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Example:
import openeo from openeo.rest.datacube import DataCube from openeo.rest.datacube import UDF connection = openeo.connect("openeo-dev.vito.be").authenticate_oidc() bbox = [5.0, 51.2, 5.1, 51.3] temp_ext = ["2023-01-01", "2023-01-20"] s2_bands = connection.load_collection( "SENTINEL2_L2A", spatial_extent=dict(zip(["west", "south", "east", "north"], bbox)), temporal_extent=temp_ext, bands=["SCL"] ) scl_band = s2_bands.band("SCL") s2_cloudmask = ( (scl_band == 1) ) * 1.0 vector = s2_cloudmask.raster_to_vector() vector.download("s2_cloudmask.geojson", format="geojson")
Output:
{ "type": "FeatureCollection", "crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } }, "features": [ { "type": "Feature", "properties": { "2023-01-02T00:00:00Z~band0": null, "2023-01-05T00:00:00Z~band0": null, "2023-01-07T00:00:00Z~band0": null, "2023-01-10T00:00:00Z~band0": null, "2023-01-15T00:00:00Z~band0": 0.0, "2023-01-17T00:00:00Z~band0": null }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 639420.0, 5685300.0 ], [ 639420.0, 5673960.0 ], [ 646720.0, 5673960.0 ], [ 646720.0, 5685300.0 ], [ 639420.0, 5685300.0 ] ] ] } }, { "type": "Feature", "properties": { "2023-01-02T00:00:00Z~band0": null, "2023-01-05T00:00:00Z~band0": 0.0, "2023-01-07T00:00:00Z~band0": null, "2023-01-10T00:00:00Z~band0": null, "2023-01-15T00:00:00Z~band0": null, "2023-01-17T00:00:00Z~band0": null }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 639420.0, 5685300.0 ], [ 639420.0, 5673960.0 ], [ 646720.0, 5673960.0 ], [ 646720.0, 5685300.0 ], [ 639420.0, 5685300.0 ] ] ] } }, { "type": "Feature", "properties": { "2023-01-02T00:00:00Z~band0": null, "2023-01-05T00:00:00Z~band0": null, "2023-01-07T00:00:00Z~band0": null, "2023-01-10T00:00:00Z~band0": null, "2023-01-15T00:00:00Z~band0": null, "2023-01-17T00:00:00Z~band0": 0.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 639420.0, 5685300.0 ], [ 639420.0, 5673960.0 ], [ 646720.0, 5673960.0 ], [ 646720.0, 5685300.0 ], [ 639420.0, 5685300.0 ] ] ] } }, { "type": "Feature", "properties": { "2023-01-02T00:00:00Z~band0": 0.0, "2023-01-05T00:00:00Z~band0": null, "2023-01-07T00:00:00Z~band0": null, "2023-01-10T00:00:00Z~band0": null, "2023-01-15T00:00:00Z~band0": null, "2023-01-17T00:00:00Z~band0": null }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 639420.0, 5685300.0 ], [ 639420.0, 5673960.0 ], [ 646720.0, 5673960.0 ], [ 646720.0, 5685300.0 ], [ 639420.0, 5685300.0 ] ] ] } }, { "type": "Feature", "properties": { "2023-01-02T00:00:00Z~band0": null, "2023-01-05T00:00:00Z~band0": null, "2023-01-07T00:00:00Z~band0": null, "2023-01-10T00:00:00Z~band0": 0.0, "2023-01-15T00:00:00Z~band0": null, "2023-01-17T00:00:00Z~band0": null }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 639420.0, 5685300.0 ], [ 639420.0, 5673960.0 ], [ 646720.0, 5673960.0 ], [ 646720.0, 5685300.0 ], [ 639420.0, 5685300.0 ] ] ] } }, { "type": "Feature", "properties": { "2023-01-02T00:00:00Z~band0": null, "2023-01-05T00:00:00Z~band0": null, "2023-01-07T00:00:00Z~band0": 0.0, "2023-01-10T00:00:00Z~band0": null, "2023-01-15T00:00:00Z~band0": null, "2023-01-17T00:00:00Z~band0": null }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 639420.0, 5685300.0 ], [ 639420.0, 5673960.0 ], [ 646720.0, 5673960.0 ], [ 646720.0, 5685300.0 ], [ 639420.0, 5685300.0 ] ] ] } } ] }
The features are in 32632 projection, but the FeatureCollection has CRS84 as crs.
The text was updated successfully, but these errors were encountered:
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Example:
Output:
The features are in 32632 projection, but the FeatureCollection has CRS84 as crs.
The text was updated successfully, but these errors were encountered: