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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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28 results

Time (local)	Label
2013-05-05 20:41:56	wofs_ls_202053_2013-05-05.stac-item
2013-06-28 20:00:13	wofs_ls_196041_2013-06-28.stac-item
2014-01-01 18:01:02	wofs_ls_177038_2014-01-01.stac-item
2014-03-17 19:26:50	wofs_ls_190054_2014-03-17.stac-item
2015-10-24 18:24:38	wofs_ls_180054_2015-10-24.stac-item
2017-05-20 16:56:19	wofs_ls_166051_2017-05-20.stac-item
2017-10-17 19:39:24	wofs_ls_192055_2017-10-17.stac-item
2017-10-18 18:49:22	wofs_ls_183069_2017-10-18.stac-item
2017-11-06 17:35:47	wofs_ls_172055_2017-11-06.stac-item
2018-01-05 18:02:45	wofs_ls_176061_2018-01-05.stac-item
2018-02-18 18:24:44	wofs_ls_180055_2018-02-18.stac-item
2018-04-23 16:45:42	wofs_ls_164056_2018-04-23.stac-item
2018-05-09 18:26:49	wofs_ls_180062_2018-05-09.stac-item
2019-09-24 18:31:03	wofs_ls_181054_2019-09-24.stac-item
2019-10-22 20:34:44	wofs_ls_201054_2019-10-22.stac-item
2019-11-13 19:49:39	wofs_ls_195034_2019-11-13.stac-item
2019-12-08 21:28:17	wofs_ls_210049_2019-12-08.stac-item
2020-01-16 19:53:50	wofs_ls_195045_2020-01-16.stac-item
2020-07-11 17:21:24	wofs_ls_170051_2020-07-11.stac-item
2020-10-30 16:40:12	wofs_ls_163055_2020-10-30.stac-item
2021-03-28 20:08:01	wofs_ls_198035_2021-03-28.stac-item
2022-01-19 17:35:34	wofs_ls_173039_2022-01-19.stac-item
2022-08-16 16:47:28	wofs_ls_164058_2022-08-16.stac-item
2022-09-02 20:42:57	wofs_ls_203044_2022-09-02.stac-item
2022-09-21 17:58:58	wofs_ls_176051_2022-09-21.stac-item
2022-12-19 17:09:01	wofs_ls_167065_2022-12-19.stac-item
2023-01-09 18:11:26	wofs_ls_178051_2023-01-09.stac-item
2023-05-13 17:06:50	wofs_ls_166077_2023-05-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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