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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

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Time when dataset was created (processed) From

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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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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
2014-04-05 18:23:19	wofs_ls_179066_2014-04-05.stac-item
2014-10-01 15:38:50	wofs_ls_152072_2014-10-01.stac-item
2015-02-12 18:18:24	wofs_ls_178070_2015-02-12.stac-item
2015-07-31 19:44:07	wofs_ls_193053_2015-07-31.stac-item
2015-08-02 17:53:40	wofs_ls_175055_2015-08-02.stac-item
2016-02-12 20:57:26	wofs_ls_205050_2016-02-12.stac-item
2016-09-20 20:28:00	wofs_ls_200053_2016-09-20.stac-item
2016-12-05 19:16:42	wofs_ls_188060_2016-12-05.stac-item
2016-12-18 17:09:38	wofs_ls_167067_2016-12-18.stac-item
2017-12-07 18:32:04	wofs_ls_181057_2017-12-07.stac-item
2018-05-19 17:21:43	wofs_ls_170054_2018-05-19.stac-item
2018-06-06 17:07:11	wofs_ls_168049_2018-06-06.stac-item
2019-02-09 16:28:41	wofs_ls_160074_2019-02-09.stac-item
2020-04-01 20:13:42	wofs_ls_199034_2020-04-01.stac-item
2020-04-19 20:10:23	wofs_ls_197057_2020-04-19.stac-item
2021-03-06 17:37:02	wofs_ls_172059_2021-03-06.stac-item
2022-01-28 16:45:24	wofs_ls_164053_2022-01-28.stac-item
2022-04-26 20:48:16	wofs_ls_204043_2022-04-26.stac-item
2022-05-15 17:27:43	wofs_ls_169083_2022-05-15.stac-item
2022-05-30 19:02:00	wofs_ls_186055_2022-05-30.stac-item
2022-09-05 17:13:44	wofs_ls_168061_2022-09-05.stac-item
2022-09-26 18:27:06	wofs_ls_179075_2022-09-26.stac-item
2022-11-02 20:17:24	wofs_ls_198057_2022-11-02.stac-item
2022-12-04 17:00:03	wofs_ls_166058_2022-12-04.stac-item
2023-03-01 16:24:23	wofs_ls_159078_2023-03-01.stac-item
2023-04-29 19:16:16	wofs_ls_188061_2023-04-29.stac-item
2023-05-05 16:16:12	wofs_ls_158074_2023-05-05.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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