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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
2013-05-20 18:23:35	wofs_ls_179062_2013-05-20.stac-item
2014-08-07 17:07:49	wofs_ls_167063_2014-08-07.stac-item
2014-11-05 20:53:42	wofs_ls_205040_2014-11-05.stac-item
2016-02-23 15:48:56	wofs_ls_154067_2016-02-23.stac-item
2016-05-16 19:32:06	wofs_ls_191054_2016-05-16.stac-item
2017-06-21 18:35:27	wofs_ls_182051_2017-06-21.stac-item
2017-10-13 18:27:38	wofs_ls_180061_2017-10-13.stac-item
2018-01-31 20:12:54	wofs_ls_198047_2018-01-31.stac-item
2018-07-29 20:41:59	wofs_ls_203044_2018-07-29.stac-item
2019-03-19 18:56:26	wofs_ls_186042_2019-03-19.stac-item
2019-07-22 18:33:06	wofs_ls_181060_2019-07-22.stac-item
2019-11-02 20:16:59	wofs_ls_198056_2019-11-02.stac-item
2020-03-12 17:32:24	wofs_ls_171063_2020-03-12.stac-item
2020-10-19 20:17:20	wofs_ls_198057_2020-10-19.stac-item
2020-12-12 16:28:52	wofs_ls_160073_2020-12-12.stac-item
2021-03-19 17:11:12	wofs_ls_167072_2021-03-19.stac-item
2021-07-26 17:59:27	wofs_ls_174084_2021-07-26.stac-item
2022-01-14 17:34:33	wofs_ls_170083_2022-01-14.stac-item
2022-04-06 18:42:50	wofs_ls_184038_2022-04-06.stac-item
2022-04-09 18:32:56	wofs_ls_181060_2022-04-09.stac-item
2022-04-17 20:09:26	wofs_ls_197054_2022-04-17.stac-item
2022-10-21 16:39:21	wofs_ls_162068_2022-10-21.stac-item
2022-12-10 17:15:18	wofs_ls_168065_2022-12-10.stac-item
2023-02-18 19:03:14	wofs_ls_186057_2023-02-18.stac-item
2023-03-28 17:40:54	wofs_ls_172069_2023-03-28.stac-item
2024-04-03 17:12:47	wofs_ls_168061_2024-04-03.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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