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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:

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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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35 results

Time (local)	Label
2013-08-29 20:09:52	wofs_ls_198034_2013-08-29.stac-item
2013-09-17 20:41:53	wofs_ls_203037_2013-09-17.stac-item
2013-10-07 20:19:29	wofs_ls_199043_2013-10-07.stac-item
2014-01-18 20:22:56	wofs_ls_200038_2014-01-18.stac-item
2014-04-27 20:53:41	wofs_ls_205041_2014-04-27.stac-item
2014-11-01 19:45:05	wofs_ls_193054_2014-11-01.stac-item
2015-01-29 16:20:06	wofs_ls_160052_2015-01-29.stac-item
2015-10-25 20:41:12	wofs_ls_203040_2015-10-25.stac-item
2016-02-05 19:14:49	wofs_ls_188056_2016-02-05.stac-item
2016-09-22 20:17:14	wofs_ls_198057_2016-09-22.stac-item
2016-11-16 17:08:32	wofs_ls_167064_2016-11-16.stac-item
2018-10-02 18:17:07	wofs_ls_178067_2018-10-02.stac-item
2018-11-24 16:50:59	wofs_ls_165052_2018-11-24.stac-item
2018-12-23 16:35:59	wofs_ls_160092_2018-12-23.stac-item
2019-09-27 15:49:23	wofs_ls_154067_2019-09-27.stac-item
2020-03-26 17:47:25	wofs_ls_173070_2020-03-26.stac-item
2020-03-28 19:07:57	wofs_ls_187055_2020-03-28.stac-item
2020-04-21 18:26:18	wofs_ls_179075_2020-04-21.stac-item
2020-11-01 19:42:25	wofs_ls_193047_2020-11-01.stac-item
2021-04-13 16:58:56	wofs_ls_166057_2021-04-13.stac-item
2021-09-19 17:56:44	wofs_ls_175061_2021-09-19.stac-item
2021-10-13 20:21:36	wofs_ls_199052_2021-10-13.stac-item
2021-12-19 16:54:19	wofs_ls_164075_2021-12-19.stac-item
2022-01-03 20:56:57	wofs_ls_205048_2022-01-03.stac-item
2022-09-19 19:03:28	wofs_ls_186057_2022-09-19.stac-item
2022-09-30 17:05:15	wofs_ls_167055_2022-09-30.stac-item
2022-11-16 17:14:27	wofs_ls_168063_2022-11-16.stac-item
2022-11-30 18:54:53	wofs_ls_186036_2022-11-30.stac-item
2022-12-02 16:27:29	wofs_ls_160069_2022-12-02.stac-item
2022-12-17 17:19:25	wofs_ls_169060_2022-12-17.stac-item
2023-01-04 18:45:30	wofs_ls_183059_2023-01-04.stac-item
2023-01-15 20:05:20	wofs_ls_196058_2023-01-15.stac-item
2023-03-28 16:46:27	wofs_ls_164056_2023-03-28.stac-item
2023-05-21 17:58:10	wofs_ls_174082_2023-05-21.stac-item
2024-06-11 21:33:27	wofs_ls_211049_2024-06-11.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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