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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
2013-05-16 20:23:58	wofs_ls_199054_2013-05-16.stac-item
2013-07-20 16:18:07	wofs_ls_158073_2013-07-20.stac-item
2015-03-26 17:11:05	wofs_ls_168057_2015-03-26.stac-item
2015-09-05 19:20:00	wofs_ls_189054_2015-09-05.stac-item
2015-11-07 16:59:44	wofs_ls_166058_2015-11-07.stac-item
2015-12-05 17:27:16	wofs_ls_170065_2015-12-05.stac-item
2016-09-19 18:09:50	wofs_ls_177063_2016-09-19.stac-item
2017-07-10 19:08:25	wofs_ls_187056_2017-07-10.stac-item
2018-08-22 21:33:14	wofs_ls_211048_2018-08-22.stac-item
2019-03-24 17:41:16	wofs_ls_173055_2019-03-24.stac-item
2019-12-31 18:28:34	wofs_ls_179079_2019-12-31.stac-item
2020-08-16 18:42:07	wofs_ls_182067_2020-08-16.stac-item
2021-11-21 20:20:32	wofs_ls_200034_2021-11-21.stac-item
2022-02-16 17:19:49	wofs_ls_169062_2022-02-16.stac-item
2022-05-01 17:05:08	wofs_ls_167057_2022-05-01.stac-item
2022-05-19 17:49:12	wofs_ls_173074_2022-05-19.stac-item
2022-06-03 16:15:18	wofs_ls_158072_2022-06-03.stac-item
2022-06-21 19:14:58	wofs_ls_188057_2022-06-21.stac-item
2022-08-17 17:32:19	wofs_ls_171062_2022-08-17.stac-item
2022-09-08 17:41:52	wofs_ls_173054_2022-09-08.stac-item
2022-09-22 18:50:13	wofs_ls_183071_2022-09-22.stac-item
2022-11-09 18:46:20	wofs_ls_183061_2022-11-09.stac-item
2022-12-24 17:26:19	wofs_ls_170062_2022-12-24.stac-item
2023-01-20 17:57:07	wofs_ls_175062_2023-01-20.stac-item
2023-01-22 16:09:54	wofs_ls_157072_2023-01-22.stac-item
2023-08-07 20:26:49	wofs_ls_200051_2023-08-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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