Copernicus Surface Soil Moisture - 1km
FAIR Overall Score
Abstract
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.
Keywords
Supplemental information
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Contact for metadata
Eurac Research - Institute for Earth Observation
bartolomeo.ventura@eurac.edu
Viale Druso, 1 / Drususallee 1, Eurac Research, Bolzano, Autonomous Province of Bolzano, 39100, Italy
FAIR Overall Score: 58%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 43% | 3 of 7 | initial |
| Accessible | 57% | 4 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 67% | 4 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
Snippet code
install.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$load_collection(id = "ADO_SWI_1km_4326",
spatial_extent = list(west = 3.691964,
east = 17.15625,
south = 42.995536,
north = 50.558036),
temporal_extent = list("2015-01-01T00:00:00Z", "2020-04-19T00:00:00Z"))
result = p$save_result(data = data, format="netCDF")
# download results ----
# either directly (suitable for smaller requests)
compute_result(result,
format = "netCDF",
output_file = "ADO_SWI_1km_4326.nc",
con = con)
# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
title = "ADO_SWI_1km_4326",
description = "ADO_SWI_1km_4326",
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_SWI_1km_4326",spatial_extent={'west':3.691964,'east':17.15625,'south':42.995536,'north':50.558036},temporal_extent=["2015-01-01T00:00:00Z", "2020-04-19T00:00:00Z"])
result = data.save_result(format="NetCDF")
# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)
result.download("ADO_SWI_1km_4326.nc",format="netCDF")
# or start a batch job (suitable for larger requests, e.g. when .download() timeouts)
job = result.create_job(title = "ADO_SWI_1km_4326",description = "ADO_SWI_1km_4326",out_format = "netCDF")
jobId = job.job_id
job.start_job()
jobResults = job.get_results()
jobResults.download_files('.')Related docs
| # | Name | Description | Link | Date published | Category |
|---|---|---|---|---|---|
| 1 | openEO for ADO project | Tutorial and snippets on how to use openEO in the ADO project | Link | Sept. 15, 2021 | OpenEO |
| 2 | EDP video tutorial | Presentation of edp-platform and tutorial for data analysis and processing | Link | Sept. 15, 2021 | OpenEO |
| 3 | 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 |
| 4 | OpenEO doc | Documentation for OpenEO API | Link | June 9, 2021 | OpenEO |
| 5 | Eurac - OpenEO | openEO endpoint | Link | April 28, 2021 | OpenEO |
| 6 | 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 |