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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:

Sun azimuth to (exclusive):

Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

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:

The satellite relative orbit to (exclusive):

Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-09-11 18:16:47	wofs_ls_177076_2013-09-11.stac-item
2013-11-25 17:56:15	wofs_ls_174072_2013-11-25.stac-item
2014-02-13 16:18:13	wofs_ls_158076_2014-02-13.stac-item
2014-03-19 17:45:07	wofs_ls_172078_2014-03-19.stac-item
2014-12-08 16:52:10	wofs_ls_164070_2014-12-08.stac-item
2016-03-04 18:04:06	wofs_ls_176065_2016-03-04.stac-item
2017-02-26 18:07:53	wofs_ls_177059_2017-02-26.stac-item
2017-10-02 17:08:26	wofs_ls_167064_2017-10-02.stac-item
2017-10-06 19:56:43	wofs_ls_195052_2017-10-06.stac-item
2018-06-18 17:46:00	wofs_ls_172084_2018-06-18.stac-item
2018-09-22 17:33:58	wofs_ls_172052_2018-09-22.stac-item
2019-11-16 17:18:42	wofs_ls_168074_2019-11-16.stac-item
2020-02-11 18:58:41	wofs_ls_185062_2020-02-11.stac-item
2020-03-18 18:29:46	wofs_ls_181052_2020-03-18.stac-item
2021-04-25 20:33:45	wofs_ls_202038_2021-04-25.stac-item
2021-04-30 19:20:55	wofs_ls_189057_2021-04-30.stac-item
2022-01-11 17:37:32	wofs_ls_173044_2022-01-11.stac-item
2022-02-18 16:22:07	wofs_ls_159072_2022-02-18.stac-item
2022-05-13 18:27:52	wofs_ls_179078_2022-05-13.stac-item
2022-08-28 20:20:49	wofs_ls_200035_2022-08-28.stac-item
2022-10-06 18:54:12	wofs_ls_185050_2022-10-06.stac-item
2022-10-14 17:17:28	wofs_ls_169055_2022-10-14.stac-item
2022-11-15 17:19:06	wofs_ls_169059_2022-11-15.stac-item
2023-04-07 19:03:10	wofs_ls_186058_2023-04-07.stac-item
2023-04-24 18:15:48	wofs_ls_177079_2023-04-24.stac-item
2023-06-18 17:23:25	wofs_ls_170057_2023-06-18.stac-item
2024-05-07 18:39:24	wofs_ls_182062_2024-05-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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