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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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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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35 results

Time (local)	Label
2013-06-11 17:50:04	wofs_ls_173071_2013-06-11.stac-item
2014-03-22 18:06:48	wofs_ls_177055_2014-03-22.stac-item
2014-04-05 19:57:02	wofs_ls_195053_2014-04-05.stac-item
2014-11-02 20:21:59	wofs_ls_200038_2014-11-02.stac-item
2014-11-08 18:20:00	wofs_ls_178073_2014-11-08.stac-item
2015-01-28 17:20:54	wofs_ls_169065_2015-01-28.stac-item
2015-04-21 21:01:49	wofs_ls_206047_2015-04-21.stac-item
2015-12-05 17:24:05	wofs_ls_170057_2015-12-05.stac-item
2016-03-10 17:32:11	wofs_ls_170078_2016-03-10.stac-item
2016-08-05 17:06:02	wofs_ls_166074_2016-08-05.stac-item
2017-01-07 19:58:39	wofs_ls_195057_2017-01-07.stac-item
2017-03-13 15:51:59	wofs_ls_154075_2017-03-13.stac-item
2017-05-11 17:11:34	wofs_ls_167074_2017-05-11.stac-item
2017-12-28 17:16:32	wofs_ls_168069_2017-12-28.stac-item
2018-03-18 17:09:08	wofs_ls_168052_2018-03-18.stac-item
2018-07-18 17:57:26	wofs_ls_174081_2018-07-18.stac-item
2019-03-13 16:29:43	wofs_ls_160077_2019-03-13.stac-item
2019-08-29 17:59:01	wofs_ls_175067_2019-08-29.stac-item
2019-09-27 17:27:04	wofs_ls_170064_2019-09-27.stac-item
2019-12-18 17:10:40	wofs_ls_168054_2019-12-18.stac-item
2020-02-20 17:20:22	wofs_ls_168079_2020-02-20.stac-item
2020-09-08 18:48:05	wofs_ls_183066_2020-09-08.stac-item
2021-11-17 17:37:26	wofs_ls_172059_2021-11-17.stac-item
2022-03-07 21:03:38	wofs_ls_206050_2022-03-07.stac-item
2022-05-26 16:55:56	wofs_ls_166050_2022-05-26.stac-item
2022-06-05 16:52:06	wofs_ls_164070_2022-06-05.stac-item
2022-07-02 17:16:02	wofs_ls_169053_2022-07-02.stac-item
2022-07-16 19:10:26	wofs_ls_187061_2022-07-16.stac-item
2022-10-25 21:02:06	wofs_ls_206045_2022-10-25.stac-item
2022-11-06 20:33:59	wofs_ls_202036_2022-11-06.stac-item
2023-01-06 17:50:07	wofs_ls_173075_2023-01-06.stac-item
2023-04-11 17:03:06	wofs_ls_166067_2023-04-11.stac-item
2023-06-15 17:39:01	wofs_ls_173050_2023-06-15.stac-item
2023-08-20 15:53:50	wofs_ls_155064_2023-08-20.stac-item
2024-04-21 17:45:36	wofs_ls_174050_2024-04-21.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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