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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

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Dataset URI:

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27 results

Time (local)	Label
2014-01-10 18:12:39	wofs_ls_176083_2014-01-10.stac-item
2014-11-04 17:01:26	wofs_ls_166062_2014-11-04.stac-item
2015-07-14 15:48:35	wofs_ls_154067_2015-07-14.stac-item
2016-09-06 18:39:55	wofs_ls_182061_2016-09-06.stac-item
2016-11-08 18:01:33	wofs_ls_175073_2016-11-08.stac-item
2016-12-16 18:58:54	wofs_ls_185062_2016-12-16.stac-item
2017-05-30 19:13:59	wofs_ls_188055_2017-05-30.stac-item
2017-07-12 18:54:28	wofs_ls_185052_2017-07-12.stac-item
2017-12-16 20:00:49	wofs_ls_196047_2017-12-16.stac-item
2020-04-26 16:59:08	wofs_ls_166058_2020-04-26.stac-item
2020-04-26 16:59:08	wofs_ls_166058_2020-04-26.stac-item
2021-03-09 16:32:13	wofs_ls_161067_2021-03-09.stac-item
2021-10-02 17:22:19	wofs_ls_170052_2021-10-02.stac-item
2021-11-12 17:25:19	wofs_ls_170055_2021-11-12.stac-item
2022-03-01 17:40:19	wofs_ls_172067_2022-03-01.stac-item
2022-03-17 19:56:34	wofs_ls_196037_2022-03-17.stac-item
2022-05-02 18:32:20	wofs_ls_182043_2022-05-02.stac-item
2022-06-21 20:48:16	wofs_ls_204043_2022-06-21.stac-item
2022-06-27 18:37:12	wofs_ls_182055_2022-06-27.stac-item
2022-07-27 17:12:47	wofs_ls_168060_2022-07-27.stac-item
2022-08-26 20:38:45	wofs_ls_202049_2022-08-26.stac-item
2023-01-29 17:59:28	wofs_ls_174083_2023-01-29.stac-item
2023-03-15 19:36:53	wofs_ls_193034_2023-03-15.stac-item
2023-03-30 20:40:19	wofs_ls_202054_2023-03-30.stac-item
2023-06-02 18:06:29	wofs_ls_178041_2023-06-02.stac-item
2023-07-24 20:13:34	wofs_ls_198049_2023-07-24.stac-item
2024-03-10 17:55:42	wofs_ls_176044_2024-03-10.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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