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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

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Dataset URI:

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28 results

Time (local)	Label
2013-07-23 16:42:39	wofs_ls_163057_2013-07-23.stac-item
2014-04-04 17:36:05	wofs_ls_172056_2014-04-04.stac-item
2014-04-05 19:49:51	wofs_ls_195035_2014-04-05.stac-item
2015-05-24 18:32:11	wofs_ls_181060_2015-05-24.stac-item
2016-08-31 19:16:10	wofs_ls_188059_2016-08-31.stac-item
2017-05-27 18:46:38	wofs_ls_183064_2017-05-27.stac-item
2017-09-17 19:26:05	wofs_ls_190053_2017-09-17.stac-item
2017-09-30 17:16:48	wofs_ls_169054_2017-09-30.stac-item
2018-06-29 18:57:17	wofs_ls_185061_2018-06-29.stac-item
2019-12-05 17:46:47	wofs_ls_173067_2019-12-05.stac-item
2020-04-04 17:43:33	wofs_ls_172076_2020-04-04.stac-item
2021-01-22 17:58:11	wofs_ls_175065_2021-01-22.stac-item
2021-03-21 18:25:22	wofs_ls_181041_2021-03-21.stac-item
2021-04-02 18:58:25	wofs_ls_185062_2021-04-02.stac-item
2021-12-24 17:14:28	wofs_ls_167079_2021-12-24.stac-item
2022-05-23 19:44:24	wofs_ls_193054_2022-05-23.stac-item
2022-05-29 17:30:02	wofs_ls_171058_2022-05-29.stac-item
2022-06-08 18:56:21	wofs_ls_185056_2022-06-08.stac-item
2022-08-28 18:53:30	wofs_ls_184064_2022-08-28.stac-item
2022-11-09 18:45:08	wofs_ls_183058_2022-11-09.stac-item
2023-01-03 17:13:14	wofs_ls_168060_2023-01-03.stac-item
2023-01-18 18:13:07	wofs_ls_177071_2023-01-18.stac-item
2023-02-05 18:00:08	wofs_ls_175069_2023-02-05.stac-item
2023-09-10 18:37:43	wofs_ls_182056_2023-09-10.stac-item
2023-09-18 20:15:29	wofs_ls_198053_2023-09-18.stac-item
2024-03-17 17:26:42	wofs_ls_169079_2024-03-17.stac-item
2024-05-25 15:13:49	wofs_ls_148074_2024-05-25.stac-item
2024-05-27 20:39:30	wofs_ls_202053_2024-05-27.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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