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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:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

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
2013-12-27 19:19:49	wofs_ls_190034_2013-12-27.stac-item
2014-03-09 17:02:58	wofs_ls_166065_2014-03-09.stac-item
2014-07-12 16:32:10	wofs_ls_161067_2014-07-12.stac-item
2015-01-21 20:28:31	wofs_ls_200055_2015-01-21.stac-item
2015-03-24 17:28:40	wofs_ls_170070_2015-03-24.stac-item
2016-02-04 20:01:41	wofs_ls_197034_2016-02-04.stac-item
2016-09-11 17:27:10	wofs_ls_169080_2016-09-11.stac-item
2016-11-09 17:01:33	wofs_ls_166062_2016-11-09.stac-item
2016-11-20 16:41:25	wofs_ls_163058_2016-11-20.stac-item
2018-11-16 17:45:13	wofs_ls_173064_2018-11-16.stac-item
2019-12-03 18:01:33	wofs_ls_175073_2019-12-03.stac-item
2019-12-29 18:36:09	wofs_ls_181067_2019-12-29.stac-item
2020-04-10 16:59:39	wofs_ls_166059_2020-04-10.stac-item
2020-09-15 18:47:08	wofs_ls_184048_2020-09-15.stac-item
2021-06-23 18:48:09	wofs_ls_183067_2021-06-23.stac-item
2021-07-01 19:31:14	wofs_ls_191051_2021-07-01.stac-item
2021-09-04 20:14:03	wofs_ls_198049_2021-09-04.stac-item
2021-10-07 17:40:53	wofs_ls_173052_2021-10-07.stac-item
2022-01-10 18:43:32	wofs_ls_182070_2022-01-10.stac-item
2022-01-22 18:20:26	wofs_ls_178074_2022-01-22.stac-item
2022-02-09 17:53:18	wofs_ls_176037_2022-02-09.stac-item
2022-03-07 17:04:50	wofs_ls_166071_2022-03-07.stac-item
2022-04-14 18:53:06	wofs_ls_184064_2022-04-14.stac-item
2022-04-17 16:56:27	wofs_ls_165066_2022-04-17.stac-item
2022-06-29 16:51:32	wofs_ls_164069_2022-06-29.stac-item
2022-12-02 20:20:36	wofs_ls_200034_2022-12-02.stac-item
2023-01-16 17:28:02	wofs_ls_171051_2023-01-16.stac-item
2023-07-21 17:17:22	wofs_ls_169057_2023-07-21.stac-item
2024-04-02 17:19:22	wofs_ls_169061_2024-04-02.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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