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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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26 results

Time (local)	Label
2013-07-24 15:53:48	wofs_ls_154074_2013-07-24.stac-item
2013-10-06 18:00:31	wofs_ls_176051_2013-10-06.stac-item
2014-01-29 20:11:30	wofs_ls_197056_2014-01-29.stac-item
2014-10-17 17:16:36	wofs_ls_168069_2014-10-17.stac-item
2014-10-25 19:39:19	wofs_ls_192055_2014-10-25.stac-item
2014-11-23 17:25:55	wofs_ls_171046_2014-11-23.stac-item
2015-02-23 19:24:22	wofs_ls_191034_2015-02-23.stac-item
2015-07-18 18:37:40	wofs_ls_182057_2015-07-18.stac-item
2016-07-20 17:03:59	wofs_ls_166069_2016-07-20.stac-item
2017-03-01 17:01:28	wofs_ls_166063_2017-03-01.stac-item
2017-08-17 16:57:29	wofs_ls_165068_2017-08-17.stac-item
2018-03-09 18:48:18	wofs_ls_185037_2018-03-09.stac-item
2018-11-24 18:37:26	wofs_ls_181071_2018-11-24.stac-item
2019-03-23 17:05:35	wofs_ls_166074_2019-03-23.stac-item
2021-02-15 20:14:05	wofs_ls_199034_2021-02-15.stac-item
2021-03-19 18:49:17	wofs_ls_183070_2021-03-19.stac-item
2021-12-19 16:47:32	wofs_ls_164058_2021-12-19.stac-item
2022-02-06 17:30:23	wofs_ls_171057_2022-02-06.stac-item
2022-05-18 18:36:03	wofs_ls_182052_2022-05-18.stac-item
2022-06-04 18:28:40	wofs_ls_181050_2022-06-04.stac-item
2022-06-15 17:22:55	wofs_ls_170054_2022-06-15.stac-item
2022-07-07 19:13:50	wofs_ls_188054_2022-07-07.stac-item
2023-01-05 19:19:36	wofs_ls_190036_2023-01-05.stac-item
2023-03-21 18:23:40	wofs_ls_179067_2023-03-21.stac-item
2024-05-09 15:14:02	wofs_ls_148074_2024-05-09.stac-item
2024-05-12 19:37:18	wofs_ls_193036_2024-05-12.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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