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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
2013-04-14 17:07:13	wofs_ls_167057_2013-04-14.stac-item
2014-01-14 19:15:34	wofs_ls_188055_2014-01-14.stac-item
2015-01-26 20:43:28	wofs_ls_203046_2015-01-26.stac-item
2015-02-12 19:42:32	wofs_ls_194033_2015-02-12.stac-item
2016-05-01 18:37:43	wofs_ls_182057_2016-05-01.stac-item
2017-05-11 18:40:29	wofs_ls_183049_2017-05-11.stac-item
2017-08-31 20:20:53	wofs_ls_199051_2017-08-31.stac-item
2017-09-10 17:44:11	wofs_ls_173061_2017-09-10.stac-item
2018-01-27 17:20:17	wofs_ls_170048_2018-01-27.stac-item
2018-02-16 18:30:20	wofs_ls_182038_2018-02-16.stac-item
2018-12-08 17:07:17	wofs_ls_167062_2018-12-08.stac-item
2019-06-27 18:41:11	wofs_ls_182065_2019-06-27.stac-item
2019-09-11 17:20:12	wofs_ls_170047_2019-09-11.stac-item
2020-01-29 19:27:39	wofs_ls_190057_2020-01-29.stac-item
2020-02-12 19:36:22	wofs_ls_192048_2020-02-12.stac-item
2020-08-01 20:57:25	wofs_ls_205050_2020-08-01.stac-item
2021-01-03 19:03:53	wofs_ls_186059_2021-01-03.stac-item
2021-07-02 16:57:55	wofs_ls_166054_2021-07-02.stac-item
2022-01-01 18:48:07	wofs_ls_183066_2022-01-01.stac-item
2022-01-04 16:45:33	wofs_ls_164053_2022-01-04.stac-item
2022-04-01 16:52:59	wofs_ls_165057_2022-04-01.stac-item
2022-06-15 19:00:37	wofs_ls_186051_2022-06-15.stac-item
2022-06-28 17:41:34	wofs_ls_173055_2022-06-28.stac-item
2022-08-16 18:33:56	wofs_ls_180077_2022-08-16.stac-item
2022-10-16 17:54:53	wofs_ls_175056_2022-10-16.stac-item
2022-12-02 20:28:10	wofs_ls_200053_2022-12-02.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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