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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

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Dataset URI:

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27 results

Time (local)	Label
2014-11-24 18:17:57	wofs_ls_178068_2014-11-24.stac-item
2015-02-14 16:26:44	wofs_ls_160069_2015-02-14.stac-item
2015-04-13 20:15:35	wofs_ls_198055_2015-04-13.stac-item
2015-08-10 17:03:28	wofs_ls_167053_2015-08-10.stac-item
2015-12-11 18:23:04	wofs_ls_180050_2015-12-11.stac-item
2017-05-19 16:19:49	wofs_ls_159068_2017-05-19.stac-item
2018-10-03 18:54:25	wofs_ls_185052_2018-10-03.stac-item
2019-03-04 16:31:34	wofs_ls_161066_2019-03-04.stac-item
2019-05-01 17:03:38	wofs_ls_167054_2019-05-01.stac-item
2020-05-28 18:30:24	wofs_ls_182039_2020-05-28.stac-item
2020-08-31 17:55:24	wofs_ls_175058_2020-08-31.stac-item
2021-10-06 17:02:48	wofs_ls_166065_2021-10-06.stac-item
2021-10-10 16:35:18	wofs_ls_162058_2021-10-10.stac-item
2022-01-18 16:57:29	wofs_ls_166052_2022-01-18.stac-item
2022-04-29 17:22:42	wofs_ls_169070_2022-04-29.stac-item
2022-07-11 17:13:24	wofs_ls_168062_2022-07-11.stac-item
2022-09-06 17:07:13	wofs_ls_167061_2022-09-06.stac-item
2022-11-27 19:17:57	wofs_ls_189047_2022-11-27.stac-item
2023-01-20 17:57:55	wofs_ls_175064_2023-01-20.stac-item
2023-01-31 18:26:32	wofs_ls_180058_2023-01-31.stac-item
2023-02-05 18:05:19	wofs_ls_175082_2023-02-05.stac-item
2023-02-09 20:44:01	wofs_ls_203046_2023-02-09.stac-item
2023-03-24 17:10:27	wofs_ls_168054_2023-03-24.stac-item
2023-04-08 17:16:12	wofs_ls_169054_2023-04-08.stac-item
2023-09-15 17:21:48	wofs_ls_169067_2023-09-15.stac-item
2024-05-06 17:09:48	wofs_ls_167069_2024-05-06.stac-item
2024-05-25 18:27:35	wofs_ls_180064_2024-05-25.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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