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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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32 results

Time (local)	Label
2014-03-26 17:51:32	wofs_ls_173079_2014-03-26.stac-item
2014-07-05 18:09:13	wofs_ls_176078_2014-07-05.stac-item
2014-09-19 18:27:04	wofs_ls_180060_2014-09-19.stac-item
2014-10-27 17:50:03	wofs_ls_174060_2014-10-27.stac-item
2014-12-09 15:58:56	wofs_ls_155076_2014-12-09.stac-item
2015-01-21 18:50:02	wofs_ls_184056_2015-01-21.stac-item
2015-06-07 18:41:06	wofs_ls_183051_2015-06-07.stac-item
2015-10-16 19:08:49	wofs_ls_188041_2015-10-16.stac-item
2016-02-11 17:03:35	wofs_ls_166068_2016-02-11.stac-item
2016-02-18 20:22:16	wofs_ls_199055_2016-02-18.stac-item
2017-01-26 17:22:03	wofs_ls_168083_2017-01-26.stac-item
2017-03-29 17:29:07	wofs_ls_170071_2017-03-29.stac-item
2017-05-24 18:14:55	wofs_ls_178062_2017-05-24.stac-item
2017-06-04 16:20:22	wofs_ls_159069_2017-06-04.stac-item
2017-06-05 18:36:33	wofs_ls_182054_2017-06-05.stac-item
2018-02-12 17:31:21	wofs_ls_170076_2018-02-12.stac-item
2018-02-19 15:53:25	wofs_ls_155063_2018-02-19.stac-item
2018-04-23 16:44:54	wofs_ls_164054_2018-04-23.stac-item
2018-06-01 18:31:31	wofs_ls_181059_2018-06-01.stac-item
2018-10-13 19:30:46	wofs_ls_191050_2018-10-13.stac-item
2019-08-31 17:48:16	wofs_ls_173071_2019-08-31.stac-item
2019-12-18 17:18:15	wofs_ls_168073_2019-12-18.stac-item
2020-02-12 19:37:58	wofs_ls_192052_2020-02-12.stac-item
2020-06-21 16:13:52	wofs_ls_158068_2020-06-21.stac-item
2021-08-03 17:05:41	wofs_ls_166073_2021-08-03.stac-item
2021-12-07 18:42:52	wofs_ls_184037_2021-12-07.stac-item
2021-12-20 19:51:12	wofs_ls_195038_2021-12-20.stac-item
2022-02-15 19:01:50	wofs_ls_186054_2022-02-15.stac-item
2023-01-27 18:09:49	wofs_ls_176078_2023-01-27.stac-item
2023-03-25 18:47:42	wofs_ls_183066_2023-03-25.stac-item
2024-02-14 20:33:00	wofs_ls_201050_2024-02-14.stac-item
2024-05-12 16:33:05	wofs_ls_161070_2024-05-12.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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