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
http://monalisasos.eurac.edu/sos/api/v1/
DESCRIBE HERE THE RESOURCE
Air Temperature - 30 minute average, Relative Air Humidity - 30 minute average, KalternEddyCov, collection, Land use, Land cover
CC-BY-4.0
Eurac Research - Institute for Earth Observation |
bartolomeo.ventura@eurac.edu |
Viale Druso, 1 / Drususallee 1, Eurac Research, Bolzano, Autonomous Province of Bolzano, 39100, Italy |
2013-01-01T00:00:00.000Z 2015-12-31T23:00:00.000Z
WGS-84 (4326:EPSG)
Grid
mapDigital
Imagery base maps earth cover
SOS TEST SNIPPET CODE
#install the MonalisR package from Github using devtools
#install.packages("remotes")
#library(remotes)
#remotes::install_github("https://github.com/mattia6690/MonalisR")
library(MonalisR)
library(tibble)
#Set the path to the SOS
SOS="http://monalisasos.eurac.edu/sos/api/v1/timeseries/"
#Explore the elements of the database
mnls_foi=getMonalisaDB(url=SOS,subset="foi")
mnls_props=getMonalisaDB(url=SOS,subset="property")
mnls_proc=getMonalisaDB(url=SOS,subset="procedure")
mnls_comb=getMonalisaDB(url=SOS,subset="combined")
#Get the spatial response
mnls_geom=getMonalisaDB(url=SOS,subset = "geom")
#Get the best possible representation of all Info at once
mnls_all=getMonalisaDB(url=SOS,subset = "all")
#Download the data and store it to an object
down<-downloadMonalisa(starturl=SOS,
datestart="2013-01-01T00:00:00.000Z",
dateend="2015-12-31T23:00:00.000Z",
foi="KalternEddyCov",
procedure="TEMPHUM_KalternEddyCov",
property="TEMPHUM")
# Use the built-in plotting capabilities for the package
plotMonalisaLeaflet()