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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63 results

Time (local)	Label
2019-01-01 09:30:00	crop_mask_x168y086_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y088_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y088_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y087_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y087_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y095_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y095_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y097_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y097_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y112_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y112_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y111_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y111_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y092_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y092_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y091_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y091_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y110_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y110_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y110_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y107_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y107_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y107_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y107_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y094_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y094_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y090_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y090_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y089_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y089_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y109_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y109_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y109_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y106_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y106_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y106_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y105_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y105_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y105_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y093_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y093_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y093_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y093_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y108_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y108_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y108_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y103_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y103_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y102_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y102_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y104_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y104_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y104_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y101_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y101_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y099_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y099_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y100_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y100_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y098_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y098_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x167y096_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x168y096_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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