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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
2013-12-28 18:38:08	wofs_ls_181069_2013-12-28.stac-item
2013-12-28 20:05:04	wofs_ls_197039_2013-12-28.stac-item
2014-06-12 17:53:21	wofs_ls_175054_2014-06-12.stac-item
2014-09-11 17:33:40	wofs_ls_172050_2014-09-11.stac-item
2015-02-12 19:46:55	wofs_ls_194044_2015-02-12.stac-item
2015-04-12 17:53:26	wofs_ls_175055_2015-04-12.stac-item
2015-06-10 19:16:02	wofs_ls_188061_2015-06-10.stac-item
2016-02-25 17:09:53	wofs_ls_168053_2016-02-25.stac-item
2016-08-15 17:38:22	wofs_ls_172062_2016-08-15.stac-item
2016-09-11 17:23:34	wofs_ls_169071_2016-09-11.stac-item
2016-12-13 20:00:56	wofs_ls_196047_2016-12-13.stac-item
2017-11-23 19:57:03	wofs_ls_195053_2017-11-23.stac-item
2018-09-27 19:25:04	wofs_ls_191036_2018-09-27.stac-item
2019-03-07 16:56:05	wofs_ls_166050_2019-03-07.stac-item
2019-03-16 18:23:57	wofs_ls_181038_2019-03-16.stac-item
2019-04-20 20:32:46	wofs_ls_202036_2019-04-20.stac-item
2019-05-15 20:33:31	wofs_ls_201053_2019-05-15.stac-item
2020-03-24 17:49:03	wofs_ls_175043_2020-03-24.stac-item
2020-04-26 20:16:30	wofs_ls_198057_2020-04-26.stac-item
2021-12-26 17:36:48	wofs_ls_173042_2021-12-26.stac-item
2022-01-03 19:14:29	wofs_ls_189039_2022-01-03.stac-item
2022-01-17 17:48:43	wofs_ls_175041_2022-01-17.stac-item
2022-01-22 17:23:43	wofs_ls_170056_2022-01-22.stac-item
2022-09-23 16:17:18	wofs_ls_158075_2022-09-23.stac-item
2022-10-22 18:54:43	wofs_ls_185051_2022-10-22.stac-item
2022-11-05 17:24:58	wofs_ls_171043_2022-11-05.stac-item
2022-11-25 18:51:07	wofs_ls_183073_2022-11-25.stac-item
2022-11-30 20:38:56	wofs_ls_202049_2022-11-30.stac-item
2023-01-13 16:56:47	wofs_ls_166050_2023-01-13.stac-item
2023-03-16 16:27:04	wofs_ls_160069_2023-03-16.stac-item
2024-03-28 20:16:12	wofs_ls_198055_2024-03-28.stac-item
2024-05-03 18:59:22	wofs_ls_186050_2024-05-03.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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