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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
2013-04-28 20:29:43	wofs_ls_201038_2013-04-28.stac-item
2013-12-08 17:22:34	wofs_ls_169065_2013-12-08.stac-item
2014-09-07 17:58:46	wofs_ls_176051_2014-09-07.stac-item
2014-09-18 17:52:59	wofs_ls_173083_2014-09-18.stac-item
2014-12-12 18:01:06	wofs_ls_176057_2014-12-12.stac-item
2015-02-21 18:15:00	wofs_ls_177077_2015-02-21.stac-item
2017-01-03 18:46:05	wofs_ls_183061_2017-01-03.stac-item
2018-02-07 17:09:38	wofs_ls_167068_2018-02-07.stac-item
2018-06-22 17:12:09	wofs_ls_168061_2018-06-22.stac-item
2019-01-26 17:42:05	wofs_ls_174041_2019-01-26.stac-item
2019-06-03 19:25:18	wofs_ls_190052_2019-06-03.stac-item
2019-11-26 17:54:58	wofs_ls_174072_2019-11-26.stac-item
2021-11-14 17:12:56	wofs_ls_167071_2021-11-14.stac-item
2022-04-22 17:10:32	wofs_ls_168055_2022-04-22.stac-item
2022-05-10 20:15:03	wofs_ls_198053_2022-05-10.stac-item
2022-08-28 17:11:01	wofs_ls_168055_2022-08-28.stac-item
2022-10-10 20:58:24	wofs_ls_205051_2022-10-10.stac-item
2022-10-18 20:11:46	wofs_ls_197058_2022-10-18.stac-item
2022-11-26 16:15:24	wofs_ls_158070_2022-11-26.stac-item
2022-12-05 16:58:23	wofs_ls_165069_2022-12-05.stac-item
2023-05-09 17:30:22	wofs_ls_170074_2023-05-09.stac-item
2023-06-30 16:14:58	wofs_ls_158071_2023-06-30.stac-item
2023-09-07 18:48:18	wofs_ls_185036_2023-09-07.stac-item
2023-09-12 18:26:35	wofs_ls_180059_2023-09-12.stac-item
2024-04-08 18:23:08	wofs_ls_179066_2024-04-08.stac-item
2024-04-22 16:50:44	wofs_ls_165052_2024-04-22.stac-item
2024-05-22 20:22:13	wofs_ls_199056_2024-05-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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