Windowed aggregate= — a monthly NDVI series¶
download(aggregate=AggregationConfig(freq='1MS', op='mean')) loops one render per month, writing one GeoTIFF per window named {key}_{freq}_{YYYYMMDD}.tif (the same shape as the ECMWF / CMEMS backends).
Credentials guard¶
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import os
from pathlib import Path
def has_sh_credentials() -> bool:
"""Whether Sentinel Hub OAuth client-credentials are available."""
return bool(
os.environ.get("SENTINELHUB_CLIENT_ID")
and os.environ.get("SENTINELHUB_CLIENT_SECRET")
)
def run_or_skip(facade, **download_kwargs):
"""Run the live download when credentials exist, else print a skip note.
Keeps the notebook executing top-to-bottom with no errors whether or not
Sentinel Hub credentials are configured (so the docs build never needs
secrets). Set SENTINELHUB_CLIENT_ID / SENTINELHUB_CLIENT_SECRET to run the cell for real.
"""
if not has_sh_credentials():
print(
"No Sentinel Hub credentials found - skipping the live download.\n"
"Mint an OAuth client_credentials pair in the CDSE Dashboard and set\n"
"SENTINELHUB_CLIENT_ID / SENTINELHUB_CLIENT_SECRET (see the Authentication page)."
)
return []
results = facade.download(**download_kwargs)
for item in results:
print(item)
return results
import os
from pathlib import Path
def has_sh_credentials() -> bool:
"""Whether Sentinel Hub OAuth client-credentials are available."""
return bool(
os.environ.get("SENTINELHUB_CLIENT_ID")
and os.environ.get("SENTINELHUB_CLIENT_SECRET")
)
def run_or_skip(facade, **download_kwargs):
"""Run the live download when credentials exist, else print a skip note.
Keeps the notebook executing top-to-bottom with no errors whether or not
Sentinel Hub credentials are configured (so the docs build never needs
secrets). Set SENTINELHUB_CLIENT_ID / SENTINELHUB_CLIENT_SECRET to run the cell for real.
"""
if not has_sh_credentials():
print(
"No Sentinel Hub credentials found - skipping the live download.\n"
"Mint an OAuth client_credentials pair in the CDSE Dashboard and set\n"
"SENTINELHUB_CLIENT_ID / SENTINELHUB_CLIENT_SECRET (see the Authentication page)."
)
return []
results = facade.download(**download_kwargs)
for item in results:
print(item)
return results
A 3-month NDVI series¶
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from earthlens import EarthLens
from earthlens.aggregate import AggregationConfig
facade = EarthLens(
data_source='sentinel-hub',
dataset='sentinel-2-l2a-ndvi',
variables=[],
start='2020-04-01',
end='2020-06-30',
aoi=[14.24, 40.80, 14.27, 40.83],
path='data/sh-monthly',
resolution=20,
)
paths = run_or_skip(facade, aggregate=AggregationConfig(freq='1MS', op='mean'))
paths
from earthlens import EarthLens
from earthlens.aggregate import AggregationConfig
facade = EarthLens(
data_source='sentinel-hub',
dataset='sentinel-2-l2a-ndvi',
variables=[],
start='2020-04-01',
end='2020-06-30',
aoi=[14.24, 40.80, 14.27, 40.83],
path='data/sh-monthly',
resolution=20,
)
paths = run_or_skip(facade, aggregate=AggregationConfig(freq='1MS', op='mean'))
paths