Environmental Data Platform

UAV DataCubes 20150909

Go to full metadata Linkset {json} Linked data {json}

HR Digital surface models, HR Land monitoring, HR Multi-spectral imaging

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

Propreitary

Eurac Research - Institute for Earth Observation
bartolomeo.ventura@eurac.edu
Viale Druso, 1 / Drususallee 1, Eurac Research, Bolzano, Autonomous Province of Bolzano, 39100, Italy


2015-09-09T00:00:00Z 2015-09-09T00:00:00Z

WGS-84 (32632:EPSG)

Grid

mapDigital

Imagery base maps earth cover

Snippet code
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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$load_collection(id = "UAV_Transparent_Reflectance_20150909", 
                                             spatial_extent = list(west = 10.584199,
                                                                                 east = 10.586158,
                                                                                 south = 46.683643,
                                                                                 north = 46.684984),
                                             temporal_extent = list("2015-09-09T00:00:00Z", "2015-09-09T00:00:00Z"))
result = p$save_result(data = data, format="netCDF")

# download results ----
# either directly (suitable for smaller requests)
compute_result(result,
                             format = "netCDF",
                             output_file = "UAV_Transparent_Reflectance_20150909.nc", 
                             con = con)

# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
                                   title = "UAV_Transparent_Reflectance_20150909",
                                   description = "UAV_Transparent_Reflectance_20150909",
                                   format = "netCDF")
start_job(job = job_id)
result_list = list_results(job = job_id)
download_results(job = job_id, folder = ".")
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#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("UAV_Transparent_Reflectance_20150909",spatial_extent={'west':10.584199,'east':10.586158,'south':46.683643,'north':46.684984},temporal_extent=["2015-09-09T00:00:00Z", "2015-09-09T00:00:00Z"])

result = data.save_result(format="NetCDF")

# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)
result.download("UAV_Transparent_Reflectance_20150909.nc",format="netCDF")

# or start a batch job (suitable for larger requests, e.g. when .download() timeouts)

job = result.create_job(title = "UAV_Transparent_Reflectance_20150909",description = "UAV_Transparent_Reflectance_20150909",out_format = "netCDF")
jobId = job.job_id
job.start_job()

jobResults = job.get_results()
jobResults.download_files('.')
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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
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