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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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30 results

Time (local)	Label
2013-08-21 17:46:19	wofs_ls_174046_2013-08-21.stac-item
2014-06-08 19:58:07	wofs_ls_195057_2014-06-08.stac-item
2014-08-20 19:50:21	wofs_ls_194052_2014-08-20.stac-item
2014-10-22 17:29:09	wofs_ls_171054_2014-10-22.stac-item
2016-11-21 19:01:34	wofs_ls_186053_2016-11-21.stac-item
2017-01-27 17:55:43	wofs_ls_175059_2017-01-27.stac-item
2017-04-03 20:57:25	wofs_ls_205051_2017-04-03.stac-item
2017-05-12 19:26:09	wofs_ls_190055_2017-05-12.stac-item
2017-09-09 18:36:13	wofs_ls_182052_2017-09-09.stac-item
2018-03-19 17:53:59	wofs_ls_175056_2018-03-19.stac-item
2018-04-10 18:48:27	wofs_ls_185038_2018-04-10.stac-item
2018-04-30 18:38:17	wofs_ls_181075_2018-04-30.stac-item
2018-07-02 17:55:42	wofs_ls_174077_2018-07-02.stac-item
2018-10-15 17:42:43	wofs_ls_173058_2018-10-15.stac-item
2018-11-19 18:14:55	wofs_ls_178061_2018-11-19.stac-item
2019-06-02 18:42:26	wofs_ls_183053_2019-06-02.stac-item
2019-08-29 19:25:09	wofs_ls_191035_2019-08-29.stac-item
2020-02-18 20:33:46	wofs_ls_202037_2020-02-18.stac-item
2021-12-07 16:26:30	wofs_ls_160067_2021-12-07.stac-item
2022-01-06 18:19:14	wofs_ls_178071_2022-01-06.stac-item
2022-05-20 19:11:07	wofs_ls_188048_2022-05-20.stac-item
2022-06-16 17:27:46	wofs_ls_169083_2022-06-16.stac-item
2022-08-04 17:57:56	wofs_ls_176049_2022-08-04.stac-item
2022-08-31 17:43:07	wofs_ls_173058_2022-08-31.stac-item
2022-09-26 18:24:42	wofs_ls_179069_2022-09-26.stac-item
2022-09-30 18:48:55	wofs_ls_183067_2022-09-30.stac-item
2022-10-05 19:03:02	wofs_ls_186056_2022-10-05.stac-item
2023-05-07 19:58:26	wofs_ls_196043_2023-05-07.stac-item
2023-08-21 19:46:31	wofs_ls_194043_2023-08-21.stac-item
2024-01-22 17:09:25	wofs_ls_168051_2024-01-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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