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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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33 results

Time (local)	Label
2013-12-31 17:33:43	wofs_ls_170078_2013-12-31.stac-item
2014-01-13 16:52:39	wofs_ls_165053_2014-01-13.stac-item
2014-03-20 19:50:07	wofs_ls_195035_2014-03-20.stac-item
2015-04-08 16:40:27	wofs_ls_163058_2015-04-08.stac-item
2015-05-28 18:09:28	wofs_ls_177065_2015-05-28.stac-item
2015-08-01 17:17:59	wofs_ls_168074_2015-08-01.stac-item
2015-08-10 17:04:40	wofs_ls_167056_2015-08-10.stac-item
2015-12-30 17:23:04	wofs_ls_169070_2015-12-30.stac-item
2017-09-30 18:55:17	wofs_ls_185053_2017-09-30.stac-item
2018-06-01 20:05:37	wofs_ls_197047_2018-06-01.stac-item
2018-12-06 20:34:14	wofs_ls_201054_2018-12-06.stac-item
2018-12-21 18:22:26	wofs_ls_178080_2018-12-21.stac-item
2019-05-02 17:48:54	wofs_ls_174059_2019-05-02.stac-item
2019-10-24 17:12:59	wofs_ls_167075_2019-10-24.stac-item
2019-11-26 20:59:59	wofs_ls_206040_2019-11-26.stac-item
2020-01-08 19:01:14	wofs_ls_187037_2020-01-08.stac-item
2020-04-10 17:03:14	wofs_ls_166068_2020-04-10.stac-item
2020-07-15 18:41:10	wofs_ls_182065_2020-07-15.stac-item
2020-08-18 18:25:23	wofs_ls_180056_2020-08-18.stac-item
2021-01-29 16:19:53	wofs_ls_160051_2021-01-29.stac-item
2021-10-08 18:27:44	wofs_ls_180061_2021-10-08.stac-item
2021-11-23 18:15:21	wofs_ls_178068_2021-11-23.stac-item
2022-01-17 16:22:59	wofs_ls_159074_2022-01-17.stac-item
2022-04-26 19:08:11	wofs_ls_188040_2022-04-26.stac-item
2022-05-28 17:36:38	wofs_ls_172058_2022-05-28.stac-item
2022-08-21 17:08:25	wofs_ls_167064_2022-08-21.stac-item
2022-09-27 18:19:13	wofs_ls_178070_2022-09-27.stac-item
2022-11-22 19:50:44	wofs_ls_194052_2022-11-22.stac-item
2022-11-23 20:27:37	wofs_ls_201036_2022-11-23.stac-item
2022-12-25 18:59:27	wofs_ls_185063_2022-12-25.stac-item
2023-01-26 19:46:04	wofs_ls_193056_2023-01-26.stac-item
2023-06-25 19:58:10	wofs_ls_195058_2023-06-25.stac-item
2024-02-06 18:12:42	wofs_ls_177070_2024-02-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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