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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:

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:

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Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-09-11 19:47:42	wofs_ls_193056_2013-09-11.stac-item
2014-03-27 16:47:55	wofs_ls_164059_2014-03-27.stac-item
2014-04-03 18:35:43	wofs_ls_181066_2014-04-03.stac-item
2014-08-20 18:11:04	wofs_ls_178051_2014-08-20.stac-item
2015-01-05 18:51:43	wofs_ls_184060_2015-01-05.stac-item
2015-05-13 17:12:36	wofs_ls_168062_2015-05-13.stac-item
2016-11-08 19:26:06	wofs_ls_191037_2016-11-08.stac-item
2017-04-11 16:56:31	wofs_ls_165067_2017-04-11.stac-item
2018-10-02 16:33:51	wofs_ls_162056_2018-10-02.stac-item
2018-12-28 19:58:43	wofs_ls_195058_2018-12-28.stac-item
2019-08-27 19:43:53	wofs_ls_193051_2019-08-27.stac-item
2019-11-10 17:51:49	wofs_ls_174064_2019-11-10.stac-item
2020-02-14 21:03:41	wofs_ls_206050_2020-02-14.stac-item
2020-03-27 18:29:53	wofs_ls_180068_2020-03-27.stac-item
2020-11-19 18:00:44	wofs_ls_175071_2020-11-19.stac-item
2021-12-24 18:47:46	wofs_ls_183065_2021-12-24.stac-item
2022-02-16 17:27:24	wofs_ls_169081_2022-02-16.stac-item
2022-03-21 19:30:36	wofs_ls_192034_2022-03-21.stac-item
2022-04-17 20:09:02	wofs_ls_197053_2022-04-17.stac-item
2022-05-04 20:04:52	wofs_ls_196058_2022-05-04.stac-item
2022-11-28 17:43:31	wofs_ls_172074_2022-11-28.stac-item
2022-12-07 17:26:11	wofs_ls_171046_2022-12-07.stac-item
2023-02-24 16:53:07	wofs_ls_164072_2023-02-24.stac-item
2023-07-22 19:36:43	wofs_ls_192050_2023-07-22.stac-item
2023-08-12 20:44:59	wofs_ls_203050_2023-08-12.stac-item
2024-01-24 16:17:48	wofs_ls_158077_2024-01-24.stac-item
2024-05-13 18:03:24	wofs_ls_176065_2024-05-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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