Search crop_mask whole collection

Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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When dataset was indexed:

Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

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Dataset URI:

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73 results

Time (local)	Label
2019-01-01 09:30:00	crop_mask_x210y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x212y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x213y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x211y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x214y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x215y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x216y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x217y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x218y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x219y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x220y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x221y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x222y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x190y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x191y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x193y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x192y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x194y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x195y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x197y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x196y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x198y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x199y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x200y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x201y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x202y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x203y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x204y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x205y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x206y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x207y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x208y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x209y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x210y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x222y074_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x210y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x212y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x211y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x213y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x215y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x214y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x216y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x218y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x217y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x219y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x220y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x221y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x222y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x189y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x190y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x186y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x191y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x193y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x192y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x194y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x195y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x197y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x196y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x198y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x199y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x201y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x200y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x202y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x203y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x204y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x205y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x206y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x208y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x207y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x210y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x209y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x222y075_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x223y075_2019--P1Y.stac-item

Return to crop_mask whole collection overview

crop_mask: Annual cropland extent map produced by Digital Earth Africa.

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