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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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26 results

Time (local)	Label
2013-11-21 19:52:41	wofs_ls_194054_2013-11-21.stac-item
2014-03-27 18:30:23	wofs_ls_180068_2014-03-27.stac-item
2014-05-31 20:45:06	wofs_ls_203051_2014-05-31.stac-item
2015-04-14 17:43:52	wofs_ls_173062_2015-04-14.stac-item
2015-12-31 19:38:02	wofs_ls_192052_2015-12-31.stac-item
2016-04-12 16:33:07	wofs_ls_161070_2016-04-12.stac-item
2018-04-03 18:47:30	wofs_ls_184051_2018-04-03.stac-item
2018-04-11 17:52:25	wofs_ls_176037_2018-04-11.stac-item
2019-01-12 19:16:38	wofs_ls_188061_2019-01-12.stac-item
2019-08-21 18:42:03	wofs_ls_183051_2019-08-21.stac-item
2020-04-11 17:43:42	wofs_ls_173061_2020-04-11.stac-item
2020-06-12 17:53:16	wofs_ls_175054_2020-06-12.stac-item
2021-03-04 16:16:31	wofs_ls_158074_2021-03-04.stac-item
2021-03-07 19:58:47	wofs_ls_195058_2021-03-07.stac-item
2021-11-06 20:00:36	wofs_ls_195056_2021-11-06.stac-item
2021-11-06 20:00:36	wofs_ls_195056_2021-11-06.stac-item
2022-01-05 17:37:34	wofs_ls_171075_2022-01-05.stac-item
2022-02-12 20:03:52	wofs_ls_197039_2022-02-12.stac-item
2022-04-20 18:12:48	wofs_ls_178056_2022-04-20.stac-item
2022-06-09 18:48:01	wofs_ls_184052_2022-06-09.stac-item
2022-07-05 17:50:07	wofs_ls_174061_2022-07-05.stac-item
2022-09-10 19:07:37	wofs_ls_187052_2022-09-10.stac-item
2022-10-24 17:09:51	wofs_ls_167067_2022-10-24.stac-item
2023-08-13 18:12:53	wofs_ls_178056_2023-08-13.stac-item
2024-03-26 17:12:03	wofs_ls_168058_2024-03-26.stac-item
2024-06-24 21:02:41	wofs_ls_206050_2024-06-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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