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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:

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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

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Dataset URI:

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27 results

Time (local)	Label
2013-12-02 16:22:22	wofs_ls_159069_2013-12-02.stac-item
2014-03-10 17:40:39	wofs_ls_173051_2014-03-10.stac-item
2014-08-24 19:25:38	wofs_ls_190052_2014-08-24.stac-item
2015-02-10 20:04:29	wofs_ls_196057_2015-02-10.stac-item
2015-11-15 17:52:46	wofs_ls_174067_2015-11-15.stac-item
2015-12-07 17:19:41	wofs_ls_168077_2015-12-07.stac-item
2015-12-15 16:19:53	wofs_ls_160051_2015-12-15.stac-item
2016-12-25 18:53:54	wofs_ls_184065_2016-12-25.stac-item
2017-11-04 16:17:39	wofs_ls_158076_2017-11-04.stac-item
2021-02-10 18:31:26	wofs_ls_180071_2021-02-10.stac-item
2021-04-07 17:36:27	wofs_ls_172058_2021-04-07.stac-item
2021-06-27 19:49:10	wofs_ls_195034_2021-06-27.stac-item
2021-12-22 18:07:55	wofs_ls_177058_2021-12-22.stac-item
2022-02-05 20:04:30	wofs_ls_196056_2022-02-05.stac-item
2022-04-17 16:56:51	wofs_ls_165067_2022-04-17.stac-item
2022-04-26 17:36:05	wofs_ls_172057_2022-04-26.stac-item
2022-05-03 16:58:45	wofs_ls_165072_2022-05-03.stac-item
2022-05-17 20:22:43	wofs_ls_199057_2022-05-17.stac-item
2022-09-03 18:12:01	wofs_ls_178053_2022-09-03.stac-item
2022-09-10 18:23:00	wofs_ls_179065_2022-09-10.stac-item
2022-11-25 18:49:31	wofs_ls_183069_2022-11-25.stac-item
2023-01-17 18:22:26	wofs_ls_178079_2023-01-17.stac-item
2023-06-05 16:21:18	wofs_ls_159072_2023-06-05.stac-item
2023-06-21 18:46:24	wofs_ls_183064_2023-06-21.stac-item
2023-07-02 17:31:56	wofs_ls_172047_2023-07-02.stac-item
2024-04-20 19:32:24	wofs_ls_191055_2024-04-20.stac-item
2024-04-28 18:36:31	wofs_ls_183039_2024-04-28.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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