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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:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

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

Acquisition time range to (exclusive)

Dataset URI:

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30 results

Time (local)	Label
2013-03-21 17:46:03	wofs_ls_173056_2013-03-21.stac-item
2013-07-03 17:10:34	wofs_ls_167065_2013-07-03.stac-item
2014-01-13 16:52:15	wofs_ls_165052_2014-01-13.stac-item
2014-07-07 19:25:47	wofs_ls_190053_2014-07-07.stac-item
2016-01-01 20:20:29	wofs_ls_199050_2016-01-01.stac-item
2016-05-01 18:41:18	wofs_ls_182066_2016-05-01.stac-item
2016-05-02 19:13:02	wofs_ls_189037_2016-05-02.stac-item
2016-10-04 19:02:42	wofs_ls_186056_2016-10-04.stac-item
2017-01-30 18:25:24	wofs_ls_180056_2017-01-30.stac-item
2017-05-07 19:06:21	wofs_ls_187052_2017-05-07.stac-item
2018-10-03 17:25:54	wofs_ls_169078_2018-10-03.stac-item
2019-01-19 17:43:30	wofs_ls_173060_2019-01-19.stac-item
2019-03-01 19:08:06	wofs_ls_188040_2019-03-01.stac-item
2019-09-24 16:54:34	wofs_ls_165060_2019-09-24.stac-item
2019-10-12 18:25:32	wofs_ls_179071_2019-10-12.stac-item
2020-12-26 19:43:49	wofs_ls_194035_2020-12-26.stac-item
2021-04-30 17:50:01	wofs_ls_173077_2021-04-30.stac-item
2021-11-09 17:05:41	wofs_ls_167059_2021-11-09.stac-item
2022-02-27 16:57:15	wofs_ls_166052_2022-02-27.stac-item
2022-04-18 19:12:12	wofs_ls_188050_2022-04-18.stac-item
2022-05-01 16:24:07	wofs_ls_159078_2022-05-01.stac-item
2022-06-30 16:41:19	wofs_ls_163058_2022-06-30.stac-item
2022-08-07 16:53:58	wofs_ls_165059_2022-08-07.stac-item
2022-08-20 16:30:44	wofs_ls_160078_2022-08-20.stac-item
2022-09-02 20:40:57	wofs_ls_203039_2022-09-02.stac-item
2022-09-19 19:49:48	wofs_ls_194050_2022-09-19.stac-item
2022-10-14 18:57:33	wofs_ls_185058_2022-10-14.stac-item
2023-03-08 20:27:55	wofs_ls_200053_2023-03-08.stac-item
2023-09-12 16:00:17	wofs_ls_156064_2023-09-12.stac-item
2024-04-09 17:26:18	wofs_ls_170063_2024-04-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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