Environmental Data Platform

LIA Sentinel-1 Track095 detail

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Sentinel-1A Local Incidence Angle. This LIA layer belongs to the respective Backscatter Sentinel-1 collection. It contains only one time step, since the LIA is stable over time.

Land use, Land cover, collection, S-1, Local Incidence Angle, LIA, Sentinel-1A

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


2014-10-24T00:00:00Z 2014-10-24T00:00:00Z

WGS-84 (3035:EPSG)

Grid

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$load_collection(id = "LIA_Sentinel1_Track095_Indexed", 
                                             spatial_extent = list(west = 10.349075,
                                                                                 east = 15.791756,
                                                                                 south = 45.06294,
                                                                                 north = 48.488906),
                                             temporal_extent = list("2014-10-24T00:00:00Z", "2014-10-24T00:00:00Z"))
result = p$save_result(data = data, format="netCDF")

# download results ----
# either directly (suitable for smaller requests)
compute_result(result,
                             format = "netCDF",
                             output_file = "LIA_Sentinel1_Track095_Indexed.nc", 
                             con = eurac)

# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
                                   title = "LIA_Sentinel1_Track095_Indexed",
                                   description = "LIA_Sentinel1_Track095_Indexed",
                                   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"
eurac = openeo.connect(euracHost).authenticate_oidc(client_id="openEO_PKCE")

# load collection - save result ----
data = eurac.load_collection("LIA_Sentinel1_Track095_Indexed",spatial_extent={'west':10.349075,'east':15.791756,'south':45.06294,'north':48.488906},temporal_extent=["2014-10-24T00:00:00Z", "2014-10-24T00:00:00Z"])

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

# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)
data.download("LIA_Sentinel1_Track095_Indexed.nc",format="netCDF")

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

job = result.create_job(title = "LIA_Sentinel1_Track095_Indexed",description = "LIA_Sentinel1_Track095_Indexed",out_format = "netCDF")
jobId = job.job_id
job.start_job()

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