Environmental Data Platform
CLC2018 is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to land cover / land use status of year 2018. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe.
collection, Copernicus, Land, Satellite Image Interpretation, 2018, Corine, Corine Land Cover, cct, No platform assigned, 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 |
WGS-84 (3035:EPSG)
Grid
mapDigital
Imagery base maps earth cover
Go to full metadatainstall.packages("openeo")
library(openeo)
# login ----
host = "https://openeo.eurac.edu"
con = connect(host = host)
login()
# check login ---
con$isConnected()
con$isLoggedIn()
describe_account()
# load collection - save result ----
p = processes()
data = p$load_collection(id = "ADO_CORINE_100m_3035",
spatial_extent = list(west = 4.00771,
east = 17.506871,
south = 42.885683,
north = 50.31948),
temporal_extent = list("STARTTIME", "ENDTIME"))
result = p$save_result(data = data, format="netCDF")
# download results ----
# either directly (suitable for smaller requests)
compute_result(result,
format = "netCDF",
output_file = "ADO_CORINE_100m_3035.nc",
con = con)
# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
title = "ADO_CORINE_100m_3035",
description = "ADO_CORINE_100m_3035",
format = "netCDF")
start_job(job = job_id)
result_list = list_results(job = job_id)
download_results(job = job_id, folder = ".")#pip install openeo
import openeo
# login ----
euracHost = "https://openeo.eurac.edu"
conn = openeo.connect(euracHost).authenticate_oidc(client_id="openEO_PKCE")
# load collection - save result ----
data = conn.load_collection("ADO_CORINE_100m_3035",spatial_extent={'west':4.00771,'east':17.506871,'south':42.885683,'north':50.31948},temporal_extent=["STARTTIME", "ENDTIME"])
result = data.save_result(format="NetCDF")
# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)
result.download("ADO_CORINE_100m_3035.nc",format="netCDF")
# or start a batch job (suitable for larger requests, e.g. when .download() timeouts)
job = result.create_job(title = "ADO_CORINE_100m_3035",description = "ADO_CORINE_100m_3035",out_format = "netCDF")
jobId = job.job_id
job.start_job()
jobResults = job.get_results()
jobResults.download_files('.')| Name | Description | Link | Date published | Category |
|---|---|---|---|---|
| openEO for ADO project | Tutorial and snippets on how to use openEO in the ADO project | Link | Sept. 15, 2021 | OpenEO |
| EDP video tutorial | Presentation of edp-platform and tutorial for data analysis and processing | Link | Sept. 15, 2021 | OpenEO |
| Official OpenEO documentation and project site | Official Documentation provided in the project web site for a deeper overview and introduction. | Link | June 10, 2021 | OpenEO |
| OpenEO doc | Documentation for OpenEO API | Link | June 9, 2021 | OpenEO |
| Eurac - OpenEO | openEO endpoint | Link | April 28, 2021 | OpenEO |
| MOOC Cubes and Clouds | Free Online Course teaching the concepts of data cubes, cloud platforms and open science in geospatial and EO. | Link | March 8, 2024 | OpenEO, STAC |