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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:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

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

Acquisition time range to (exclusive)

Dataset URI:

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27 results

Time (local)	Label
2013-10-07 18:44:11	wofs_ls_183052_2013-10-07.stac-item
2013-12-04 17:49:41	wofs_ls_173071_2013-12-04.stac-item
2014-10-10 20:15:24	wofs_ls_199037_2014-10-10.stac-item
2015-12-05 17:19:18	wofs_ls_170045_2015-12-05.stac-item
2016-06-29 16:40:55	wofs_ls_163058_2016-06-29.stac-item
2016-09-22 18:39:08	wofs_ls_182059_2016-09-22.stac-item
2017-10-02 17:13:37	wofs_ls_167077_2017-10-02.stac-item
2017-10-13 18:33:13	wofs_ls_180075_2017-10-13.stac-item
2018-02-05 18:58:06	wofs_ls_185061_2018-02-05.stac-item
2019-03-07 17:03:39	wofs_ls_166069_2019-03-07.stac-item
2019-04-22 20:28:22	wofs_ls_200056_2019-04-22.stac-item
2019-10-08 17:08:10	wofs_ls_167063_2019-10-08.stac-item
2020-02-06 18:40:09	wofs_ls_182062_2020-02-06.stac-item
2020-09-18 20:57:20	wofs_ls_205049_2020-09-18.stac-item
2021-07-29 18:20:24	wofs_ls_179059_2021-07-29.stac-item
2021-09-17 18:09:53	wofs_ls_177063_2021-09-17.stac-item
2021-12-26 16:54:32	wofs_ls_165060_2021-12-26.stac-item
2022-01-13 17:25:58	wofs_ls_171046_2022-01-13.stac-item
2022-07-29 16:56:52	wofs_ls_166051_2022-07-29.stac-item
2022-08-15 16:55:34	wofs_ls_165062_2022-08-15.stac-item
2022-09-02 17:35:09	wofs_ls_171069_2022-09-02.stac-item
2022-11-25 17:57:23	wofs_ls_175062_2022-11-25.stac-item
2022-12-06 19:16:08	wofs_ls_188058_2022-12-06.stac-item
2023-02-25 19:50:08	wofs_ls_195036_2023-02-25.stac-item
2024-02-16 17:07:37	wofs_ls_167062_2024-02-16.stac-item
2024-03-13 18:31:22	wofs_ls_181056_2024-03-13.stac-item
2024-05-18 20:40:35	wofs_ls_203040_2024-05-18.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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