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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
2013-04-19 20:39:31	wofs_ls_202047_2013-04-19.stac-item
2013-10-08 17:50:09	wofs_ls_174056_2013-10-08.stac-item
2013-11-12 18:21:41	wofs_ls_179058_2013-11-12.stac-item
2014-02-17 19:02:52	wofs_ls_186055_2014-02-17.stac-item
2015-07-25 17:12:11	wofs_ls_167075_2015-07-25.stac-item
2016-01-13 15:54:30	wofs_ls_155065_2016-01-13.stac-item
2016-01-19 20:06:55	wofs_ls_197047_2016-01-19.stac-item
2016-09-22 16:59:51	wofs_ls_166058_2016-09-22.stac-item
2017-01-05 18:36:55	wofs_ls_181069_2017-01-05.stac-item
2017-03-10 16:54:01	wofs_ls_165060_2017-03-10.stac-item
2017-05-07 17:33:50	wofs_ls_171068_2017-05-07.stac-item
2017-12-20 16:27:55	wofs_ls_160071_2017-12-20.stac-item
2018-12-02 19:17:42	wofs_ls_189048_2018-12-02.stac-item
2019-03-06 17:53:42	wofs_ls_175055_2019-03-06.stac-item
2019-06-03 21:02:12	wofs_ls_206047_2019-06-03.stac-item
2021-01-21 17:13:43	wofs_ls_168062_2021-01-21.stac-item
2021-10-15 18:29:57	wofs_ls_181051_2021-10-15.stac-item
2022-06-17 19:34:23	wofs_ls_192044_2022-06-17.stac-item
2022-10-08 20:21:33	wofs_ls_199052_2022-10-08.stac-item
2022-12-06 16:48:06	wofs_ls_164059_2022-12-06.stac-item
2022-12-26 18:54:03	wofs_ls_184065_2022-12-26.stac-item
2023-01-21 16:57:31	wofs_ls_166052_2023-01-21.stac-item
2023-01-21 16:57:31	wofs_ls_166052_2023-01-21.stac-item
2023-03-06 19:05:25	wofs_ls_186063_2023-03-06.stac-item
2023-06-04 17:58:29	wofs_ls_176052_2023-06-04.stac-item
2023-09-02 17:01:10	wofs_ls_166062_2023-09-02.stac-item
2024-04-15 17:36:38	wofs_ls_172059_2024-04-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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