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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

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Dataset URI:

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26 results

Time (local)	Label
2013-04-29 19:39:41	wofs_ls_192052_2013-04-29.stac-item
2013-09-22 16:18:04	wofs_ls_158073_2013-09-22.stac-item
2013-10-03 17:34:00	wofs_ls_171062_2013-10-03.stac-item
2014-07-23 21:00:44	wofs_ls_206043_2014-07-23.stac-item
2014-10-30 18:20:55	wofs_ls_179060_2014-10-30.stac-item
2015-02-10 18:18:50	wofs_ls_180040_2015-02-10.stac-item
2015-05-10 18:19:26	wofs_ls_179059_2015-05-10.stac-item
2016-01-20 17:31:13	wofs_ls_172044_2016-01-20.stac-item
2016-02-18 18:39:24	wofs_ls_183045_2016-02-18.stac-item
2016-03-06 19:18:16	wofs_ls_190034_2016-03-06.stac-item
2016-04-05 19:37:57	wofs_ls_192053_2016-04-05.stac-item
2016-10-19 18:27:53	wofs_ls_179077_2016-10-19.stac-item
2017-11-15 17:31:34	wofs_ls_171060_2017-11-15.stac-item
2018-12-25 17:55:19	wofs_ls_174074_2018-12-25.stac-item
2019-04-06 17:13:30	wofs_ls_168063_2019-04-06.stac-item
2019-04-07 18:00:20	wofs_ls_175072_2019-04-07.stac-item
2019-06-08 16:27:18	wofs_ls_161055_2019-06-08.stac-item
2019-08-02 16:32:10	wofs_ls_162051_2019-08-02.stac-item
2019-09-11 15:52:29	wofs_ls_154075_2019-09-11.stac-item
2021-04-06 20:08:58	wofs_ls_197053_2021-04-06.stac-item
2021-11-13 17:58:31	wofs_ls_177038_2021-11-13.stac-item
2021-12-06 18:00:48	wofs_ls_177040_2021-12-06.stac-item
2022-03-19 18:16:52	wofs_ls_178066_2022-03-19.stac-item
2022-09-06 17:55:48	wofs_ls_175058_2022-09-06.stac-item
2022-09-22 17:06:32	wofs_ls_167059_2022-09-22.stac-item
2023-02-24 18:26:25	wofs_ls_180058_2023-02-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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