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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

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Time when dataset was created (processed) From

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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:

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Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Label:

Latitude range from:

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Longitude range from:

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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:

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Acquisition time range From

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29 results

Time (local)	Label
2013-08-05 17:44:42	wofs_ls_174042_2013-08-05.stac-item
2014-01-10 19:32:00	wofs_ls_192034_2014-01-10.stac-item
2015-01-24 20:53:49	wofs_ls_205041_2015-01-24.stac-item
2015-03-17 18:54:39	wofs_ls_185053_2015-03-17.stac-item
2015-11-09 18:30:14	wofs_ls_180068_2015-11-09.stac-item
2017-01-29 20:53:57	wofs_ls_205041_2017-01-29.stac-item
2017-04-16 20:20:50	wofs_ls_200037_2017-04-16.stac-item
2017-06-26 17:26:18	wofs_ls_169079_2017-06-26.stac-item
2017-07-19 17:21:25	wofs_ls_170051_2017-07-19.stac-item
2017-08-21 16:35:58	wofs_ls_161076_2017-08-21.stac-item
2017-09-01 17:51:34	wofs_ls_174064_2017-09-01.stac-item
2018-05-11 18:12:51	wofs_ls_178058_2018-05-11.stac-item
2018-07-05 16:47:21	wofs_ls_163076_2018-07-05.stac-item
2018-10-29 16:20:39	wofs_ls_159069_2018-10-29.stac-item
2018-12-29 18:55:32	wofs_ls_186039_2018-12-29.stac-item
2019-10-09 19:19:58	wofs_ls_190037_2019-10-09.stac-item
2020-01-02 18:07:25	wofs_ls_177057_2020-01-02.stac-item
2020-07-11 19:00:41	wofs_ls_186052_2020-07-11.stac-item
2020-08-20 18:14:14	wofs_ls_178059_2020-08-20.stac-item
2020-10-11 16:13:42	wofs_ls_158066_2020-10-11.stac-item
2021-06-28 17:23:02	wofs_ls_170055_2021-06-28.stac-item
2022-01-17 21:06:29	wofs_ls_207041_2022-01-17.stac-item
2022-03-07 18:39:44	wofs_ls_182061_2022-03-07.stac-item
2022-05-29 20:39:02	wofs_ls_203036_2022-05-29.stac-item
2022-06-21 17:36:53	wofs_ls_172059_2022-06-21.stac-item
2022-08-01 19:09:52	wofs_ls_187059_2022-08-01.stac-item
2023-01-23 17:44:14	wofs_ls_172076_2023-01-23.stac-item
2023-05-24 18:21:50	wofs_ls_179064_2023-05-24.stac-item
2024-02-07 18:53:10	wofs_ls_184063_2024-02-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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