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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
2013-05-14 17:17:20	wofs_ls_169051_2013-05-14.stac-item
2013-10-23 18:44:53	wofs_ls_183054_2013-10-23.stac-item
2014-06-04 15:30:08	wofs_ls_151067_2014-06-04.stac-item
2014-07-03 18:14:46	wofs_ls_178061_2014-07-03.stac-item
2014-09-24 18:43:10	wofs_ls_183054_2014-09-24.stac-item
2015-05-24 18:32:59	wofs_ls_181062_2015-05-24.stac-item
2016-11-06 19:37:40	wofs_ls_193035_2016-11-06.stac-item
2017-01-23 16:45:11	wofs_ls_163068_2017-01-23.stac-item
2017-01-26 17:14:28	wofs_ls_168064_2017-01-26.stac-item
2017-04-28 17:33:13	wofs_ls_172051_2017-04-28.stac-item
2017-10-30 19:01:20	wofs_ls_187037_2017-10-30.stac-item
2018-08-25 17:20:16	wofs_ls_168080_2018-08-25.stac-item
2019-10-26 18:28:20	wofs_ls_181047_2019-10-26.stac-item
2020-01-29 19:19:17	wofs_ls_190036_2020-01-29.stac-item
2020-03-26 19:19:56	wofs_ls_189054_2020-03-26.stac-item
2020-05-12 18:41:54	wofs_ls_182068_2020-05-12.stac-item
2020-06-19 19:30:02	wofs_ls_192033_2020-06-19.stac-item
2022-01-08 18:42:21	wofs_ls_184036_2022-01-08.stac-item
2022-03-04 18:05:38	wofs_ls_177053_2022-03-04.stac-item
2022-05-02 17:06:12	wofs_ls_166075_2022-05-02.stac-item
2022-06-21 15:59:35	wofs_ls_156063_2022-06-21.stac-item
2022-08-23 16:56:52	wofs_ls_165066_2022-08-23.stac-item
2022-08-23 18:34:09	wofs_ls_181062_2022-08-23.stac-item
2022-09-28 16:32:16	wofs_ls_161066_2022-09-28.stac-item
2022-09-28 18:05:34	wofs_ls_177052_2022-09-28.stac-item
2022-10-03 16:54:24	wofs_ls_164075_2022-10-03.stac-item
2022-11-05 17:30:08	wofs_ls_171056_2022-11-05.stac-item
2022-12-01 17:25:54	wofs_ls_169076_2022-12-01.stac-item
2022-12-20 20:08:15	wofs_ls_198034_2022-12-20.stac-item
2023-02-18 20:34:32	wofs_ls_202038_2023-02-18.stac-item
2023-08-12 17:31:59	wofs_ls_171062_2023-08-12.stac-item
2024-05-13 17:52:39	wofs_ls_176038_2024-05-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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