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:

User who indexed the dataset:

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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50 results

Time (local)	Label
2019-01-01 09:30:00	crop_mask_x171y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x174y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x175y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x172y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x173y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x174y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x173y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x172y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x175y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x176y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x178y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x177y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x178y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x177y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x176y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x179y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x181y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x181y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x180y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x179y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x180y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x182y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x183y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x182y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x183y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x185y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x184y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x184y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x185y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x186y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x186y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x187y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x187y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x189y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x188y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x190y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x190y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x189y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x188y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x192y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x191y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x193y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x192y119_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x191y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x195y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x194y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x201y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x203y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x202y118_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x204y118_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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