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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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31 results

Time (local)	Label
2013-07-22 16:08:09	wofs_ls_156079_2013-07-22.stac-item
2014-03-19 17:38:44	wofs_ls_172062_2014-03-19.stac-item
2014-04-15 15:45:38	wofs_ls_153074_2014-04-15.stac-item
2014-07-03 18:15:10	wofs_ls_178062_2014-07-03.stac-item
2015-07-22 21:27:57	wofs_ls_210050_2015-07-22.stac-item
2015-12-24 19:33:52	wofs_ls_191057_2015-12-24.stac-item
2016-03-09 18:20:14	wofs_ls_179059_2016-03-09.stac-item
2016-05-10 20:09:10	wofs_ls_197054_2016-05-10.stac-item
2016-06-27 18:23:46	wofs_ls_181037_2016-06-27.stac-item
2016-09-02 19:05:25	wofs_ls_186063_2016-09-02.stac-item
2016-09-06 18:34:44	wofs_ls_182048_2016-09-06.stac-item
2016-12-29 16:51:05	wofs_ls_164067_2016-12-29.stac-item
2017-08-04 19:05:12	wofs_ls_186063_2017-08-04.stac-item
2017-10-28 16:07:05	wofs_ls_157065_2017-10-28.stac-item
2017-11-03 20:23:28	wofs_ls_199057_2017-11-03.stac-item
2018-01-22 18:41:05	wofs_ls_183049_2018-01-22.stac-item
2020-03-17 19:26:12	wofs_ls_190054_2020-03-17.stac-item
2020-05-08 20:37:55	wofs_ls_202049_2020-05-08.stac-item
2020-05-15 19:08:26	wofs_ls_187057_2020-05-15.stac-item
2021-12-24 18:44:35	wofs_ls_183057_2021-12-24.stac-item
2022-06-20 20:58:28	wofs_ls_205052_2022-06-20.stac-item
2022-11-22 20:33:53	wofs_ls_202036_2022-11-22.stac-item
2022-12-14 17:36:45	wofs_ls_172057_2022-12-14.stac-item
2023-04-02 19:32:17	wofs_ls_191054_2023-04-02.stac-item
2023-04-10 18:04:19	wofs_ls_175081_2023-04-10.stac-item
2023-04-15 19:43:21	wofs_ls_194035_2023-04-15.stac-item
2023-08-28 16:39:24	wofs_ls_163054_2023-08-28.stac-item
2024-02-02 16:54:32	wofs_ls_165060_2024-02-02.stac-item
2024-04-18 19:43:34	wofs_ls_193052_2024-04-18.stac-item
2024-04-19 17:12:14	wofs_ls_168060_2024-04-19.stac-item
2024-05-07 20:07:31	wofs_ls_198035_2024-05-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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