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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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26 results

Time (local)	Label
2013-04-01 18:21:19	wofs_ls_178069_2013-04-01.stac-item
2013-06-12 16:49:16	wofs_ls_164058_2013-06-12.stac-item
2017-02-19 18:09:43	wofs_ls_176079_2017-02-19.stac-item
2017-08-06 17:13:58	wofs_ls_168063_2017-08-06.stac-item
2017-08-24 18:40:59	wofs_ls_182064_2017-08-24.stac-item
2018-02-24 19:21:43	wofs_ls_190043_2018-02-24.stac-item
2019-01-06 19:50:32	wofs_ls_194053_2019-01-06.stac-item
2019-03-21 17:21:32	wofs_ls_168083_2019-03-21.stac-item
2019-05-10 18:38:49	wofs_ls_182060_2019-05-10.stac-item
2019-07-20 20:21:09	wofs_ls_199052_2019-07-20.stac-item
2019-12-26 18:03:16	wofs_ls_176062_2019-12-26.stac-item
2020-09-12 16:41:19	wofs_ls_163058_2020-09-12.stac-item
2020-10-12 18:39:26	wofs_ls_181075_2020-10-12.stac-item
2020-12-07 17:50:01	wofs_ls_173075_2020-12-07.stac-item
2021-02-09 19:16:41	wofs_ls_189045_2021-02-09.stac-item
2021-03-22 17:41:42	wofs_ls_172071_2021-03-22.stac-item
2021-11-12 19:05:34	wofs_ls_186059_2021-11-12.stac-item
2021-12-05 21:28:46	wofs_ls_210050_2021-12-05.stac-item
2021-12-31 20:28:26	wofs_ls_200054_2021-12-31.stac-item
2022-03-23 18:36:05	wofs_ls_182052_2022-03-23.stac-item
2022-08-23 18:31:21	wofs_ls_181055_2022-08-23.stac-item
2023-02-15 17:48:44	wofs_ls_173072_2023-02-15.stac-item
2023-04-23 17:26:34	wofs_ls_170064_2023-04-23.stac-item
2023-06-12 20:20:21	wofs_ls_200036_2023-06-12.stac-item
2023-06-17 18:21:02	wofs_ls_179062_2023-06-17.stac-item
2024-04-15 19:10:20	wofs_ls_188046_2024-04-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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