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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:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Instrument name:

Label:

Latitude range from:

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Longitude range from:

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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:

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Acquisition time range From

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27 results

Time (local)	Label
2013-08-15 18:26:09	wofs_ls_180053_2013-08-15.stac-item
2013-09-17 17:30:29	wofs_ls_171053_2013-09-17.stac-item
2013-10-08 19:21:28	wofs_ls_190037_2013-10-08.stac-item
2013-12-29 17:46:30	wofs_ls_172079_2013-12-29.stac-item
2015-02-04 15:48:11	wofs_ls_154065_2015-02-04.stac-item
2015-03-17 20:27:09	wofs_ls_201037_2015-03-17.stac-item
2015-12-25 17:00:09	wofs_ls_166059_2015-12-25.stac-item
2016-02-17 17:52:58	wofs_ls_176037_2016-02-17.stac-item
2016-05-22 20:25:59	wofs_ls_201034_2016-05-22.stac-item
2017-04-26 17:57:34	wofs_ls_174081_2017-04-26.stac-item
2017-05-02 18:50:08	wofs_ls_184058_2017-05-02.stac-item
2017-09-06 18:11:42	wofs_ls_177068_2017-09-06.stac-item
2018-01-03 19:52:25	wofs_ls_194057_2018-01-03.stac-item
2018-11-06 20:19:31	wofs_ls_199048_2018-11-06.stac-item
2020-02-04 17:15:38	wofs_ls_168067_2020-02-04.stac-item
2021-07-07 20:31:51	wofs_ls_201048_2021-07-07.stac-item
2022-01-11 20:57:42	wofs_ls_205050_2022-01-11.stac-item
2022-02-27 17:51:30	wofs_ls_174064_2022-02-27.stac-item
2022-03-19 15:52:14	wofs_ls_154075_2022-03-19.stac-item
2022-05-12 19:13:06	wofs_ls_188052_2022-05-12.stac-item
2022-07-05 18:40:21	wofs_ls_182062_2022-07-05.stac-item
2022-12-19 20:23:12	wofs_ls_199056_2022-12-19.stac-item
2023-02-08 17:43:02	wofs_ls_172073_2023-02-08.stac-item
2023-04-19 16:59:56	wofs_ls_166060_2023-04-19.stac-item
2023-06-30 18:42:21	wofs_ls_182069_2023-06-30.stac-item
2023-07-09 18:31:06	wofs_ls_181056_2023-07-09.stac-item
2023-08-15 16:28:50	wofs_ls_160074_2023-08-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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