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Cloud cover percentage [0, 100] from:

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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:

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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
2014-02-10 18:55:58	wofs_ls_185053_2014-02-10.stac-item
2014-07-29 20:26:30	wofs_ls_200050_2014-07-29.stac-item
2015-11-17 20:49:49	wofs_ls_204046_2015-11-17.stac-item
2015-12-23 20:24:19	wofs_ls_200044_2015-12-23.stac-item
2016-08-13 17:59:05	wofs_ls_174083_2016-08-13.stac-item
2016-10-07 17:59:55	wofs_ls_175069_2016-10-07.stac-item
2017-03-03 18:29:10	wofs_ls_180066_2017-03-03.stac-item
2017-03-28 19:55:39	wofs_ls_195051_2017-03-28.stac-item
2017-11-05 18:32:37	wofs_ls_181058_2017-11-05.stac-item
2018-12-20 17:30:48	wofs_ls_171059_2018-12-20.stac-item
2018-12-26 18:36:35	wofs_ls_181069_2018-12-26.stac-item
2019-07-08 21:33:40	wofs_ls_211048_2019-07-08.stac-item
2019-11-04 18:28:55	wofs_ls_180064_2019-11-04.stac-item
2019-11-10 17:59:24	wofs_ls_174083_2019-11-10.stac-item
2020-03-26 17:43:50	wofs_ls_173061_2020-03-26.stac-item
2021-12-05 18:16:58	wofs_ls_178065_2021-12-05.stac-item
2021-12-18 20:04:22	wofs_ls_197040_2021-12-18.stac-item
2022-01-13 18:18:12	wofs_ls_179053_2022-01-13.stac-item
2022-03-31 18:43:49	wofs_ls_182072_2022-03-31.stac-item
2022-04-26 16:52:12	wofs_ls_164071_2022-04-26.stac-item
2022-04-29 19:41:52	wofs_ls_193047_2022-04-29.stac-item
2022-05-13 17:40:31	wofs_ls_171084_2022-05-13.stac-item
2022-10-13 19:52:22	wofs_ls_194056_2022-10-13.stac-item
2022-11-02 20:16:12	wofs_ls_198054_2022-11-02.stac-item
2022-12-28 17:43:07	wofs_ls_174042_2022-12-28.stac-item
2022-12-29 18:35:09	wofs_ls_181064_2022-12-29.stac-item
2024-05-09 18:28:37	wofs_ls_180066_2024-05-09.stac-item
2024-05-13 19:34:43	wofs_ls_192046_2024-05-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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