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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

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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):

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The ground sample distance from:

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Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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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
2015-05-10 18:21:49	wofs_ls_179065_2015-05-10.stac-item
2015-06-09 18:34:45	wofs_ls_181066_2015-06-09.stac-item
2015-08-13 20:48:11	wofs_ls_204043_2015-08-13.stac-item
2015-10-17 19:50:54	wofs_ls_195038_2015-10-17.stac-item
2016-05-14 18:08:44	wofs_ls_177062_2016-05-14.stac-item
2016-10-20 19:03:34	wofs_ls_186058_2016-10-20.stac-item
2017-06-20 19:29:29	wofs_ls_191047_2017-06-20.stac-item
2017-10-21 17:36:12	wofs_ls_172056_2017-10-21.stac-item
2018-07-24 17:08:01	wofs_ls_168050_2018-07-24.stac-item
2018-08-08 19:41:28	wofs_ls_193047_2018-08-08.stac-item
2019-12-05 20:54:59	wofs_ls_205043_2019-12-05.stac-item
2020-09-30 18:11:30	wofs_ls_177067_2020-09-30.stac-item
2022-05-02 18:38:42	wofs_ls_182059_2022-05-02.stac-item
2022-06-02 17:10:31	wofs_ls_167071_2022-06-02.stac-item
2022-07-29 18:43:43	wofs_ls_182071_2022-07-29.stac-item
2022-08-06 18:36:59	wofs_ls_182053_2022-08-06.stac-item
2022-09-09 20:47:31	wofs_ls_204040_2022-09-09.stac-item
2022-09-14 17:57:31	wofs_ls_175063_2022-09-14.stac-item
2022-11-17 16:21:13	wofs_ls_159069_2022-11-17.stac-item
2022-12-18 17:10:25	wofs_ls_168053_2022-12-18.stac-item
2023-01-25 18:14:10	wofs_ls_178058_2023-01-25.stac-item
2023-02-05 19:33:50	wofs_ls_191056_2023-02-05.stac-item
2023-02-22 18:30:26	wofs_ls_182037_2023-02-22.stac-item
2023-05-03 17:14:37	wofs_ls_168066_2023-05-03.stac-item
2024-02-08 16:23:03	wofs_ls_159074_2024-02-08.stac-item
2024-03-07 20:39:47	wofs_ls_203037_2024-03-07.stac-item
2024-06-06 18:09:57	wofs_ls_176081_2024-06-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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