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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

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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:

The ground sample distance to (exclusive):

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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28 results

Time (local)	Label
2013-10-29 16:34:25	wofs_ls_161068_2013-10-29.stac-item
2014-08-08 16:14:36	wofs_ls_158069_2014-08-08.stac-item
2015-08-28 20:07:49	wofs_ls_197050_2015-08-28.stac-item
2015-10-27 17:22:39	wofs_ls_169069_2015-10-27.stac-item
2017-05-15 18:22:11	wofs_ls_179065_2017-05-15.stac-item
2018-06-17 16:53:57	wofs_ls_165062_2018-06-17.stac-item
2018-07-29 19:08:17	wofs_ls_187057_2018-07-29.stac-item
2019-01-14 17:25:23	wofs_ls_170061_2019-01-14.stac-item
2019-05-07 16:32:59	wofs_ls_161070_2019-05-07.stac-item
2020-03-21 17:29:44	wofs_ls_170072_2020-03-21.stac-item
2020-05-09 19:39:54	wofs_ls_193043_2020-05-09.stac-item
2020-11-01 18:12:18	wofs_ls_177069_2020-11-01.stac-item
2021-06-02 20:04:47	wofs_ls_196058_2021-06-02.stac-item
2021-08-29 17:43:42	wofs_ls_172075_2021-08-29.stac-item
2022-01-07 18:50:08	wofs_ls_185040_2022-01-07.stac-item
2022-03-18 19:02:32	wofs_ls_187041_2022-03-18.stac-item
2022-05-03 20:01:22	wofs_ls_197034_2022-05-03.stac-item
2022-05-24 17:12:41	wofs_ls_168061_2022-05-24.stac-item
2022-07-07 19:13:26	wofs_ls_188053_2022-07-07.stac-item
2022-07-20 18:03:07	wofs_ls_175077_2022-07-20.stac-item
2023-01-21 17:59:46	wofs_ls_174084_2023-01-21.stac-item
2023-04-18 17:54:46	wofs_ls_175058_2023-04-18.stac-item
2023-07-02 19:59:44	wofs_ls_196046_2023-07-02.stac-item
2023-07-11 17:30:13	wofs_ls_171058_2023-07-11.stac-item
2023-08-19 20:48:51	wofs_ls_204044_2023-08-19.stac-item
2024-01-14 18:08:29	wofs_ls_176075_2024-01-14.stac-item
2024-02-02 16:06:52	wofs_ls_157065_2024-02-02.stac-item
2024-05-06 18:00:08	wofs_ls_175072_2024-05-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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