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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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32 results

Time (local)	Label
2013-08-10 16:37:07	wofs_ls_161074_2013-08-10.stac-item
2015-06-09 18:30:46	wofs_ls_181056_2015-06-09.stac-item
2015-08-16 21:21:30	wofs_ls_209049_2015-08-16.stac-item
2015-09-22 18:27:43	wofs_ls_180062_2015-09-22.stac-item
2016-01-07 19:45:45	wofs_ls_193056_2016-01-07.stac-item
2016-04-30 17:58:50	wofs_ls_175068_2016-04-30.stac-item
2016-07-25 20:32:20	wofs_ls_201049_2016-07-25.stac-item
2016-11-06 18:14:43	wofs_ls_177075_2016-11-06.stac-item
2017-05-20 16:56:43	wofs_ls_166052_2017-05-20.stac-item
2017-09-24 16:22:32	wofs_ls_159073_2017-09-24.stac-item
2018-08-09 20:22:21	wofs_ls_200041_2018-08-09.stac-item
2018-12-07 19:39:24	wofs_ls_192056_2018-12-07.stac-item
2019-05-28 16:47:21	wofs_ls_164059_2019-05-28.stac-item
2019-10-05 18:12:57	wofs_ls_178055_2019-10-05.stac-item
2019-11-15 19:38:52	wofs_ls_193038_2019-11-15.stac-item
2020-08-16 18:40:31	wofs_ls_182063_2020-08-16.stac-item
2020-09-16 17:59:53	wofs_ls_175069_2020-09-16.stac-item
2020-11-24 16:34:26	wofs_ls_162056_2020-11-24.stac-item
2021-05-26 19:51:22	wofs_ls_195040_2021-05-26.stac-item
2021-12-08 18:49:02	wofs_ls_183068_2021-12-08.stac-item
2022-05-30 19:45:49	wofs_ls_194042_2022-05-30.stac-item
2022-06-16 17:15:00	wofs_ls_169051_2022-06-16.stac-item
2022-06-24 18:59:16	wofs_ls_185063_2022-06-24.stac-item
2022-08-02 21:27:39	wofs_ls_210048_2022-08-02.stac-item
2022-08-05 17:56:06	wofs_ls_175059_2022-08-05.stac-item
2022-09-01 16:51:05	wofs_ls_164067_2022-09-01.stac-item
2022-11-07 18:49:55	wofs_ls_185039_2022-11-07.stac-item
2022-12-24 19:43:30	wofs_ls_194034_2022-12-24.stac-item
2023-02-05 17:48:58	wofs_ls_175041_2023-02-05.stac-item
2023-06-01 16:40:23	wofs_ls_163058_2023-06-01.stac-item
2023-06-08 18:24:21	wofs_ls_180055_2023-06-08.stac-item
2023-09-07 17:25:45	wofs_ls_169077_2023-09-07.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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