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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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26 results

Time (local)	Label
2014-01-10 19:32:48	wofs_ls_192036_2014-01-10.stac-item
2014-02-01 15:50:06	wofs_ls_154067_2014-02-01.stac-item
2014-12-22 17:04:32	wofs_ls_166070_2014-12-22.stac-item
2015-07-01 18:05:00	wofs_ls_175084_2015-07-01.stac-item
2016-01-09 19:24:38	wofs_ls_191034_2016-01-09.stac-item
2017-09-02 20:11:19	wofs_ls_197058_2017-09-02.stac-item
2017-09-15 16:30:38	wofs_ls_160078_2017-09-15.stac-item
2017-11-30 18:33:04	wofs_ls_180075_2017-11-30.stac-item
2018-04-14 16:57:09	wofs_ls_165069_2018-04-14.stac-item
2019-02-02 16:22:54	wofs_ls_159075_2019-02-02.stac-item
2019-02-08 17:19:31	wofs_ls_169062_2019-02-08.stac-item
2019-04-06 17:16:41	wofs_ls_168071_2019-04-06.stac-item
2019-05-19 16:56:15	wofs_ls_165066_2019-05-19.stac-item
2022-02-19 20:09:58	wofs_ls_198039_2022-02-19.stac-item
2022-02-22 17:31:02	wofs_ls_171059_2022-02-22.stac-item
2022-07-05 17:55:42	wofs_ls_174075_2022-07-05.stac-item
2022-07-05 17:55:42	wofs_ls_174075_2022-07-05.stac-item
2022-08-25 18:22:59	wofs_ls_179065_2022-08-25.stac-item
2022-09-03 19:49:19	wofs_ls_194049_2022-09-03.stac-item
2022-11-27 16:53:05	wofs_ls_165056_2022-11-27.stac-item
2022-12-10 17:12:07	wofs_ls_168057_2022-12-10.stac-item
2023-01-05 17:07:15	wofs_ls_166076_2023-01-05.stac-item
2023-02-18 17:20:45	wofs_ls_170048_2023-02-18.stac-item
2023-05-05 20:59:18	wofs_ls_206040_2023-05-05.stac-item
2023-09-11 18:25:13	wofs_ls_181040_2023-09-11.stac-item
2024-05-20 17:23:37	wofs_ls_169073_2024-05-20.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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