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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
2013-06-15 18:59:01	wofs_ls_185058_2013-06-15.stac-item
2014-03-20 19:58:29	wofs_ls_195056_2014-03-20.stac-item
2014-03-24 19:25:18	wofs_ls_191035_2014-03-24.stac-item
2014-09-06 20:32:28	wofs_ls_201049_2014-09-06.stac-item
2015-01-29 16:20:30	wofs_ls_160053_2015-01-29.stac-item
2015-09-13 18:29:27	wofs_ls_181051_2015-09-13.stac-item
2016-08-28 18:43:39	wofs_ls_183055_2016-08-28.stac-item
2016-11-21 17:29:28	wofs_ls_170070_2016-11-21.stac-item
2016-11-26 17:46:01	wofs_ls_173065_2016-11-26.stac-item
2017-12-12 20:24:20	wofs_ls_200044_2017-12-12.stac-item
2018-03-15 18:11:57	wofs_ls_179039_2018-03-15.stac-item
2018-09-11 17:57:38	wofs_ls_175065_2018-09-11.stac-item
2019-04-08 18:39:12	wofs_ls_182061_2019-04-08.stac-item
2020-07-29 20:26:30	wofs_ls_200050_2020-07-29.stac-item
2020-12-13 17:06:33	wofs_ls_167059_2020-12-13.stac-item
2021-10-17 16:41:30	wofs_ls_163058_2021-10-17.stac-item
2021-11-15 16:13:26	wofs_ls_158069_2021-11-15.stac-item
2021-11-19 20:18:00	wofs_ls_200034_2021-11-19.stac-item
2021-11-30 17:08:33	wofs_ls_167064_2021-11-30.stac-item
2022-01-21 19:11:16	wofs_ls_187062_2022-01-21.stac-item
2022-11-12 17:42:21	wofs_ls_172071_2022-11-12.stac-item
2022-12-03 17:56:51	wofs_ls_175061_2022-12-03.stac-item
2022-12-31 20:46:43	wofs_ls_203053_2022-12-31.stac-item
2023-08-26 18:34:37	wofs_ls_181064_2023-08-26.stac-item
2024-03-20 17:02:10	wofs_ls_166065_2024-03-20.stac-item
2024-04-26 19:45:19	wofs_ls_193056_2024-04-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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