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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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37 results

Time (local)	Label
2013-07-26 20:26:57	wofs_ls_200046_2013-07-26.stac-item
2014-07-22 15:31:11	wofs_ls_151069_2014-07-22.stac-item
2014-11-27 17:13:10	wofs_ls_167076_2014-11-27.stac-item
2014-11-28 16:17:33	wofs_ls_158076_2014-11-28.stac-item
2014-12-30 19:19:37	wofs_ls_190037_2014-12-30.stac-item
2015-02-09 17:46:21	wofs_ls_173067_2015-02-09.stac-item
2015-06-03 17:30:04	wofs_ls_171059_2015-06-03.stac-item
2015-08-10 20:20:27	wofs_ls_199051_2015-08-10.stac-item
2016-01-27 19:19:27	wofs_ls_189052_2016-01-27.stac-item
2016-06-16 17:12:05	wofs_ls_168059_2016-06-16.stac-item
2017-01-21 18:30:51	wofs_ls_181054_2017-01-21.stac-item
2017-02-08 18:23:55	wofs_ls_179068_2017-02-08.stac-item
2017-08-10 16:46:05	wofs_ls_164055_2017-08-10.stac-item
2017-10-08 16:26:12	wofs_ls_161051_2017-10-08.stac-item
2018-11-08 16:57:45	wofs_ls_165069_2018-11-08.stac-item
2019-01-09 18:48:56	wofs_ls_183069_2019-01-09.stac-item
2019-02-19 20:12:44	wofs_ls_198047_2019-02-19.stac-item
2020-02-05 18:04:29	wofs_ls_175081_2020-02-05.stac-item
2020-05-10 17:18:09	wofs_ls_168075_2020-05-10.stac-item
2020-08-12 17:20:44	wofs_ls_170049_2020-08-12.stac-item
2021-09-02 15:39:43	wofs_ls_152074_2021-09-02.stac-item
2022-02-04 16:07:03	wofs_ls_157065_2022-02-04.stac-item
2022-04-24 18:43:03	wofs_ls_182070_2022-04-24.stac-item
2022-07-29 17:43:53	wofs_ls_174044_2022-07-29.stac-item
2022-08-11 16:26:30	wofs_ls_161052_2022-08-11.stac-item
2022-09-09 20:50:19	wofs_ls_204047_2022-09-09.stac-item
2022-10-06 16:32:30	wofs_ls_161066_2022-10-06.stac-item
2022-10-13 18:05:55	wofs_ls_178037_2022-10-13.stac-item
2022-10-16 18:02:04	wofs_ls_175074_2022-10-16.stac-item
2022-11-02 17:50:30	wofs_ls_174060_2022-11-02.stac-item
2022-12-22 19:57:04	wofs_ls_196037_2022-12-22.stac-item
2023-02-07 19:21:53	wofs_ls_189057_2023-02-07.stac-item
2023-03-04 20:01:05	wofs_ls_196048_2023-03-04.stac-item
2023-09-08 18:04:38	wofs_ls_176066_2023-09-08.stac-item
2024-02-04 17:31:01	wofs_ls_171059_2024-02-04.stac-item
2024-02-13 18:55:21	wofs_ls_186038_2024-02-13.stac-item
2024-04-10 19:44:27	wofs_ls_193053_2024-04-10.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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