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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
2013-10-27 18:24:53	wofs_ls_179066_2013-10-27.stac-item
2015-06-01 19:18:30	wofs_ls_189052_2015-06-01.stac-item
2016-01-07 19:45:21	wofs_ls_193055_2016-01-07.stac-item
2016-03-22 16:17:31	wofs_ls_158077_2016-03-22.stac-item
2016-09-15 20:08:15	wofs_ls_197050_2016-09-15.stac-item
2017-06-12 18:41:35	wofs_ls_183051_2017-06-12.stac-item
2017-09-17 16:16:41	wofs_ls_158074_2017-09-17.stac-item
2018-05-05 17:15:06	wofs_ls_168068_2018-05-05.stac-item
2018-05-27 18:11:27	wofs_ls_178055_2018-05-27.stac-item
2018-08-30 17:29:40	wofs_ls_171057_2018-08-30.stac-item
2018-10-15 19:20:25	wofs_ls_189055_2018-10-15.stac-item
2019-06-07 17:21:43	wofs_ls_170052_2019-06-07.stac-item
2019-09-02 17:29:32	wofs_ls_171055_2019-09-02.stac-item
2019-09-02 17:29:32	wofs_ls_171055_2019-09-02.stac-item
2020-06-21 17:47:10	wofs_ls_174054_2020-06-21.stac-item
2021-03-15 17:37:57	wofs_ls_171077_2021-03-15.stac-item
2021-10-31 16:57:27	wofs_ls_165067_2021-10-31.stac-item
2022-03-21 17:21:09	wofs_ls_168081_2022-03-21.stac-item
2022-06-16 17:14:36	wofs_ls_169050_2022-06-16.stac-item
2022-07-15 20:51:54	wofs_ls_204051_2022-07-15.stac-item
2022-11-23 18:14:32	wofs_ls_177074_2022-11-23.stac-item
2022-12-06 16:47:18	wofs_ls_164057_2022-12-06.stac-item
2022-12-27 17:10:37	wofs_ls_167069_2022-12-27.stac-item
2023-03-10 17:01:45	wofs_ls_166063_2023-03-10.stac-item
2023-03-25 19:32:11	wofs_ls_191053_2023-03-25.stac-item
2023-04-18 20:21:50	wofs_ls_199054_2023-04-18.stac-item
2023-07-24 17:01:46	wofs_ls_166064_2023-07-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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