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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:

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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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27 results

Time (local)	Label
2013-07-12 17:01:13	wofs_ls_166057_2013-07-12.stac-item
2014-05-13 20:53:51	wofs_ls_205042_2014-05-13.stac-item
2014-10-14 18:24:59	wofs_ls_179070_2014-10-14.stac-item
2015-02-03 16:41:01	wofs_ls_163058_2015-02-03.stac-item
2015-06-07 17:01:49	wofs_ls_167050_2015-06-07.stac-item
2015-06-08 21:00:52	wofs_ls_206045_2015-06-08.stac-item
2016-01-07 19:41:46	wofs_ls_193046_2016-01-07.stac-item
2016-02-26 16:19:51	wofs_ls_159067_2016-02-26.stac-item
2017-01-03 17:08:48	wofs_ls_167065_2017-01-03.stac-item
2017-05-05 20:55:34	wofs_ls_205047_2017-05-05.stac-item
2018-04-18 16:33:11	wofs_ls_161071_2018-04-18.stac-item
2018-10-27 18:09:54	wofs_ls_177064_2018-10-27.stac-item
2018-11-15 16:57:58	wofs_ls_166054_2018-11-15.stac-item
2019-02-09 18:09:09	wofs_ls_176078_2019-02-09.stac-item
2019-06-04 20:01:24	wofs_ls_197034_2019-06-04.stac-item
2019-10-10 18:24:20	wofs_ls_181037_2019-10-10.stac-item
2020-02-28 18:00:36	wofs_ls_176056_2020-02-28.stac-item
2020-03-11 20:03:43	wofs_ls_196055_2020-03-11.stac-item
2020-03-26 17:35:28	wofs_ls_173040_2020-03-26.stac-item
2021-11-21 20:08:24	wofs_ls_197057_2021-11-21.stac-item
2022-01-27 17:45:25	wofs_ls_173064_2022-01-27.stac-item
2022-02-01 17:08:16	wofs_ls_168048_2022-02-01.stac-item
2022-02-22 16:41:30	wofs_ls_163059_2022-02-22.stac-item
2022-07-17 16:34:44	wofs_ls_162058_2022-07-17.stac-item
2022-12-18 17:14:24	wofs_ls_168063_2022-12-18.stac-item
2023-01-24 17:30:53	wofs_ls_171058_2023-01-24.stac-item
2023-03-04 18:30:10	wofs_ls_180068_2023-03-04.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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