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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

Acquisition time range to (exclusive)

Dataset URI:

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32 results

Time (local)	Label
2013-07-16 18:15:22	wofs_ls_178057_2013-07-16.stac-item
2013-07-17 18:57:25	wofs_ls_185054_2013-07-17.stac-item
2014-10-27 16:15:33	wofs_ls_158071_2014-10-27.stac-item
2015-09-01 18:04:14	wofs_ls_177050_2015-09-01.stac-item
2015-09-04 20:10:02	wofs_ls_198040_2015-09-04.stac-item
2015-10-26 19:42:48	wofs_ls_194033_2015-10-26.stac-item
2016-03-17 19:09:37	wofs_ls_187059_2016-03-17.stac-item
2017-04-15 18:08:15	wofs_ls_177061_2017-04-15.stac-item
2017-08-03 19:48:52	wofs_ls_195033_2017-08-03.stac-item
2019-05-24 18:48:56	wofs_ls_184054_2019-05-24.stac-item
2019-08-13 19:31:04	wofs_ls_191050_2019-08-13.stac-item
2019-08-14 17:03:20	wofs_ls_166067_2019-08-14.stac-item
2019-08-26 17:26:07	wofs_ls_170062_2019-08-26.stac-item
2019-11-13 16:48:37	wofs_ls_163076_2019-11-13.stac-item
2020-06-14 16:05:38	wofs_ls_157063_2020-06-14.stac-item
2020-08-13 16:26:43	wofs_ls_161053_2020-08-13.stac-item
2020-09-30 16:28:14	wofs_ls_161056_2020-09-30.stac-item
2020-12-11 17:14:32	wofs_ls_169048_2020-12-11.stac-item
2021-06-04 18:12:21	wofs_ls_178055_2021-06-04.stac-item
2021-11-20 16:19:28	wofs_ls_158078_2021-11-20.stac-item
2021-12-15 20:22:52	wofs_ls_200040_2021-12-15.stac-item
2022-01-03 17:41:58	wofs_ls_173055_2022-01-03.stac-item
2022-02-12 15:21:10	wofs_ls_149074_2022-02-12.stac-item
2022-04-26 17:34:53	wofs_ls_172054_2022-04-26.stac-item
2022-06-16 17:16:12	wofs_ls_169054_2022-06-16.stac-item
2022-10-02 20:58:37	wofs_ls_205052_2022-10-02.stac-item
2022-10-26 17:42:43	wofs_ls_173056_2022-10-26.stac-item
2023-01-11 19:30:47	wofs_ls_192033_2023-01-11.stac-item
2023-01-28 17:02:38	wofs_ls_167049_2023-01-28.stac-item
2023-02-24 19:14:27	wofs_ls_188055_2023-02-24.stac-item
2023-05-12 17:03:06	wofs_ls_167053_2023-05-12.stac-item
2024-03-15 17:34:40	wofs_ls_171068_2024-03-15.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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