Environmental Data Platform

Factor landscape diversity

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Shannon eveness index provides information on area composition and richness ranging from 0 to 1. It is calculated considering 9 Corine Land Cover classes of numeric matrices using a moving window algorithm of 5 pixels side and dividing this result by its maximum.

collection, landscape diversity, Shannon eveness index, ADO project, ADO, cct, N/A, Land use, Land cover

CC BY 4.0.

Eurac Research - Institute for Earth Observation
Viale Druso, 1 / Drususallee 1, Eurac Research, Bolzano, Autonomous Province of Bolzano, 39100, Italy

WGS-84 (3035:EPSG)



Imagery base maps earth cover

Snippet code
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# login ----
host = "https://openeo.eurac.edu"
con = connect(host = host)

# check login ---

# load collection - save result ----
p = processes()
data = p$load_collection(id = "ADO_factor_landscape_diversity", 
                                             spatial_extent = list(west = 4.009019,
                                                                                 east = 17.508127,
                                                                                 south = 42.884855,
                                                                                 north = 50.318495),
                                             temporal_extent = list("STARTTIME", "ENDTIME"))
result = p$save_result(data = data, format="netCDF")

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

# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
                                   title = "ADO_factor_landscape_diversity",
                                   description = "ADO_factor_landscape_diversity",
                                   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("ADO_factor_landscape_diversity",spatial_extent={'west':4.009019,'east':17.508127,'south':42.884855,'north':50.318495},temporal_extent=["STARTTIME", "ENDTIME"])

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

# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)

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

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

jobResults = job.get_results()

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