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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:

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Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

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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
2013-08-14 17:46:53	wofs_ls_173063_2013-08-14.stac-item
2014-04-13 17:34:32	wofs_ls_171068_2014-04-13.stac-item
2015-04-24 18:18:30	wofs_ls_179056_2015-04-24.stac-item
2015-10-15 18:30:20	wofs_ls_181053_2015-10-15.stac-item
2015-12-16 17:11:31	wofs_ls_167072_2015-12-16.stac-item
2016-04-07 20:59:17	wofs_ls_206040_2016-04-07.stac-item
2016-11-27 16:46:00	wofs_ls_164054_2016-11-27.stac-item
2016-12-10 17:57:32	wofs_ls_175063_2016-12-10.stac-item
2019-09-02 19:08:25	wofs_ls_187055_2019-09-02.stac-item
2020-02-10 18:05:52	wofs_ls_178038_2020-02-10.stac-item
2021-05-01 18:25:17	wofs_ls_180057_2021-05-01.stac-item
2022-02-07 18:17:38	wofs_ls_178067_2022-02-07.stac-item
2022-02-25 18:53:41	wofs_ls_184065_2022-02-25.stac-item
2022-04-02 18:31:51	wofs_ls_180073_2022-04-02.stac-item
2022-06-23 17:22:35	wofs_ls_170054_2022-06-23.stac-item
2022-08-20 18:50:12	wofs_ls_184055_2022-08-20.stac-item
2022-11-01 17:08:26	wofs_ls_167063_2022-11-01.stac-item
2022-11-17 18:48:00	wofs_ls_183065_2022-11-17.stac-item
2023-01-04 18:00:05	wofs_ls_175069_2023-01-04.stac-item
2023-01-31 18:30:55	wofs_ls_180069_2023-01-31.stac-item
2023-03-26 16:57:15	wofs_ls_166052_2023-03-26.stac-item
2023-03-27 16:58:03	wofs_ls_165070_2023-03-27.stac-item
2023-06-14 18:43:49	wofs_ls_182073_2023-06-14.stac-item
2023-07-29 20:31:22	wofs_ls_201047_2023-07-29.stac-item
2024-01-28 18:14:27	wofs_ls_178059_2024-01-28.stac-item
2024-03-04 17:04:43	wofs_ls_166071_2024-03-04.stac-item
2024-03-09 18:58:30	wofs_ls_185062_2024-03-09.stac-item
2024-04-05 18:44:06	wofs_ls_182073_2024-04-05.stac-item
2024-05-13 18:02:36	wofs_ls_176063_2024-05-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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