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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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27 results

Time (local)	Label
2013-12-26 17:15:37	wofs_ls_167079_2013-12-26.stac-item
2014-01-25 19:00:10	wofs_ls_185063_2014-01-25.stac-item
2014-06-13 15:26:01	wofs_ls_150072_2014-06-13.stac-item
2015-06-11 18:18:49	wofs_ls_179057_2015-06-11.stac-item
2015-08-04 17:40:31	wofs_ls_173053_2015-08-04.stac-item
2015-11-23 18:38:15	wofs_ls_182057_2015-11-23.stac-item
2016-05-10 18:30:41	wofs_ls_181055_2016-05-10.stac-item
2016-12-11 17:04:42	wofs_ls_166070_2016-12-11.stac-item
2018-01-28 19:41:14	wofs_ls_193045_2018-01-28.stac-item
2018-03-11 20:22:46	wofs_ls_199057_2018-03-11.stac-item
2018-11-24 20:10:21	wofs_ls_197056_2018-11-24.stac-item
2019-09-09 19:13:50	wofs_ls_188053_2019-09-09.stac-item
2019-10-21 16:34:54	wofs_ls_162057_2019-10-21.stac-item
2020-06-06 20:09:10	wofs_ls_197054_2020-06-06.stac-item
2021-11-02 18:19:35	wofs_ls_179056_2021-11-02.stac-item
2021-12-05 18:13:47	wofs_ls_178057_2021-12-05.stac-item
2021-12-06 18:08:22	wofs_ls_177059_2021-12-06.stac-item
2021-12-22 17:18:27	wofs_ls_169058_2021-12-22.stac-item
2022-04-09 16:54:03	wofs_ls_165060_2022-04-09.stac-item
2022-07-01 16:39:10	wofs_ls_162069_2022-07-01.stac-item
2022-08-02 18:12:40	wofs_ls_178055_2022-08-02.stac-item
2022-12-24 18:55:39	wofs_ls_186038_2022-12-24.stac-item
2023-02-08 19:16:20	wofs_ls_188059_2023-02-08.stac-item
2023-03-23 19:45:46	wofs_ls_193056_2023-03-23.stac-item
2023-05-25 17:22:37	wofs_ls_170055_2023-05-25.stac-item
2023-08-10 20:57:43	wofs_ls_205051_2023-08-10.stac-item
2024-05-04 19:39:50	wofs_ls_193043_2024-05-04.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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