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:

Sun elevation to (exclusive):

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

Acquisition time range to (exclusive)

Dataset URI:

Add field

66 results

Time (local)	Label
2019-01-01 09:30:00	crop_mask_x208y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x208y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x207y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x209y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x211y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x211y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x210y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x209y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x210y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x212y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x213y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x213y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x212y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x215y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x214y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x215y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x214y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x216y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x216y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x194y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x194y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x195y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x197y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x196y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x196y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x197y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x195y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x199y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x198y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x198y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x199y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x202y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x201y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x202y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x200y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x200y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x201y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x204y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x204y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x203y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x203y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x206y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x205y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x206y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x205y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x208y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x208y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x209y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x207y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x207y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x225y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x225y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x224y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x228y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x228y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x227y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x226y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x227y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x226y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x236y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x238y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x237y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x229y049_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x239y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x230y050_2019--P1Y.stac-item
2019-01-01 09:30:00	crop_mask_x229y050_2019--P1Y.stac-item

Return to crop_mask whole collection overview

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

Products

All years