Project_area.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,DinAlpConnect_Project_area,Dinaric Alps,features

Dinaric Alps: Ecological Conservation Areas (SACA1)
This data set shows important Ecological Conservation Areas (SACA1), bigger than 100ha, in the Dinaric Alps. These areas are expected to have a high biological value and that ecological connectivity is functioning well. Strategic Connectivity Areas (SACAs) derive from the Continuum Suitability Index. This approach is a way to display via GIS the most important sites for the overall ecological network on a macro-regional level (SACA1). Here, the most important ones were selected by expert evaluation. Filename: DinaricAlps_SACA1_Ecological_Conservation_Areas.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,DinaricAlps_SACA1_Ecological_Conservation_Areas,features

Dinaric Alps: Ecological Linkages (SACA2)
Ecological linkages are least cost paths, connecting the most important Ecological Conservation Areas (SACA1). They are part of the ecological intervention areas (SACA2). File name: DinaricAlps_SACA2_Regional_ecological_linkages_LCP_Assessment.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_SACA2_Regional_ecological_linkages_LCP_Assessment,features

Dinaric Alps: Ecological Restoration Areas / Barriers (SACA3)
Ecological Restoration Areas represent important barriers and have a low continuum suitability index (CSI). Ecological Restoration Areas (SACA3) are those ones, where ecological movements are not possible at the current stage and where it is necessary to implement restoration measures. These areas are currently the main barriers. For the calculation of these areas, all areas with a CSI of 1-4 were selected. File name: DinaricAlps_SACA3_Ecological_Barriers.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_SACA3_Ecological_Barriers,features

Dinaric Alps: Ecological stepping stones (SACA1)
Stepping stones are representing areas with a high ecological value, important for ecological linkages. They are calculated by the Continuum Suitability Index (CSI) and the Strategic Connectivity Areas, considering small and less important Ecological Conservation Areas. File name: DinaricAlps_SACA1_Ecological_Stepping_Stones.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_SACA1_Ecological_Stepping_Stones,features

Dinaric Alps: Environmental protection indicator
This indicator evaluates the landscape permeability for a variety of species on land from 0 to 10, based on the protection status of protected areas. File name: DinaricAlps_ENV.tif Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_ENV,GeoTIFF,WCS

Dinaric Alps: Fragmentation indicator
This indicator evaluates the landscape permeability for a variety of species on land from 0 to 10, based on the effective mesh size and the effective mesh density. File name: DinaricAlps_FRA.tif Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_FRA,fragmentation,GeoTIFF,WCS

Dinaric Alps: Land cover indicator
This indicator evaluates the landscape permeability for a variety of species on land from 0 to 10, based on land cover classes. File name: DinaricAlps_LAN.tif Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_LAN,GeoTIFF,WCS

Dinaric Alps: Motorway barriers
This layer is showing motorway barriers with potential ecological linkages in the Dinaric Alps. File Name: DinaricAlps_SACA2_motorway_barriers.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_SACA2_motorway_barriers,features

Dinaric Alps: Population indicator
This indicator evaluates the landscape permeability for a variety of species on land from 0 to 10, based on population density data. File name: DinaricAlps_POP.tif

Maps

Europe,Dinaric Alps,DinaricAlps_POP,GeoTIFF,population density,WCS

DinaricAlps: Regional ecological corridors (SACA2)
This layer shows the designed width of ecological corridors, that connect Ecological Conservation Areas. An approximate width of 2km was designed by truncating the normalized cost-weighted distances of the corridors at 40.000 km. File name: DinaricAlps_SACA2_Reg_ecological_corridors.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Maps

Europe,Dinaric Alps,DinaricAlps_SACA2_Reg_ecological_corridors,features

Dinaric Alps: Topography indicator
This indicator evaluates the landscape permeability for a variety of species on land from 0 to 10, based on altitude and slope conditions. File name: DinaricAlps_TOP

Maps

Europe,Dinaric Alps,DinaricAlps_TOP,GeoTIFF,WCS

DrSchär mais field monitoring timeseries
Timeseries of the DrSchär field monitoring in Este (PD) during summer 2022. Dataset of the soil temperature and soil humidity collected from different type of sensors distributed among the mais field. In the field were installed different types of sensors as many TDR sensors and one capacitive sensor; they collect temperature and humidity of the soil. The data from the sensor were collected by two networks: a Zigbee-based and one LoraWAN-based network.

InfluxDB

water,humidity,soil moisture,temperature,soil,lorawan,zigbee,tdr,mais,capacitive,sensor,irrigation,Agricultural and aquaculture facilities,Environmental monitoring facilities,agriculture

Easttyrol: Vaia storm damage areas
No abstract provided

Maps

Austria,2021-04-20_transalp_aut-study-area_vaia_storm-damage-areas,features

EDCOV_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

E_QC,Ecosystem respiration,Evapotranspiration,Gross primary production,LE_f,Latent heat - filled,Net CO2 flux - quality checked,Net ecosystem exchange,Sensible heat - filled,Sensible heat - quality checked,KalternEddyCov,collection,Land use,Land cover

Electricity Prices for Households
Electricity prices components for household consumers -annual data (from 2007 onwards). Annual values taken from the Eurostat dataset with a national level resolution.

Maps

Europe,Electricty,Household,price

Elevation of South Tyrol
Elevation (Hypsometry) of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

Energy Cultures Drivers
The information provided intends to support a profiling exercise of users’ domestic energy use and how these variations are translated into different domestic energy-intensity practices across EU territories. This layer includes descriptive information on the energy demand dynamics at household level by means of taking into account the cultural-climatic aspects which characterise the EU climatic areas as part of this research.

Maps

Europe,cct,energy,energy_culutral_drivers,features,households

Environmental Parameters
This layer contents specific IEQ data sets provided which are rereferred to the closest possible locations of the Cultural-E demo cases. Specific locations and coordinates are included for each one in the IEQ related files that have been made available for downloading. Each geo-referred location contains IEQ related information and graphics, in the specific: 1. Reference year -.epw file-. 2. Climatic statistical data -.txt file-. Weather data plots, elaborated with Climate consultant and merged in a unique document -.pdf file-. 4. Weather data summary elaborated -.xls file-. Relevant information is provided in relation to: data source, used tool, implemented comfort tool, weather stations spec, software download links. This aims to illustrate the accuracy and "data fairness" of the data provided.

Maps

Global,features,households,IEQ,weather

EU climate classification (Köppen-Geiger)
The most frequently used climate classification map is that of Wladimir Köppen, presented in its latest version 1961 by Rudolf Geiger. A huge number of climate studies and subsequent publications adopted this or a former release of the Köppen-Geiger map. While the climate classification concept has been widely applied to a broad range of topics in climate and climate change research as well as in physical geography, hydrology, agriculture, biology and educational aspects, a well-documented update of the world climate classification map is still missing. Based on recent data sets from the Climatic Research Unit (CRU) of the University of East Anglia and the Global Precipitation Climatology Centre (GPCC) at the German Weather Service, we present here a new digital Köppen-Geiger world map on climate classification for the second half of the 20th century.

Maps

Global,cct,climate,GeoTIFF,KG_climate_class_clip,WCS

Eurac Snow Cloud Removal Modis
Snow maps with clouds removed by spatial and temporal filters

OpenEO

collection,No Keywords Available,Aqua, Terra,Land use,Land cover

Evapotranspiration - Venosta valley
Daily evapotranspiration [mm/day] maps for the Venosta Valley (South Tyrol,Italy) produced with the GEOtop hydrological model.

OpenEO

collection,evapotranspiration,geotop,model,Land use,Land cover

Factor available water capacity
USDA soil property map: available water capacity. - Resolution: 500m - Geographical Coverage: Alpine space - Input data: LUCAS 2009 Topsoil- Model: Multivariate Additive Regression Splines (MARS) - Year: 2015. For further information visit the website European soil data centre (ESDAC).

OpenEO

collection,soil map,available water capacity,ESDAC,LUCAS,topsoil,ADO project,ADO,cct,N/A,Land use,Land cover

Factor distance to water
Distance [m] is calculated at each location to the nearest lakes, water reservoirs, and rivers. Rivers were filtered to Strahler order greater than 3.

OpenEO

collection,Distance to large water bodies,ADO project,ADO,cct,N/A,Land use,Land cover

Factor elevation
ADO_elevation is a digital surface model (DSM). For further information visit website copernicus land monitoring service: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/eu-dem-v1.0?tab=metadata

OpenEO

collection,Digital Elevation Model,Elevation,Copernicus Land,Copernicus,Alps,ADO project,ADO,cct,N/A,Land use,Land cover

Factor humus content
Organic Carbon Content In Topsoils In Europe (OCTOP) - ESDAC makes available the Maps of Organic carbon content (%) in the surface horizon of soils in Europe. Resolution: 1 km - Year: 2004. The result is available as a map and an explaining booklet: The Map of Organic Carbon Content In Topsoils In Europe: Version 1.2 September - 2003 (S.P.I.04.72).

OpenEO

collection,soil Organic Carbon,Carbon content,ESDAC,topsoil,SOC,ADO project,ADO,cct,N/A,Land use,Land cover

Factor landscape diversity
Shannon eveness index provides information on area composition and richness ranging from 0 to 1. It is calculated considering 9 Corine Land Cover classes of numeric matrices using a moving window algorithm of 5 pixels side and dividing this result by its maximum.

OpenEO

collection,landscape diversity,Shannon eveness index,ADO project,ADO,cct,N/A,Land use,Land cover

Factor presence of irrigation infrastructure
Permanently irrigated agricultural land is based on the corine land cover 2018 (CLC) from Copernicus. It has been extracted the permanent irrigated class, which is the class 12 in the CLC raster. The output is a binary raster, whereas 1 corresponds for permanent irrigated land and 0 corresponds to not permanent irrigated land.

OpenEO

collection,permanent irrigated land,presence of irrigation infrastructure,ADO project,ADO,cct,N/A,Land use,Land cover

Factor slope
Slope derived from EU-DEM version 1.0. year: 2000. For further information visit: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/slope?tab=metadata

OpenEO

collection,Slope,Copernicus,Land,Elevation,Digital Elevation Model,Copernicus Land,Pan-European,ADO project,ADO,cct,N/A,Land use,Land cover

Factor soil texture
USDA soil textural classes derived from clay, silt and sand maps. - Resolution: 500m - Geographical Coverage: Alpine space - Input data: LUCAS 2009 Topsoil- Model: Multivariate Additive Regression Splines (MARS) - Year: 2015- Soil texture is classified into 12 classes: 1: Clay, 2: Silty-Clay, 3: Silty Clay-Loam, 4: Sandy Clay, 5: Sandy Clay-Loam, 6: Clay-Loam, 7: Silt, 8: Silt-Loam, 9: Loam, 10: Sand, 11: Loam Sand, 12: Sandy Loam. For further information visit the website European soil data centre (ESDAC).

OpenEO

collection,soil texture,soil textural classes,ESDAC,LUCAS,topsoil,ADO project,ADO,N/A,Land use,Land cover

Farmhouses in South Tyrol
Layer to represent the position of eight case study buildings of exemplary energy efficient interventions in historic buildings. All buildings are retrofitted farm houses located in South Tyrol province.

Maps

Italy,energy refurbishment,historic buildings

Farmhouses in South Tyrol tour
Layer to represent the "tour" to eight case study buildings of exemplary energy efficient interventions in historic buildings. All buildings are retrofitted farm houses located in South Tyrol province.

Maps

Italy,historic buildings,virtual tour

Forest fires of July 2021 in Sardinia - One week after
On 24 July 2021, a large fire broke out on the Italian island of Sardinia. With strong winds, high temperatures, and dry vegetation, the blaze spread rapidly. In this image, taken about one week after, it is evident the extension area of the fire. credit: produced from ESA remote sensing data

Maps

Italy,fire,GeoTIFF,WCS

Forest fires of July 2021 in Sardinia - Two days before
On 24 July 2021, a large fire broke out on the Italian island of Sardinia. With strong winds, high temperatures, and dry vegetation, the blaze spread rapidly. In this image, taken about two days before of the event, is it possible to see the destroyed vegetated area. credit: produced from ESA remote sensing data

Maps

Italy,GeoTIFF,WCS

Fragsburg_rgb_flight1_3035
UAV orthophoto of apple orchard maintained by Laimburg Research Centre near Fragsburg for precision mapping of Apple Proliferation

Maps

Italy,Fragsburg_rgb_flight1_3035,GeoTIFF,WCS

Gas Prices for Household
Layer about Gas prices components for household consumers - annual data, derived by Eurostat datasets at country level.

Maps

Europe,features,gas,price

Gross Domestic Product (GDP)
Layer about Gross Domestic Product prices components for household consumers - annual data, derived by Eurostat datasets at country level.

Maps

Europe,features,GDP

Harmful pollutants and microclimatic parameters from autonomous low-cost sensors deployed in the city center of Bolzano, Italy
O3, NO2, PM1, PM2.5, PM10, temperature, relative humidity, atmospheric pressure and solar radiation low-cost sensors have been co-located with the certified air quality monitoring station of Bolzano - Italy (UTM 46°49′44″ N, 11°34′24″ E, 262 m a.s.l.) managed by the local environmental agency (APPA). The filed campaign is aimed at comparing the low-cost sensors" timeseries to high-resolution instruments, which comply with the protocol for standardized acquisition released by the European Environmental Agency. The core unit of the low-cost sensors acquisition system is a Raspberry Pi 4, which couples to the sensors via the I2C bus. Specifically, the low-cost sensors involved in the campaign are: O3 (Alphasense OX-A431), NO2 (Alphasense NO2-A431) and PM1, 2.5, 10 (Alphasense OPC-N3), Tin/RHin (Sensirion SHT31), Tout/RHout (Galtech PM15PS), atmospheric pressure (Bosch Sensortech BMP388), and SR (Apogee SP 420 Smart).

InfluxDB

air,pollution,relative humidity,temperature,solar radiation,O3,NO2,PM,atmospheric pressure,low cost sensor,cct,Environmental monitoring facilities,air,pollution,radiations,research,urban environment, urban stress

HDD - NUTS2
Heating degree day (HDD) index is a weather-based technical index designed to describe the need for the heating energy requirements of buildings. HDD is derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded HDD is aggregated and subsequently presented on NUTS-2 level.

Maps

Europe,HDD,NUT,temp

HDD - NUTS level 0
Heating degree day (HDD) index is a weather-based technical index designed to describe the need for the heating energy requirements of buildings. HDD is derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded HDD is aggregated and subsequently presented on NUTS-0 level.

Maps

Europe,energy,HDD,Nuts0

HEU MODERATE Building Stock Data
The HEU MODERATE Building Stock Data provides information regarding the building stock for all EU27 member states at the national level (i.e., NUTS 0) considering 2020 as the reference year. Regarding the Service Sector, the data distinguishes the following subsectors: single-family houses, multifamily houses, and apartment blocks. Regarding the Service Sector, the data distinguishes the following subsectors: offices, trade, education, health, hotels and restaurants, and other non-residential buildings. Moreover, for each subsector, the data distinguishes the following construction periods: before 1945, 1945-1969, 1970-1979, 1980-1989, 1990-1999, 2000-2010, and 2011-2020. For each building stock subsector and construction period, the data provide information regarding total values at the national level for: - Number of buildings - Number of dwellings - Number of dwellings according to ownership (i.e., owner occupied, rented, social housing) - Number of dwellings according to occupation (i.e., occupied, vacant, secondary houses) - Total constructed area - Total heated area - Total cooled area - Total final energy consumption for space heating and domestic hot water - Total final energy consumption for space cooling Moreover, the following average values for single building characteristics are provided: - Number of floors - Volume-to-surface ratio - Vertical area - Ground area - Window surface - U-values for the different building elements (roof, walls, windows, and floors) - Useful energy demand (ued) differentiating between space heating, domestic hot water, and space cooling - Final energy consumption (fed) differentiating between space heating, domestic hot water, and space cooling Finally, the data provide information about the prevalence of: - Building materials and methodology for the different building elements (roof, walls, windows, and floors) - Different systems used for space heating, domestic hot water, and space cooling The data is provided as a `csv` file (long format with all details and data source) and as an excel file (wide format with separate sheets for each country). Data and a complete description of the available fields can be found at https://github.com/MODERATE-Project/building-stock-analysis/tree/main/T3.2-static-analysis The dataset was obtained by combining information from European and national resources and the review of scientific literature. Data gaps were subsequently filled via statistical modeling.

Other

Building Stock,EU27,Residential Sector,Service Sector,Energy Consumption,H&C Systems,Construction Materials,cct,Buildings,energy,building

Household Cooking Practices
This Layer shows the share of fuels in the final energy consumption in the residential sector for coocking. The Frequency is annual.

Maps

Europe,cooking,energy,households

Households Disposable Income
The Layer shows the households disposable income at the nation level for the household. The frequency is annual. The Unit of measure is GINI. GINI is a measure of statistical dispersion intended to represent the income inequality or wealth inequality within a nation or any other group of people. The Gini coefficient measures the inequality among values of a frequency distribution (for example, levels of income). A Gini coefficient of zero expresses perfect equality, where all values are the same (for example, where everyone has the same income). A Gini coefficient of one (or 100%) expresses maximal inequality among values (e.g., for a large number of people where only one person has all the income or consumption and all others have none, the Gini coefficient will be nearly one).

Maps

Europe,GINI,households,income

Households Electricity consumption
Layer about Electricity Consumption in Households at nation level. The frequency of data is annual. The dataset is taken from Eurostat dataset.

Maps

Europe,Electricty,features,households

Households Gas Consumption
Layer about Gas Consumption in Households at nation level. The frequency of data is annual. The dataset is taken from Eurostat dataset.

Maps

Europe,features,gas,houshold

Household Space Cooling
The Layers shows the share of final energy consumption in the residential sector for space cooling. The frequency of data is annual.

Maps

Europe,cooling,houshold,Space

Household Space Heating
The Layers shows the share of fuels in the final energy consumption in the residential sector for space heating. The frequency of data is annual.

Maps

Europe,heating,Household,Space

hydro_station_ado_32632
Hydrological stations with discharge values for ADO project

Maps

Global,features,hydro_station_ado_32632

hydro_station_wtl_ado_32632
Hydrological station with Water level values for ADO project

Maps

Europe,features,hydro_station_wtl_ado_32632

In der Bletterbachschl track
In Der Bletterback park track

Maps

Italy,features,track

Industry, trade and education buildings in Europe
Layer to represent the position of eight case study buildings of exemplary energy efficient interventions in historic buildings. The case studies represent historic buildings with a particular use, such as for industry, trade or education.

Maps

Europe,energy refurbishment,historic buildings

Industry, trade and education buildings in Europe tour
Layer to represent the "tour" to eight case study buildings of exemplary energy efficient interventions in historic buildings. The case studies represent historic buildings with a particular use, such as for industry, trade or education.

Maps

Europe,historic buildings,virtual tour

Lighting and Appliances
This layer describes the energy consumption of lights and appliances on National Level for the households. The frequency of data is annual and it is connected with the Nuts0 Level.

Maps

Europe,Appliances,consumption,energy,Lighting

Locali convenzionati
This layer shows 90 % of the locations of bars/restaurants where the Eurac lunchcard can be used. As of: 01.09.2021.

Maps

Italy,lunch,restaurant

local_policies
The information provided in this layer gives an overview of the legislation and requirements in each country and shows how they impact the spread of PEB concepts, with the help of a practical example. Different policies and related boundary conditions in each country have a great influence on the successful implementation of plus energy concepts.Therefore, national funding schemes and local policies are analysed in regard to support renewable energy generation in buildings and favour the connection with the electric grid and other district buildings (e.g. direct delivery of power to neighbour buildings, grid feed-in) as well as the local energy market (e.g. energy prices, feed-in tariff) and foreseen developments and environmental aspects.

Maps

Europe,boundary_conditions,local_policies,PEB

Mean Snow Cover Duration 2041-2070 RCP8.5
Mean Snow Cover Duration according to climate predictions of the RCP 8.5 scenario from 2041 to 2070

Maps

Global,GeoTIFF,scd_2041_2070_rcp85_noglacier_16bit_3035,WCS

MECHANICALLY VENTILATED buildings in SUMMER
In this layer, the user can find a prediction of the occupants" thermal feeling (TF) according to specific scenarios recommended in the Standard EN 16798-1, and values of Operative Temperature referring to the four Indoor Environmental Quality categories.

Maps

Europe,IEQ,IndoorEnvironmentalQuality,Thermalcomfort,Thermalfeeling

MECHANICALLY VENTILATED buildings in WINTER
In this layer, the user can find a prediction of the occupants" thermal feeling (TF) according to specific scenarios recommended in the Standard EN 16798-1, and values of Operative Temperature referring to the four Indoor Environmental Quality categories.

Maps

Europe,IEQ,IndoorEnvironmentalQuality,Thermalcomfort,Thermalfeeling

Meteo_Algund2
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Algund2,collection,Land use,Land cover

Meteo_Girlan1Lamm
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Girlan1Lamm,collection,Land use,Land cover

Meteo_Gries2NeufeldGreifensteinerweg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Gries2NeufeldGreifensteinerweg,collection,Land use,Land cover

Meteo_Lana6
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Lana6,collection,Land use,Land cover

Meteo_Nals2OberauCarli
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Nals2OberauCarli,collection,Land use,Land cover

Meteo_NeumarktStiermoos
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,NeumarktStiermoos,collection,Land use,Land cover

Meteo stations information
Layer with informations about meteorological stations for Trentino-Alto Adige region, Austria and Switzerland. The layer describe the Climate-Database of Eurac Research that contains meteorological time series of daily temperature (maximum, minimum and mean) and daily total precipitation for more than 250 station sites.

Maps

Italy,cct,climate,metadata,meteo

Meteo_Terlan3
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Terlan3,collection,Land use,Land cover

Meteo_Terlan3a
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Terlan3a,collection,Land use,Land cover

Meteo_Tramin13er
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Tramin13er,collection,Land use,Land cover

Meteo_Unterrain2FuchsangerEppan
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 5 minute average,Air Temperature - 5 minute average,Irrigation (on/off),Irrigation - 5 minute sum,Precipitation - 5 minute sum,Wind Speed - 5 minute average,Unterrain2FuchsangerEppan,collection,Land use,Land cover

min10_LaimburgProvince
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 10 minute average,Air Humidity - daily average,Air Pressure - 10 minute average,Air Pressure - daily average,Air Temperature - 10 minute average,Air Temperature - daily average,Air Temperature - daily maximum,Air Temperature - daily minimum,Dew point - 10 minute average,Global Radiation - 10 minute average,Global Radiation - daily average,Precipitation - 5 minute sum,Precipitation - daily sum,Sunshine duration - 10 minute average,Wind Direction - 10 minute average,Wind Speed - 10 minute average,Wind Speed - daily average,LaimburgProvince,collection,Land use,Land cover

min5_LaimburgProvince
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Humidity - 10 minute average,Air Humidity - daily average,Air Pressure - 10 minute average,Air Pressure - daily average,Air Temperature - 10 minute average,Air Temperature - daily average,Air Temperature - daily maximum,Air Temperature - daily minimum,Dew point - 10 minute average,Global Radiation - 10 minute average,Global Radiation - daily average,Precipitation - 5 minute sum,Precipitation - daily sum,Sunshine duration - 10 minute average,Wind Direction - 10 minute average,Wind Speed - 10 minute average,Wind Speed - daily average,LaimburgProvince,collection,Land use,Land cover

Mobile Microclimatic Urban Monitoring
Low-cost cloud-connected position-enriched sensors for mobile monitoring of several environmental parameters have been tested in the city of Bolzano (Italy), proving their suitability in identifying the spatial variability of the local climate in relation to the urban morphology, and for highlighting the presence of urban heat island. An exploratory field campaign has been carried out in May 2021 to monitor the diurnal evolution of the microclimate conditions (Tair/RH fields). Data have been acquired performing three sessions during daytime on weekdays: at morning (i.e. 08:30-10:30), noon (i.e. 12:00-14:00), and afternoon (i.e. 16:00-18:00). The measurements have been carried out in 8 days, chosen for the stationary weather conditions (i.e. clear sky and absence of wind). The selected pathway has a length of 9 km, starting and ending at NOI Techpark, crosses the city center and reaches the northern part of the city. It is specifically designed to monitor areas of Bolzano characterized by different land use, urban morphology, and human activities.

Maps

South Tyrol,dps4eslab,features,humidity,sensor,solar,temperature,urban

MODIS SNOW map over the ALPS
The collection contains binary snow cover maps covering the entire Alpine Arc. The maps have a daily frequency and a ground resolution of 250 m. They are derived from daily MODIS observations (Aqua and Terra) for the entire Alps arc. The input data are the atmospherically-corrected reflectances of MODIS MOD09GQ, MOD09GA for tile h19v04 and h18v04. The map has two bands - SNOW MAP: Snow cover classification map with four classes [0 = NO DATA - missing or corrupt data of one or more input bands; 1 = SNOW - pixel covered by snow; 2 = NO_SNOW - pixel not covered by snow; 3 = CLOUD - pixel covered by clouds], QUALITY FLAG: Snow cover quality map [NO DATA - missing or corrupt data of one or more input bands; QUALITY_INDEX - higher values indicate higher likeliness of correct classification].

OpenEO

collection,SNOW,MODIS,snow map,Alps,cct,Aqua, Terra,Land use,Land cover

MONALISA - SOS timeseries
Stations and timeseries of the MONALISA-SOS service. Environmental timeseries collected in the SouthTyrol province by the MONALISA project partners. Query the features and click the link to view last values collected

Maps

Italy,features,timeseries_sos

Monthly changes 28/10/2023 (medium confidence)
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Monthly climatologies - Climate Data Base
The dataset contains the 1981 – 2010 monthly climatologies of mean, minimum and maximum temperature and total precipitation for more than 250 locations in Trentino – South Tyrol. They were derived from the observation records of the regional meteorological network after checking all series for quality and homogeneity. Climatologies (or normals) are the mean monthly values computed over a 30-years reference interval and they represent the mean local climatic conditions. The CDB was built in the framework of the Use-Case number 8 of the DPS4ESLAB project.

PostgreSQL

meteo,precipitation,temperature,cct,ground station,climatology

Monthly damages 05/09/2023 (v2)
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Monthly damages 07/08/2023
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Monthly damages 28/10/2023 (high confidence)
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Municipality labels
Layer to display municipalities labels in Trento and Bolzano provinces

Maps

Global,comuni_TN_BZ,features,label,municipality

NATURALLY VENTILATED buildings in SUMMER
In this layer, the user can find a prediction of the occupants" thermal feeling (TF) according to specific scenarios recommended in the Standard EN 16798-1, and values of Operative Temperature referring to the four Indoor Environmental Quality categories.

Maps

Europe,IEQ,IndoorEnvironmentalQuality,Thermalcomfort,Thermalfeeling

NATURALLY VENTILATED buildings in WINTER
In this layer, the user can find a prediction of the occupants" thermal feeling (TF) according to specific scenarios recommended in the Standard EN 16798-1, and values of Operative Temperature referring to the four Indoor Environmental Quality categories.

Maps

Europe,IEQ,IndoorEnvironmentalQuality,Thermalcomfort,Thermalfeeling

NDVI_domef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - Index1,Normalized Difference Vegetation Index - Index2,Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Index1,Photochemical Reflectance Index - Index2,Photochemical Reflectance Index - average,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,domef1500,collection,Land use,Land cover

NDVI_domef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - Index1,Normalized Difference Vegetation Index - Index2,Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Index1,Photochemical Reflectance Index - Index2,Photochemical Reflectance Index - average,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,domef2000,collection,Land use,Land cover

NDVI_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Gamon,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,KalternEddyCov,collection,Land use,Land cover

NDVI_nemef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - Index1,Normalized Difference Vegetation Index - Index2,Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Index1,Photochemical Reflectance Index - Index2,Photochemical Reflectance Index - average,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,nemef1500,collection,Land use,Land cover

NDVI_nemef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - Index1,Normalized Difference Vegetation Index - Index2,Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Index1,Photochemical Reflectance Index - Index2,Photochemical Reflectance Index - average,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,nemef2000,collection,Land use,Land cover

NDVI_vimef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - Index1,Normalized Difference Vegetation Index - Index2,Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Index1,Photochemical Reflectance Index - Index2,Photochemical Reflectance Index - average,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,vimef2000,collection,Land use,Land cover

NDVI_vimes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - Index1,Normalized Difference Vegetation Index - Index2,Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Index1,Photochemical Reflectance Index - Index2,Photochemical Reflectance Index - average,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,vimes1500,collection,Land use,Land cover

Nuts2 alpinespace-Eusalp intersection
The Alpine Drought Observatory - ADO project is interested in discharge (only for stations with a catchment area > 1000 Km2 and currently active), groundwater (only for stations for major groundwater bodies), and major lake levels (only for major water bodies (surface > 5 km2)) data. The overall objective of the Alpine Drought Observatory - ADO project is to create an online drought monitoring platform and develop policy implementation guidelines for proactive drought management in the Alpine regions. The ADO project consortium includes 11 institutions from 6 Alpine countries with a wide range of expertise, covering meteorological and hydrological monitoring, specific knowledge on modeling, drought risk and impact assessment, as well as water governance in the different sectors. Further information about the ADO project can be found here: https://www.alpine-space.eu/projects/ado/en/about.

Maps

Europe,nuts2_alpinespaceEusalp_intersection

NUTS2_Alps
Nuts features level-2 for alpine region. The features represent provinces for this area.

Maps

Europe,features,NUTS2_Alps

nuts2_simplified
NUTS region, level 2 for the EUSALP area. The border are simplified respect to the original data source to get a lighter version.

Maps

Europe,features,nuts2_simplified

OBM_v02
No abstract provided

Maps

Global,features,OBM_v02

Ortler_Alpen_Specialkarte_Meurer-Freytag
Historical Map (1:50.000) of the Ortler Alps made by Julius Meurer (1838-1923), Gustav Freytag (?-1938) in 1884.

Maps

Europe,GeoTIFF,Ortler_Alpen_Specialkarte_Meurer-Freytag,WCS

PAR_domef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,domef1500,collection,Land use,Land cover

PAR_domef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,domef2000,collection,Land use,Land cover

PAR_domes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,domes1500,collection,Land use,Land cover

PAR_domes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,domes2000,collection,Land use,Land cover

PAR_dopas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,dopas2000,collection,Land use,Land cover

PAR_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation,KalternEddyCov,collection,Land use,Land cover

PAR_nemef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,nemef1500,collection,Land use,Land cover

PAR_nemef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,nemef2000,collection,Land use,Land cover

PAR_nemes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,nemes1500,collection,Land use,Land cover

PAR_nemes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,nemes2000,collection,Land use,Land cover

PAR_nepas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,nepas2000,collection,Land use,Land cover

PAR_vimef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,vimef1500,collection,Land use,Land cover

PAR_vimef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,vimef2000,collection,Land use,Land cover

PAR_vimes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,vimes1500,collection,Land use,Land cover

PAR_vimes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,vimes2000,collection,Land use,Land cover

PAR_vipas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Photosynthetically Active Radiation - down average,Photosynthetically Active Radiation - up average,vipas2000,collection,Land use,Land cover

Past Avalanche Events
Southtyrol: past avalanche events.

Maps

Italy,avalanche,events,hazard

Path simulation
Simulation for the START project of the path of 3 person in the Park site. In the future this simulation will be replaced by a near real time updated layer. You can see on the map different position at different time using the arrow of the timeline tool on the map.

Maps

Italy,features,path,person,simulation

PEB_guidelines
This layer provides exemplary national initiatives and guidelines materials for the design and experimentation for high standards of energy efficient buildings such as PEB, ZEB and NZEB. The different national initiatives referenced intends to represent the 4 EU climates which are object of study of CULTURAL-E.

Maps

Global,cct,energy,features,households,PEB_guidelines

Poligoni riferimento bostrico
No abstract provided

Maps

South Tyrol,features,poligoni_riferimento_bostrico

Population Density
The ratio between the annual average population and the land area. The land area concept (excluding inland waters) should be used wherever available; if not available then the total area, including inland waters (area of lakes and rivers) is used. The frequency is annual.

Maps

Europe,Density,Population

Potential UAS-AED Stations
Potential UAS-AED Network of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

Precipitation Anomalies - ERA5_QM REL_RR-1
Relative precipitation anomalies are based on downscaled ERA5 reanalysis data (downscaling is performed using quantile mapping method) and calculated for different time scales (1, 2, 3, 6, 12 months). The values represent the % of normal precipitation, where normal is defined as the long-term average (1981-2020).

OpenEO

collection,RR anomalies,relative precipitation anomalies,precipitation anomalies,ERA5,cct,N/A,Land use,Land cover

Precipitation Anomalies - ERA5_QM REL_RR-12
Relative precipitation anomalies are based on downscaled ERA5 reanalysis data (downscaling is performed using quantile mapping method) and calculated for different time scales (1, 2, 3, 6, 12 months). The values represent the % of normal precipitation, where normal is defined as the long-term average (1981-2020).

OpenEO

collection,RR anomalies,relative precipitation anomalies,precipitation anomalies,ERA5,cct,N/A,Land use,Land cover

Precipitation Anomalies - ERA5_QM REL_RR-2
Relative precipitation anomalies are based on downscaled ERA5 reanalysis data (downscaling is performed using quantile mapping method) and calculated for different time scales (1, 2, 3, 6, 12 months). The values represent the % of normal precipitation, where normal is defined as the long-term average (1981-2020).

OpenEO

collection,RR anomalies,relative precipitation anomalies,precipitation anomalies,ERA5,cct,N/A,Land use,Land cover

Precipitation Anomalies - ERA5_QM REL_RR-3
Relative precipitation anomalies are based on downscaled ERA5 reanalysis data (downscaling is performed using quantile mapping method) and calculated for different time scales (1, 2, 3, 6, 12 months). The values represent the % of normal precipitation, where normal is defined as the long-term average (1981-2020).

OpenEO

collection,RR anomalies,relative precipitation anomalies,precipitation anomalies,ERA5,cct,N/A,Land use,Land cover

Precipitation Anomalies - ERA5_QM REL_RR-6
Relative precipitation anomalies are based on downscaled ERA5 reanalysis data (downscaling is performed using quantile mapping method) and calculated for different time scales (1, 2, 3, 6, 12 months). The values represent the % of normal precipitation, where normal is defined as the long-term average (1981-2020).

OpenEO

collection,RR anomalies,relative precipitation anomalies,precipitation anomalies,ERA5,cct,N/A,Land use,Land cover

PREC_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Precipitation - 30 minute sum,KalternEddyCov,collection,Land use,Land cover

PRI_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Normalized Difference Vegetation Index - average,Normalized Difference Vegetation Index - down near infrared,Normalized Difference Vegetation Index - down red,Normalized Difference Vegetation Index - up near infrared,Normalized Difference Vegetation Index - up red,Photochemical Reflectance Index - Gamon,Photochemical Reflectance Index - down near infrared,Photochemical Reflectance Index - down red,Photochemical Reflectance Index - up near infrared,Photochemical Reflectance Index - up red,KalternEddyCov,collection,Land use,Land cover

RandomForestClassifier_batch_FT_M6789_WTE_CORINE_con_DEM_N5000_32TPS_32TQS_32TPT_32TQT_32TPS
Downscaled landcover classification map using WTE classes generated using the pipeline developed in the AI4EBV project, using Random Forest, for year 2018.

Maps

Europe,AI4EBV,land cover,WTE

RandomForestClassifier_batch_FT_M6789_WTE_CORINE_con_DEM_N5000_32TPS_32TQS_32TPT_32TQT_32TPT
Downscaled landcover classification map using WTE classes generated using the pipeline developed in the AI4EBV project, using Random Forest, for year 2018.

Maps

Europe,AI4EBV,land cover,WTE

RandomForestClassifier_batch_FT_M6789_WTE_CORINE_con_DEM_N5000_32TPS_32TQS_32TPT_32TQT_32TQS
Downscaled landcover classification map using WTE classes generated using the pipeline developed in the AI4EBV project, using Random Forest, for year 2018.

Maps

Europe,AI4EBV,land cover,WTE

RandomForestClassifier_batch_FT_M6789_WTE_CORINE_con_DEM_N5000_32TPS_32TQS_32TPT_32TQT_32TQT
Downscaled landcover classification map using WTE classes generated using the pipeline developed in the AI4EBV project, using Random Forest, for year 2018.

Maps

Europe,AI4EBV,land cover,WTE

Report on existing monitoring platforms and potential data for the integration into ADO
The purpose of this report is to prepare a foundation for this working process. An overview of the state of drought observation and detection in the Alpine region has been prepared, which will also serve as basis for its upgrade or extension to the entire Alpine area. The state of the art analysis prepared by project partners (at least one per participating country) was conducted by uniform questionnaire that was circulated among ADO project partners covering four topics: drought monitoring approach, drought-information platforms, the regional & EU drought monitoring approach, and potential drought indices in ADO.

Other

SPEI,SPI,Slovenia,ADO,ADO project,ADO platform,cct,Slovenia,Europe,Hydrography,natural areas, landscape, ecosystems,natural dynamics,climate,disasters, accidents, risk,water

Rund um dolomiten tracks
Rund um dolomiten tracks in the Bletterback park

Maps

Italy,features,track

scd_20001001_20190930_16bit_3035
No abstract provided

Maps

Global,GeoTIFF,scd_20001001_20190930_16bit_3035,WCS

scd_2041_2070_rcp26_noglacier_16bit_3035
No abstract provided

Maps

Global,GeoTIFF,scd_2041_2070_rcp26_noglacier_16bit_3035,WCS

scd_2071_2100_rcp26_noglacier_16bit_3035
No abstract provided

Maps

Global,GeoTIFF,scd_2071_2100_rcp26_noglacier_16bit_3035,WCS

scd_2071_2100_rcp85_noglacier_16bit_3035
No abstract provided

Maps

Global,GeoTIFF,scd_2071_2100_rcp85_noglacier_16bit_3035,WCS

sentinel2_grid
This layer display the uodate-date for each tile of the Sentinel-2 rgb mosaic. It is daily updated for each tile if a new good (lexx 30% cloud coverage) image is downloaded.

Maps

Europe,features,sentinel2_grid,update

SENTINEL2_MOSAIC_2018_06_09_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2018. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2018_06_09_CIR,WCS

SENTINEL2_MOSAIC_2018_06_09_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2018. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2018_06_09_RGB,WCS

Sentinel-2 MOSAIC-2019
Sentinel-2 mosaic clouds free. Year 2019

Maps

Global,GeoTIFF,S2_MOSAIC_2019_ST_VIS_stretch,WCS

SENTINEL2_MOSAIC_2019_06_09_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2019. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2019_06_09_CIR,WCS

SENTINEL2_MOSAIC_2019_06_09_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2019. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2019_06_09_RGB,WCS

SENTINEL2_MOSAIC_2020_06_09_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2020. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2020_06_09_CIR,WCS

SENTINEL2_MOSAIC_2020_06_09_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2020. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2020_06_09_RGB,WCS

SENTINEL2_MOSAIC_2021_06_09_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2021. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2021_06_09_CIR,WCS

SENTINEL2_MOSAIC_2021_06_09_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2021. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2021_06_09_RGB,WCS

SENTINEL2_MOSAIC_2022_06_09_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2022. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2022_06_09_CIR,WCS

SENTINEL2_MOSAIC_2022_06_09_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2022. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Europe,GeoTIFF,rgb,SENTINEL2_MOSAIC_2022_06_09_RGB,south tyrol,WCS

SENTINEL2_MOSAIC_2022_08_09_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within August and September 2022. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2022_08_09_CIR,WCS

SENTINEL2_MOSAIC_2022_08_09_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within August and September 2022. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Europe,GeoTIFF,SENTINEL2_MOSAIC_2022_08_09_RGB,WCS

SENTINEL2_MOSAIC_20230601_20230930_CIR
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2023. Displayed as color-infrared (CIR) representation combining the nir, green and blue bands.

Maps

Global,GeoTIFF,SENTINEL2_MOSAIC_20230601_20230930_CIR,WCS

SENTINEL2_MOSAIC_20230601_20230930_RGB
Cloudfree satellite mosaic composed of Sentinel-2 images acquired within June and September 2023. Displayed as true color (RGB) representation combining the red, green and blue bands.

Maps

Global,GeoTIFF,SENTINEL2_MOSAIC_20230601_20230930_RGB,WCS

Sentinel-2 RGB last image available
This layer is a mosaic of rgb tiles from SENTINEL-2 mission, updated every day with the last images available with less than 30% of cloud coverage. Have look to this map for information regarding update dates: https://maps.eurac.edu/maps/118/view

Maps

Europe,color,mosaic,rgb,sentinel

Sentinel-2 RGB mosaic before Vaja Storm
RGB cloudless image to view the situation of the vegetation before Vaja storm.

Maps

Italy,GeoTIFF,Sentinel2_20180926_8bit_rgb,WCS

Sentinel-2 rgb mosaic no clouds for 2018
This picture is a mosaic with Sntinel-2 images without clouds to estimate the forest coverage in South Tyrol.

Maps

Italy,GeoTIFF,rgb,sentinel,Sentinel2_20181015-20181018_8bit_rgb,WCS

SH_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Heat Flux 1,Soil Heat Flux 2,KalternEddyCov,collection,Land use,Land cover

Snow depth - Venosta Valley
Daily snow depth [mm] maps for the Venosta Valley (South Tyrol,Italy) produced with the GEOtop hydrological model.

OpenEO

collection,snow,depth,geotop,model,Land use,Land cover

Soil moisture and temperature datasets in LIDO orchard
Soil moisture and temperature timeserie datasets of the apple orchard located in the Laimburg Integrated Digital Orchard in Bolzano province. The timeseries collects data about soil moisture and temperature at 20 cm, 30 cm and 40 cm under the soil surface in 3 different position of the orchard. Acquisition frequency is 30 minutes for all the parameters.

InfluxDB

soil,temperature,water,soil moisture,cct,Soil,Agricultural and aquaculture facilities,agriculture,climate,water,soil

Soil Moisture Anomalies - ERA5_QM
ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. Currently data is available from 1950, split into Climate Data Store entries for 1950-1978 (preliminary back extension) and from 1979 onwards (final release plus timely updates, this page). ERA5 replaces the ERA-Interim reanalysis. ERA5-Land offers "land" variables with an enhanced resolution, compared to ERA5. Albeit, at the time of processing with a higher latency. Therefore, ERA5 was downscaled to the 9 km ERA5-Land grid using a quantile mapping approach. The soil moisture anomalies are based on the original ERA5 fields "Volumetric soil water layer 1 - 4", representing the following depths: layer 1 (0-7cm), layer 2 (7-28cm), layer 3 (28-100 cm), layer 4 (100-289 cm). Anomalies were calculated based on the period 1981-2010 as a reference. Contains modified Copernicus Climate Change Service information [1980-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1980-current year]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

OpenEO

collection,Soil moisture,soil moisture anomalies,ERA5,ERA5-Land,Copernicus,ADO project,ADO,cct,N/A,Land use,Land cover

Solar energy in alpine historic buildings
Layer to represent the position of seven case study buildings of exemplary energy efficient interventions in historic buildings. In all buildings, a photovoltaic or solar thermal system was integrated as one of the renovation measures.

Maps

Europe,energy refurbishment,historic buildings

Solar energy in alpine historic buildings tour
Layer to represent the "tour" to seven case study buildings of exemplary energy efficient interventions in historic buildings. In all buildings, a photovoltaic or solar thermal system was integrated as one of the renovation measures.

Maps

Europe,historic buildings,virtual tour

Solar Irradiation - Monthly Mean Annual Average
Monthly Mean Annual Average of Solar Irradiation in kW/h.

Maps

Italy,GeoTIFF,irradiation,solar,WCS

Southtyrol: Administrative Units and Municipalities
This layer shows the municipality boundaries for Southtyrol, the Autonomous Province of Bolzano/Bozen.

Maps

Italy,administrative,boundaries,municipality

SOUTH TYROL: Hexagonal tessellation (~250m)
Tessellation onto regular hexagonal cells of South Tyrol (IT) at a resolution of ~250m.

Maps

Austria,features,st_tessellation_250m_pol,suedtirol,tessellation

SOUTH TYROL: impacts of flood events (ED30)
Impacts of flood events in South Tyrol (IT) taken from the ED30 database.

Maps

Italy,ed30,features,st_hzd_evnt_hydro_ed30_apb_pnt_all

SOUTH TYROL: impacts of landslide events (IFFI)
Impacts of landslides events in South Tyrol (IT) taken from the IFFI (Inventory of Landslide Phenomena in Italy) database [last update 18 Nov 2022].

Maps

Italy,events,features,IFFI,landslides,south tyrol,st_hzd_evnt_landslides_pt_s4_p_iffi

South Tyrol Land Use Land Cover (Level 1)
This layer shows the level 1 land use land cover classes for the Province of South Tyrol.

Maps

Italy,land cover,landuse,South Tyrol

SOUTH TYROL: Population Density (Ago 2015, 02PM, 100m)
Dynamic population density model for South Tyrol (IT) at 100m of spatial resolution at 2:00 PM (Aug 2015 run).

Maps

Italy,August,GeoTIFF,Population,ST_pop_100m_Aug2015_1400_WD_AllAgeGroups_ras,WCS

SOUTH TYROL: Population Density (Aug 2015, 02AM, 100m)
Dynamic population density model for South Tyrol (IT) at 100m of spatial resolution at 2:00 AM (Aug 2015 run).

Maps

Italy,August,GeoTIFF,Population,ST_pop_100m_Aug2015_0200_WD_AllAgeGroups_ras,WCS

SOUTH TYROL: Population Density (Feb 2015, 02PM, 100m)
Dynamic population density model for South Tyrol (IT) at 100m of spatial resolution at 2:00 PM (Feb 2015 run).

Maps

Italy,February,GeoTIFF,Population,ST_pop_100m_Feb2015_1400_WD_AllAgeGroups_ras,WCS

SOUTH TYROL: Population flow comparison with traffic counts
Absolute difference between traffic counts in the 5-9 AM time interval (2021 averages) and the commuting population flow model output.

Maps

Italy,commuting,features,flow,st_traffic_vs_flow_250tess_2021,traffic,validation

Southtyrol Settlements
No abstract provided

Maps

Italy,settlements,Southtyrol

SOUTH TYROL: tessellated OSM drivable roads (~250m)
Drivable roads from OpenStreetMap over South Tyrol (IT) onto an hexagonal tessellation of ~250m.

Maps

Italy,drive,features,south tyrol,st_tran_rds_ln_s4_osm_pp_drive_250tess,tessellation

SOUTH TYROL: tessellated OSM drivable roads with traffic simulation (~250m)
Drivable roads from OpenStreetMap over South Tyrol (IT) onto an hexagonal tessellation of ~250m, where the weight of each edge is reduced by an amount thatis proportional to the simulation of home->work traffic of South Tyrol.

Maps

Italy,features,st_tran_rds_ln_s4_osm_pp_drive_250tess_dyn

SOUTH TYROL: Tessellated population day/night (~250m)
Multi-temporal aggregated population data over South Tyrol onto an hexagonal tessellation of ~250m. Day-time, night-time and commuting time are available.

Maps

Italy,day,features,night,Population,st_pop_pol_s3_250m_daynight

SOUTH TYROL: Traffic counts per hour [2021]
2021 yearly averages of traffic counts per each hour of the day, over South Tyrol.

Maps

Italy,features,hour,st_trans_traffic_counts_hourly_average_2021_apb_pnt,traffic

SOUTH TYROL: Traffic Report (current situation)
Accumulated records of the traffic situation over the roads of South Tyrol (data taken from South Tyrol geo-portal at https://geoservices2.civis.bz.it/geoserver/pczs-Traffic/wfs).

Maps

Italy,features,southtyrol_tran_traffic_report_pt_s4_pa_pp,traffic

SOUTH TYROL: Traffic Report (mountain roads and passes)
Accumulated records of traffic events over mountain roads and passes in South Tyrol (data taken from South Tyrol geo-portal at https://geoservices2.civis.bz.it/geoserver/pczs-Traffic/wfs).

Maps

Italy,features,mountain,southtyrol_tran_traffic_report_pt_s4_pa_pp_mroads_and_passes,traffic

SOUTH TYROL: Traffic Report (neighbouring countries)
Accumulated records of traffic events related to border areas in South Tyrol (data taken from South Tyrol geo-portal at https://geoservices2.civis.bz.it/geoserver/pczs-Traffic/wfs).

Maps

Italy,border,features,southtyrol_tran_traffic_report_pt_s4_pa_pp_neigh_countries,traffic

SOUTH TYROL: Traffic Report (public transports)
Accumulated records of traffic events related to public transports in South Tyrol (data taken from South Tyrol geo-portal at https://geoservices2.civis.bz.it/geoserver/pczs-Traffic/wfs).

Maps

Italy,public,southtyrol_tran_traffic_report_pt_s4_pa_pp_public_transports,traffic

SOUTH TYROL: Traffic Report (road works and locks)
Accumulated records of works and locks over the roads of South Tyrol (data taken from South Tyrol geo-portal at https://geoservices2.civis.bz.it/geoserver/pczs-Traffic/wfs).

Maps

Italy,features,locks,southtyrol_tran_traffic_report_pt_s4_pa_pp_works_and_locks,traffic,works

SOUTH TYROL / VAIA: Landslide probability maps
Polygonized time-series of landslide susceptibility (%) over South Tyrol.

Maps

Italy,landslides,st_hzd_pred_landslides_pol_s4_p_polygonized,susceptibility

ST_Algund2
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Algund2,collection,Land use,Land cover

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-12
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-2
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-3
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping.Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-6
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-1
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-12
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-2
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-3
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-6
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Snow Pack Index - ERA5_QM SSPI-10
The Standardized Snow Pack Index (SSPI) represents a standardized measure of what a certain value of snow water equivalent (SWE) averaged over the selected time period means in relation to the expected value for this period. SSPI is computed the same way as the SPI (using gamma distribution), except for being based on daily SWE timeseries instead of daily precipitation. It is calculated using the average SWE over a period of 10 and 30 days. The value of the SSPI index around 0 represents the normal expected conditions for the average SWE in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus, while the value of -1 is about one standard deviation of the deficit. SWE data used as input for the calculation of SSPI are derived using a modified version of the deterministic snow model SNOWGRID-CL, with downscaled ERA5 data used as model input data. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SSPI,standardised snow pack index,ERA5,SNOWGRID,cct,N/A,Land use,Land cover

Standardised Snow Pack Index - ERA5_QM SSPI-30
The Standardized Snow Pack Index (SSPI) represents a standardized measure of what a certain value of snow water equivalent (SWE) averaged over the selected time period means in relation to the expected value for this period. SSPI is computed the same way as the SPI (using gamma distribution), except for being based on daily SWE timeseries instead of daily precipitation. It is calculated using the average SWE over a period of 10 and 30 days. The value of the SSPI index around 0 represents the normal expected conditions for the average SWE in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus, while the value of -1 is about one standard deviation of the deficit. SWE data used as input for the calculation of SSPI are derived using a modified version of the deterministic snow model SNOWGRID-CL, with downscaled ERA5 data used as model input data. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SSPI,standardised snow pack index,ERA5,SNOWGRID,cct,N/A,Land use,Land cover

Standardisied Precipitation-Evapotranspiration Index - ERA5_QM SPEI-1
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

ST_domef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domef1500,collection,Land use,Land cover

ST_domef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domef2000,collection,Land use,Land cover

ST_domes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domes1500,collection,Land use,Land cover

ST_domes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domes2000,collection,Land use,Land cover

ST_dopas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,dopas2000,collection,Land use,Land cover

ST_Eppanberg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Eppanberg,collection,Land use,Land cover

ST_Eppanberg_matrix
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Temperature - 60cm,Soil Water Potential - 20cm,Soil Water Potential - 40cm,Soil Water Potential - 60cm,Eppanberg,collection,Land use,Land cover

ST_Girlan1Lamm
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Girlan1Lamm,collection,Land use,Land cover

ST_GRIDDED_TIME_SERIES_PRECIPITATION
The product contains the gridded daily series of mean precipitation at 250-m spatial resolution for the region Trentino – South Tyrol. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database: https://edp-portal.eurac.edu/cdb_doc/. The climatologies refer to the averages over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.

OpenEO

collection,Precipitation,Daily,High-resolution,cct,Land use,Land cover

ST_GRIDDED_TIME_SERIES_TEMPERATURE
The product contains the gridded daily series of mean temperature at 250-m spatial resolution for the region Trentino – South Tyrol. The dataset currently spans the period 1980 – 2020, but it is expected to be regularly updated. It was obtained by applying an anomaly-based interpolation to the observations of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All station series used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database: https://edp-portal.eurac.edu/cdb_doc/. Mean temperature was here defined as the daily average of maximum and minimum temperature. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.

OpenEO

collection,Temperature,Daily,High-resolution,cct,Land use,Land cover

ST_Gries2NeufeldGreifensteinerweg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Gries2NeufeldGreifensteinerweg,collection,Land use,Land cover

ST_Kaltern
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Kaltern,collection,Land use,Land cover

ST_Kaltern_matrix
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Temperature - 60cm,Soil Water Potential - 20cm,Soil Water Potential - 40cm,Soil Water Potential - 60cm,Kaltern,collection,Land use,Land cover

ST_Laimburg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Laimburg,collection,Land use,Land cover

ST_Lana6
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Lana6,collection,Land use,Land cover

ST_MONTHLY_GRIDDED_CLIMATOLOGIES_PRECIPITATION
The product contains the gridded climatologies of monthly total precipitation for Trentino – South Tyrol for the period 1981–2010. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database:https://edp-portal.eurac.edu/cdb_doc/. The climatologies refer to the averages over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.

OpenEO

collection,Temperature,Climatologies,Daily,High-resolution,cct,Land use,Land cover

ST_MONTHLY_GRIDDED_CLIMATOLOGIES_TEMPERATURE
The product contains the gridded climatologies of monthly mean temperature for Trentino – South Tyrol for the period 1981–2010. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database:https://edp-portal.eurac.edu/cdb_doc/. Mean temperature was here defined as the average of maximum and minimum temperature. The climatologies represent the mean values over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021).

OpenEO

collection,Temperature,Climatologies,Daily,High-resolution,cct,Land use,Land cover

ST_Nals2OberauCarli
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Nals2OberauCarli,collection,Land use,Land cover

ST_nemef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemef1500,collection,Land use,Land cover

ST_nemef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemef2000,collection,Land use,Land cover

ST_nemes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemes1500,collection,Land use,Land cover

ST_nemes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemes2000,collection,Land use,Land cover

ST_nepas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nepas2000,collection,Land use,Land cover

ST_NeumarktStiermoos
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,NeumarktStiermoos,collection,Land use,Land cover

ST_StPaulsFeld
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,StPaulsFeld,collection,Land use,Land cover

ST_StPaulsFeld_matrix
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Temperature - 60cm,Soil Water Potential - 20cm,Soil Water Potential - 40cm,Soil Water Potential - 60cm,StPaulsFeld,collection,Land use,Land cover

ST_Terlan3
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Terlan3,collection,Land use,Land cover

ST_Terlan3a
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Terlan3a,collection,Land use,Land cover

ST_Tramin13er
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Tramin13er,collection,Land use,Land cover

ST_Unterrain2FuchsangerEppan
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Unterrain2FuchsangerEppan,collection,Land use,Land cover

ST_vimef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimef1500,collection,Land use,Land cover

ST_vimef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimef2000,collection,Land use,Land cover

ST_vimes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimes1500,collection,Land use,Land cover

ST_vimes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimes2000,collection,Land use,Land cover

ST_vipas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vipas2000,collection,Land use,Land cover

Süd-Ago-Ost: Betweenness centrality on OSM drivable roads
Betweenness centrality topologic indicator calculated on the OSM drivable roads over the trans-national area composed of Alto Adige / Südtirol, Agordino (Belluno, Italy), and Osttirol (Lienz districit, Austria).

Maps

Austria,betweenness centrality,drive,features,osm,sudagoost_tran_rds_ln_s4_osm_pp_drive_betwcentr

Süd-Ago-Ost: Hospitals accessibility on OSM drivable roads
Hospital accessibility indicator calculated on the OSM drivable roads over the trans-national area composed of Alto Adige / Südtirol, Agordino (Belluno, Italy), and Osttirol (Lienz districit, Austria).

Maps

Austria,accessibilty,features,osm,sudagoost_tran_rds_ln_s4_osm_pp_drive_hospacc

Süd-Ago-Ost: OSM drivable roads
Drivable roads from OpenStreetMap over the trans-national area composed of Alto Adige / Südtirol, Agordino (Belluno, Italy), and Osttirol (Lienz districit, Austria).

Maps

Austria,drive,features,osm,sudagoost_tran_rds_ln_s4_osm_pp_drive

Süd-Ago-Ost: OSM main roads
Main roads from OpenStreetMap over the trans-national area composed of Alto Adige / Südtirol, Agordino (Belluno, Italy), and Osttirol (Lienz districit, Austria).

Maps

Austria,features,main,osm,sudagoost_tran_rds_ln_s3_osm_pp_main

Suitable areas in Canton Ticino for e-bike chargers
Layer to represent the most suitable locations for installing charging infrastructure for e-bikes in Canton Ticino (Switzerland).

Maps

Switzerland,e-mobility

Suitable areas in Canton Ticino for e-car chargers
Layer to represent the most suitable locations for installing charging infrastructure for e-cars in Canton Ticino (Switzerland).

Maps

Switzerland,e-mobility

Suitable areas in South Tyrol for e-bike chargers
Layer to represent the most suitable locations for installing charging infrastructure for e-bikes in South Tyrol.

Maps

Italy,e-mobility

Suitable areas in South Tyrol for e-car chargers
Layer to represent the most suitable locations for installing charging infrastructure for e-cars in South Tyrol.

Maps

Italy,e-mobility

Suitable areas in Verbano-Cusio-Ossola for e-bike chargers
Layer to represent the most suitable locations for installing charging infrastructure for e-bikes in Verbano-Cusio-Ossola province.

Maps

Italy,e-mobility

Suitable areas in Verbano-Cusio-Ossola for e-car chargers
Layer to represent the most suitable locations for installing charging infrastructure for e-cars in Verbano-Cusio-Ossola province.

Maps

Italy,e-mobility

SWC_Algund2
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Algund2,collection,Land use,Land cover

SWC_domef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domef1500,collection,Land use,Land cover

SWC_domef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domef2000,collection,Land use,Land cover

SWC_domes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domes1500,collection,Land use,Land cover

SWC_domes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,domes2000,collection,Land use,Land cover

SWC_dopas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,dopas2000,collection,Land use,Land cover

SWC_Eppanberg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Eppanberg,collection,Land use,Land cover

SWC_Girlan1Lamm
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Girlan1Lamm,collection,Land use,Land cover

SWC_Gries2NeufeldGreifensteinerweg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Gries2NeufeldGreifensteinerweg,collection,Land use,Land cover

SWC_Kaltern
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Kaltern,collection,Land use,Land cover

SWC_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

SWC_60cm,Soil Water Content (control) - 0-30cm,Soil Water Content (trenched plots) - 0-30cm,Soil Water Content - 0-30cm,Soil Water Content - 30cm,Soil Water Content - 5cm,KalternEddyCov,collection,Land use,Land cover

SWC_Laimburg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Laimburg,collection,Land use,Land cover

SWC_Lana6
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Lana6,collection,Land use,Land cover

SWC_Nals2OberauCarli
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Nals2OberauCarli,collection,Land use,Land cover

SWC_nemef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemef1500,collection,Land use,Land cover

SWC_nemef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemef2000,collection,Land use,Land cover

SWC_nemes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemes1500,collection,Land use,Land cover

SWC_nemes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nemes2000,collection,Land use,Land cover

SWC_nepas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,nepas2000,collection,Land use,Land cover

SWC_NeumarktStiermoos
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,NeumarktStiermoos,collection,Land use,Land cover

SWC_StPaulsFeld
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,StPaulsFeld,collection,Land use,Land cover

SWC_Terlan3
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Terlan3,collection,Land use,Land cover

SWC_Terlan3a
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Terlan3a,collection,Land use,Land cover

SWC_Tramin13er
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Tramin13er,collection,Land use,Land cover

SWC_Unterrain2FuchsangerEppan
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Water Content - 20cm,Soil Water Content - 40cm,Unterrain2FuchsangerEppan,collection,Land use,Land cover

SWC_vimef1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimef1500,collection,Land use,Land cover

SWC_vimef2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimef2000,collection,Land use,Land cover

SWC_vimes1500
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimes1500,collection,Land use,Land cover

SWC_vimes2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vimes2000,collection,Land use,Land cover

SWC_vipas2000
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 2cm,Soil Temperature - 5cm,Soil Water Content - 20cm,Soil Water Content - 2cm,Soil Water Content - 5cm,vipas2000,collection,Land use,Land cover

SWP_Eppanberg
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Temperature - 60cm,Soil Water Potential - 20cm,Soil Water Potential - 40cm,Soil Water Potential - 60cm,Eppanberg,collection,Land use,Land cover

SWP_Kaltern
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Soil Temperature - 20cm,Soil Temperature - 40cm,Soil Temperature - 60cm,Soil Water Potential - 20cm,Soil Water Potential - 40cm,Soil Water Potential - 60cm,Kaltern,collection,Land use,Land cover

TEMPHUM_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Air Temperature - 30 minute average,Relative Air Humidity - 30 minute average,KalternEddyCov,collection,Land use,Land cover

Test layer alternative fuel pag.10
iMONITRAF layer, Alternative fuel pag 10 of the document

Maps

Europe,altern_fuel_10,features

Tofana Global Position System receiving station
Global Position System receiving station timeseries datasets. The receiving station is located on the above infrastructure for the cable lift of Freccia nel Cielo in Tofana di Mezzo at about 2800 m above the sea level. The main goal is monitoring the movement of the cable infrastructure, in the contest of the RESCUE PERMAFROST project .Time interval is double: 1 hour and 1 day. Spatial Reference System is EPSG:32633.

InfluxDB

GPS,permafrost,GNSS,sensor,Buildings,Geology,Transport networks,Elevation,natural dynamics,natural areas, landscape, ecosystems,climate

TRANSALP Study Area
Extent of the cross-border study area for the TRANSALP project, which includes South Tyrol (IT), Valle Agordino (Veneto, IT), and East Tyrol (AT).

Maps

Austria,extent,features,study,transalp_test_site_extent_pol_pp

TRANSALP Study Area Agordino - Valle del Cordevole
This layer shows the geographic extent of the TRANSALP study area Agordino - Valle del Cordevole.

Maps

Italy,extent,Veneto

TRANSALP Study Area Agordino - Valle del Cordevole (IT)
This layer shows the spatial extent of the Transalp study area Agordino - Valle del Cordevole.

Maps

Global,extent,study area,Veneto

TRANSALP Study Area: Betweenness centrality on tessellated OSM drivable roads
Betweenness centrality topologic indicator calculated on the OSM drivable roads over the trans-national area of South Tyrol (IT), Agordino (Veneto, IT) and East Tyrol (AU). Roads have been projected onto a 250m regular hexagonal tessellation before analysis.

Maps

Austria,betweenness centrality,drive,features,osm,tessellation,transalp_tran_rds_ln_s4_osm_pp_drive_250tess_betwcentr

TRANSALP Study Area: CORINE Land Cover 2018
The Copernicus "CORINE Land Cover" dataset of 2018, clipped over the TRANSALP project cross-border test area.

Maps

Austria,features,transalp_landuse_corine_pol_pp_2018

TRANSALP Study Area East Tyrol
This layer shows the spatial extent of the TRANSALP study area East Tyrol.

Maps

Austria,East tyrol,study area

TRANSALP Study Area: Hexagonal tessellation (~250m)
Tessellation onto regular hexagonal cells of the TransAlp project"s study area, which comprises South Tyrol (IT), Valle Agordina (Veneto) and East Tyrol (AU), at a resolution of ~250m.

Maps

Austria,features,tessellation,transalp,transalp_tesselation_250m_cross_border_studyarea

TRANSALP Study Area: Hospitals accessibility on tessellated OSM drivable roads
Hospital accessibility indicator calculated on the tessellated OSM drivable roads over the trans-national area covering South Tyrol (IT), Agordino (Veneto, IT), and East Tyrol (AU).

Maps

Austria,accessibilty,features,hospitals,tessellation

TRANSALP Study Area South Tyrol
This layer shows the geographic extent of the TRANSALP study area South Tyrol.

Maps

Italy,extent,South Tyrol

TRANSALP Study Area: tessellated OSM drivable roads (~250m)
Drivable roads from OpenStreetMap over TransAlp project"s study area (South Tyrol, East Tyrol, Valle Agordina) onto an hexagonal tessellation of ~250m.

Maps

Austria,drive,features,tessellation,transalp,transalp_tran_rds_ln_s4_osm_pp_drive_250tess

TRANSALP Study Area: Tessellated population (~250m)
Aggregated population data over the TransAlp project"s study area, which comprises South Tyrol (IT), Valle Agordina (Veneto) and East Tyrol (AU), onto an hexagonal tessellation of ~250m.

Maps

Austria,features,Population,tessellation,transalp_study_area_tesselation_population_pol

Tree_Mask_2018
This layer represents the first draft of a forest mask for the province of South Tyrol based on classification of Sentinel-2 images acquired between 2015 and 2018.

Maps

South Tyrol,Forest,forest mask,south tyrol

Tree_Mask_2018_final
Final Tree Mask of 2018 for the province of South Tyrol based on on the classification of spectral-temporal metrics of Sentinel-2 images between 2015-2018 as well as slope and elevation information from the EU-DEM.

Maps

South Tyrol,Forest,forest map,south tyrol

Tree_Mask_2019
Tree Mask of 2019 for the province of South Tyrol based on on the classification of spectral-temporal metrics of Sentinel-2 images between 2017-2019 as well as slope and elevation information from the EU-DEM. Changes since mapping began in 2018 were accounted for by assessing vegetation changes using the NDVI threshold for the respective year (based on Sentinel-2 data).

Maps

South Tyrol,Forest,forest mask,south tyrol

Tree_Mask_2020
Tree Mask of 2020 for the province of South Tyrol based on on the classification of spectral-temporal metrics of Sentinel-2 images between 2018-2020 as well as slope and elevation information from the EU-DEM. Changes since 2018 were accounted for by assessing vegetation changes using the NDVI threshold for the respective year (based on Sentinel-2 data).

Maps

South Tyrol,Forest,forest mask,south tyrol

Tree_Mask_2021
Tree Mask of 2021 for the province of South Tyrol based on the classification of spectral-temporal metrics of Sentinel-2 images between 2019-2021 as well as slope and elevation information from the EU-DEM. Changes since 2018 were accounted for by assessing vegetation changes using the NDVI threshold for the respective year (based on Sentinel-2 data).

Maps

Global,Forest,forest map,south tyrol

Tree_Mask_2022
Tree Mask of 2022 for the province of South Tyrol based on on the classification of spectral-temporal metrics of Sentinel-2 images between 2020-2022 as well as slope and elevation information from the EU-DEM. Changes since 2018 were accounted for by assessing vegetation changes using the NDVI threshold for the respective year (based on Sentinel-2 data).

Maps

South Tyrol,Forest,forest map,south tyrol

TVO: OSM drivable roads
OpenStreetMap drivable roads over Trentino Alto-Adige, Veneto and Osttirol (Austria).

Maps

Austria,drive,osm,tvo_tran_rds_ln_s3_osm_pp_drive

Tyrol: Roads Network
Lineares Referenzsystem der Verkehrsinfrastrukturen von Tirol - beinhaltet Hochrangiges Strassen- und Bahnnetz bis hin zu den Fuss- und Wanderwegen. Originaldatensatz wird in der Graphenintegrations-Plattform Tirol gewartet.

Maps

Austria,features,pa,roads,tirol_trans_roads_paths_ln_s5_pp

UAS-AED Coverage of South Tyrol
Coverage of the proposed UAS-AED Network of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

UAS-AED Density of South Tyrol
Density of the proposed UAS-AED Network of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

UAS-AED Influence Areas of South Tyrol
UAS-AED Stations Influence Areas (Thiessen Polygons) of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

UAS-AED Suitability of South Tyrol
UAS-AED Suitability for the proposed UAS-AED Network of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

UAS Feasibility Land Use of South Tyrol
UAS Feasibility Land Use of South Tyrol.

Maps

South Tyrol,cartography,defibrillator,drone

UAV DataCubes 20150507
HR Digital surface models, HR Land monitoring, HR Multi-spectral imaging

OpenEO

collection,UAV,Multispectral,Suface models,Soleon,Land use,Land cover

UAV DataCubes 20150821
HR Digital surface models, HR Land monitoring, HR Multi-spectral imaging

OpenEO

collection,UAV,Multispectral,Suface models,Soleon,Land use,Land cover

UAV DataCubes 20150909
HR Digital surface models, HR Land monitoring, HR Multi-spectral imaging

OpenEO

collection,UAV,Multispectral,Suface models,Soleon,Land use,Land cover

UAV_Transparent_Reflectance_20190904
High resolution - hyperspectral maps as part of the data time series produced by MONALISA project. 16 Hyperspectral bands and Orthomosaic and Digital Surface models

OpenEO

collection,UAV,Multispectral,Suface models,UAV octocopter,Land use,Land cover

update_sept_yearly_damages
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Vegetation Condition Index - 231 m 8 days
The Vegetation Condition Index (VCI) is based on the Normalized Difference Vegetation Index (NDVI) derived from MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance products. The spatial resolution is 231 m. The NDVI is masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The VCI is calculated using the formula VCIi = (NDVIi - NDVImin,i)/(NDVImax,i - NDVImin,i) * 100. The VCI expresses anomalies of the NDVI. The data is provided as 8 day measures. The time series is starting from 2001. The VCI values range from 0-100, whereas high values correspond to healthy vegetation and low values indicate stressed vegetation.

OpenEO

collection,vegetation condition index,vci,modis,ADO project,ADO,Terra,Land use,Land cover

Vegetation Health Index - 231 m 8 days
The Vegetation Health Index (VHI) is based on a combination of products extracted from vegetation signals, namely the Normalized Difference Vegetation Index (NDVI) and the land surface temperature, both derived from MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance and the land surface temperature (LST) on 8 day MOD11A2 (v006) LST products. The spatial resolution is 231 m, therefore the original 1000 m resolution of the MOD11A2 LST is downscaled to 231 m of the MOD09Q1 reflectance. Both products are masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The VHI relies on a strong inverse correlation between NDVI and land surface temperature, since increasing land temperatures are assumed to act negatively on vegetation vigour and consequently to cause stress. The data is provided as 8 day measures. The time series is starting from 2001. The VHI values range from 0-100, whereas high values correspond to healthy vegetation and low values indicate stressed vegetation.

OpenEO

collection,vegetation health index,vhi,modisi,ADO project,ADO,Terra,Land use,Land cover

Veneto: Roads Network
Rete stradale derivata da DataBase strati prioritario in scala 1:10.000 (Regione Veneto,Sezione Pianificazione Territoriale Strategica e Cartografia)

Maps

Italy,features,pa,roads,veneto_tran_rds_ln_s4_pa_pp

Water Heating
The Layer of share of final energy consumption in the residential sector for water heating. The frequency of data is annual.

Maps

Europe,consumption,energy,heating,water

WIND_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

East-West wind component,North-South wind component,Sonic Air Temperature - average,Vertical wind component,Wind Speed - average,KalternEddyCov,collection,Land use,Land cover

World Land Cover Himalayas 2015
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Asia,ecosystem,landcover

World Land Cover Himalayas 2016
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Himalayas 2017
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Himalayas 2018
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Himalayas 2019
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Himalayas 2020
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Province 2015
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Europe,ecosystem,landcover

World Land Cover Province 2016
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Province 2017
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Province 2018
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Province 2019
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Land Cover Province 2020
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Himalayas 2015
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Asia,ecosystem,landcover

World Terrestrial Ecosystems Himalayas 2016
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Himalayas 2017
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Himalayas 2018
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Himalayas 2019
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Himalayas 2020
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Province 2015
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Europe,ecosystem,landcover

World Terrestrial Ecosystems Province 2016
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Province 2017
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Province 2018
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Province 2019
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

World Terrestrial Ecosystems Province 2020
The World Terrestrial Ecosystems map of the AI4EBV project.

Maps

Global,ecosystem,landcover

WR_KalternEddyCov
Offering (timeseries group) of the Sensor Observation Service - SOS - collected within the MONALISA project belonging to a network of 31 measuring stations in the Bolzano province. The offering groups timeseries from a specific sensor installed in the station site. Timeseries are identified with the observed parameter name that are listed in the keywords list. The naming convention of the title define the offering identification name: “Offering”_”Station name and altitude”. The complete list of the timeseries provided by the web service, is available in json format in the API: http://monalisasos.eurac.edu/sos/api/v1/timeseries/ . Further information can be found on the project website: http://monalisasos.eurac.edu/sos/. To browse and/or download the timeseries data a map viewer is available: http://monalisasos.eurac.edu/sos/static/client/helgoland/index.html#/map

SOS

Incoming short wave radiation - average,Net radiation,Outgoing short wave radiation - average,KalternEddyCov,collection,Land use,Land cover

Yearly damages 05/09/2023 (v2)
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a yearly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Yearly damages 07/08/2023
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 aggregated at a monthly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Yearly damages 28/10/2023 (high confidence)
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a yearly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,Forest,south tyrol

Yearly damages 28/10/2023 (medium confidence)
Mapping of the forest changes occurring in 2020, 2021, 2022 and 2023 at a yearly scale. The outputs shown here are based on the analysis of Sentinel 2 time series. The date corresponds to the first date at which a change was detected.

Maps

South Tyrol,GeoTIFF,possible_changes_yearly_damages_nov_2023_25832,WCS