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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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27 results

Time (local)	Label
2013-08-22 18:31:10	wofs_ls_181050_2013-08-22.stac-item
2014-02-19 17:19:34	wofs_ls_168075_2014-02-19.stac-item
2015-02-05 16:31:50	wofs_ls_161066_2015-02-05.stac-item
2015-04-17 19:42:06	wofs_ls_194033_2015-04-17.stac-item
2015-12-21 19:03:22	wofs_ls_186058_2015-12-21.stac-item
2016-09-15 18:36:33	wofs_ls_181068_2016-09-15.stac-item
2017-07-12 18:54:52	wofs_ls_185053_2017-07-12.stac-item
2017-07-23 18:37:12	wofs_ls_182055_2017-07-23.stac-item
2017-12-04 18:10:45	wofs_ls_176081_2017-12-04.stac-item
2018-06-28 16:38:43	wofs_ls_162070_2018-06-28.stac-item
2018-07-28 15:14:01	wofs_ls_148074_2018-07-28.stac-item
2019-03-30 17:13:20	wofs_ls_167078_2019-03-30.stac-item
2019-05-26 18:40:59	wofs_ls_182065_2019-05-26.stac-item
2020-06-07 20:48:51	wofs_ls_204045_2020-06-07.stac-item
2021-05-01 20:02:58	wofs_ls_196054_2021-05-01.stac-item
2021-11-13 19:36:47	wofs_ls_193037_2021-11-13.stac-item
2022-01-07 16:34:09	wofs_ls_161071_2022-01-07.stac-item
2022-01-12 19:10:15	wofs_ls_188044_2022-01-12.stac-item
2022-01-22 18:14:51	wofs_ls_178060_2022-01-22.stac-item
2022-02-20 19:19:31	wofs_ls_189052_2022-02-20.stac-item
2022-03-07 18:36:56	wofs_ls_182054_2022-03-07.stac-item
2022-05-05 21:33:51	wofs_ls_211049_2022-05-05.stac-item
2022-10-22 16:35:18	wofs_ls_161073_2022-10-22.stac-item
2022-11-17 16:24:01	wofs_ls_159076_2022-11-17.stac-item
2022-12-30 17:43:55	wofs_ls_172075_2022-12-30.stac-item
2023-04-21 16:50:22	wofs_ls_164067_2023-04-21.stac-item
2024-06-22 19:37:45	wofs_ls_192054_2024-06-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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