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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

Acquisition time range to (exclusive)

Dataset URI:

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26 results

Time (local)	Label
2013-04-28 17:21:31	wofs_ls_169062_2013-04-28.stac-item
2013-09-13 17:55:38	wofs_ls_175054_2013-09-13.stac-item
2013-10-21 20:34:33	wofs_ls_201050_2013-10-21.stac-item
2014-05-21 20:01:09	wofs_ls_197034_2014-05-21.stac-item
2015-03-07 21:33:50	wofs_ls_211049_2015-03-07.stac-item
2015-04-21 19:26:07	wofs_ls_190055_2015-04-21.stac-item
2015-11-06 16:22:27	wofs_ls_159073_2015-11-06.stac-item
2016-10-12 21:28:41	wofs_ls_210050_2016-10-12.stac-item
2017-08-03 18:21:56	wofs_ls_179063_2017-08-03.stac-item
2018-05-15 21:01:04	wofs_ls_206046_2018-05-15.stac-item
2019-02-19 20:16:19	wofs_ls_198056_2019-02-19.stac-item
2019-03-23 18:33:18	wofs_ls_182046_2019-03-23.stac-item
2019-11-15 18:07:09	wofs_ls_177056_2019-11-15.stac-item
2019-12-23 19:10:28	wofs_ls_187060_2019-12-23.stac-item
2020-07-25 19:15:54	wofs_ls_188059_2020-07-25.stac-item
2021-12-17 17:02:17	wofs_ls_166064_2021-12-17.stac-item
2022-01-02 18:31:37	wofs_ls_182040_2022-01-02.stac-item
2022-03-05 19:37:07	wofs_ls_192050_2022-03-05.stac-item
2022-07-15 20:01:39	wofs_ls_196050_2022-07-15.stac-item
2022-09-06 17:14:24	wofs_ls_167079_2022-09-06.stac-item
2022-09-22 18:42:38	wofs_ls_183052_2022-09-22.stac-item
2023-04-17 17:17:06	wofs_ls_168072_2023-04-17.stac-item
2023-05-30 16:53:33	wofs_ls_165060_2023-05-30.stac-item
2023-07-21 18:08:30	wofs_ls_177061_2023-07-21.stac-item
2024-02-19 19:14:09	wofs_ls_188054_2024-02-19.stac-item
2024-04-11 19:36:18	wofs_ls_192049_2024-04-11.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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