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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:

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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:

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Acquisition time range From

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27 results

Time (local)	Label
2013-07-12 17:05:36	wofs_ls_166068_2013-07-12.stac-item
2013-09-02 18:13:50	wofs_ls_178053_2013-09-02.stac-item
2013-12-15 17:35:27	wofs_ls_170082_2013-12-15.stac-item
2014-04-26 17:00:15	wofs_ls_166060_2014-04-26.stac-item
2014-06-10 18:16:28	wofs_ls_177081_2014-06-10.stac-item
2014-10-07 18:11:59	wofs_ls_178053_2014-10-07.stac-item
2014-11-18 17:11:22	wofs_ls_168056_2014-11-18.stac-item
2014-12-29 20:20:26	wofs_ls_199050_2014-12-29.stac-item
2015-04-03 19:37:41	wofs_ls_192053_2015-04-03.stac-item
2015-08-12 20:06:31	wofs_ls_197047_2015-08-12.stac-item
2015-10-18 17:23:34	wofs_ls_170056_2015-10-18.stac-item
2015-11-07 18:39:01	wofs_ls_182059_2015-11-07.stac-item
2019-05-31 17:15:29	wofs_ls_169052_2019-05-31.stac-item
2019-07-16 20:44:15	wofs_ls_203048_2019-07-16.stac-item
2019-10-02 16:09:56	wofs_ls_157072_2019-10-02.stac-item
2019-11-02 20:08:37	wofs_ls_198035_2019-11-02.stac-item
2019-11-10 17:53:49	wofs_ls_174069_2019-11-10.stac-item
2020-03-12 17:25:13	wofs_ls_171045_2020-03-12.stac-item
2020-09-02 20:54:02	wofs_ls_205041_2020-09-02.stac-item
2021-06-11 19:55:52	wofs_ls_195051_2021-06-11.stac-item
2021-07-09 17:08:06	wofs_ls_167064_2021-07-09.stac-item
2022-01-15 18:15:01	wofs_ls_177076_2022-01-15.stac-item
2022-01-18 20:11:40	wofs_ls_198043_2022-01-18.stac-item
2022-12-15 17:37:23	wofs_ls_171074_2022-12-15.stac-item
2023-04-08 20:27:59	wofs_ls_201039_2023-04-08.stac-item
2023-07-15 19:31:44	wofs_ls_191053_2023-07-15.stac-item
2024-05-10 17:32:34	wofs_ls_171065_2024-05-10.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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