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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
2014-01-15 18:27:06	wofs_ls_179073_2014-01-15.stac-item
2014-10-15 17:26:10	wofs_ls_170062_2014-10-15.stac-item
2015-03-20 16:14:32	wofs_ls_158070_2015-03-20.stac-item
2016-07-23 17:31:43	wofs_ls_171061_2016-07-23.stac-item
2017-01-04 17:52:03	wofs_ls_174065_2017-01-04.stac-item
2017-12-08 19:07:22	wofs_ls_188037_2017-12-08.stac-item
2019-09-24 18:31:27	wofs_ls_181055_2019-09-24.stac-item
2020-01-23 18:33:28	wofs_ls_180076_2020-01-23.stac-item
2020-05-22 19:12:38	wofs_ls_188052_2020-05-22.stac-item
2020-12-11 15:46:01	wofs_ls_153074_2020-12-11.stac-item
2021-07-12 19:16:41	wofs_ls_188061_2021-07-12.stac-item
2021-11-11 18:32:22	wofs_ls_180076_2021-11-11.stac-item
2021-12-12 19:57:58	wofs_ls_195055_2021-12-12.stac-item
2022-01-15 17:24:22	wofs_ls_169073_2022-01-15.stac-item
2022-02-07 18:16:02	wofs_ls_178063_2022-02-07.stac-item
2022-03-21 17:13:58	wofs_ls_168063_2022-03-21.stac-item
2022-08-28 18:53:06	wofs_ls_184063_2022-08-28.stac-item
2022-10-03 17:33:44	wofs_ls_172049_2022-10-03.stac-item
2022-10-20 18:24:32	wofs_ls_179068_2022-10-20.stac-item
2022-11-10 19:18:51	wofs_ls_190034_2022-11-10.stac-item
2022-11-28 17:45:07	wofs_ls_172078_2022-11-28.stac-item
2023-02-27 17:14:51	wofs_ls_169049_2023-02-27.stac-item
2023-02-28 17:16:26	wofs_ls_168069_2023-02-28.stac-item
2023-06-26 19:03:45	wofs_ls_186061_2023-06-26.stac-item
2023-07-01 20:52:57	wofs_ls_205040_2023-07-01.stac-item
2024-04-10 18:53:50	wofs_ls_185051_2024-04-10.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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