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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
2013-06-09 16:23:58	wofs_ls_159072_2013-06-09.stac-item
2014-02-03 17:18:12	wofs_ls_168071_2014-02-03.stac-item
2014-03-27 16:46:19	wofs_ls_164055_2014-03-27.stac-item
2014-04-10 18:35:24	wofs_ls_182050_2014-04-10.stac-item
2014-06-18 18:48:24	wofs_ls_185037_2014-06-18.stac-item
2016-01-13 17:26:13	wofs_ls_171047_2016-01-13.stac-item
2016-04-07 17:56:16	wofs_ls_174077_2016-04-07.stac-item
2016-08-24 17:35:03	wofs_ls_171069_2016-08-24.stac-item
2016-10-31 18:45:02	wofs_ls_183058_2016-10-31.stac-item
2017-03-29 18:54:27	wofs_ls_186037_2017-03-29.stac-item
2017-06-14 20:07:19	wofs_ls_197049_2017-06-14.stac-item
2017-06-26 17:19:31	wofs_ls_169062_2017-06-26.stac-item
2017-07-31 21:02:00	wofs_ls_206046_2017-07-31.stac-item
2018-02-21 20:32:54	wofs_ls_201051_2018-02-21.stac-item
2018-04-02 16:31:21	wofs_ls_161066_2018-04-02.stac-item
2018-07-17 17:02:36	wofs_ls_167052_2018-07-17.stac-item
2019-03-17 17:41:05	wofs_ls_172070_2019-03-17.stac-item
2020-02-16 20:49:43	wofs_ls_204046_2020-02-16.stac-item
2020-10-26 20:17:55	wofs_ls_199043_2020-10-26.stac-item
2021-12-12 17:25:42	wofs_ls_171045_2021-12-12.stac-item
2022-01-09 18:36:10	wofs_ls_183036_2022-01-09.stac-item
2022-01-18 16:57:29	wofs_ls_166052_2022-01-18.stac-item
2022-01-22 17:25:19	wofs_ls_170060_2022-01-22.stac-item
2022-06-14 20:43:07	wofs_ls_203046_2022-06-14.stac-item
2022-10-20 17:34:58	wofs_ls_171068_2022-10-20.stac-item
2022-11-27 16:54:17	wofs_ls_165059_2022-11-27.stac-item
2023-01-27 16:28:32	wofs_ls_160072_2023-01-27.stac-item
2023-02-13 19:25:39	wofs_ls_191036_2023-02-13.stac-item
2023-03-05 17:38:55	wofs_ls_171079_2023-03-05.stac-item
2024-02-20 18:27:17	wofs_ls_179076_2024-02-20.stac-item
2024-04-01 17:23:57	wofs_ls_170058_2024-04-01.stac-item
2024-04-21 19:25:16	wofs_ls_190052_2024-04-21.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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