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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
2014-02-20 17:58:26	wofs_ls_175064_2014-02-20.stac-item
2014-05-29 19:20:32	wofs_ls_189056_2014-05-29.stac-item
2014-08-01 17:40:52	wofs_ls_173053_2014-08-01.stac-item
2014-12-23 17:43:24	wofs_ls_173059_2014-12-23.stac-item
2017-03-04 17:35:56	wofs_ls_171072_2017-03-04.stac-item
2017-07-06 17:56:38	wofs_ls_175062_2017-07-06.stac-item
2017-12-22 19:21:46	wofs_ls_190042_2017-12-22.stac-item
2018-02-06 16:35:58	wofs_ls_160092_2018-02-06.stac-item
2018-09-08 17:30:43	wofs_ls_170075_2018-09-08.stac-item
2019-01-02 18:41:58	wofs_ls_182067_2019-01-02.stac-item
2020-04-04 17:35:58	wofs_ls_172057_2020-04-04.stac-item
2020-04-10 17:01:15	wofs_ls_166063_2020-04-10.stac-item
2021-08-01 17:15:14	wofs_ls_168066_2021-08-01.stac-item
2022-05-21 19:55:34	wofs_ls_195051_2022-05-21.stac-item
2022-06-25 20:26:27	wofs_ls_200050_2022-06-25.stac-item
2022-07-13 18:44:41	wofs_ls_182074_2022-07-13.stac-item
2022-07-13 18:44:41	wofs_ls_182074_2022-07-13.stac-item
2022-08-03 17:17:03	wofs_ls_169055_2022-08-03.stac-item
2022-08-23 18:33:21	wofs_ls_181060_2022-08-23.stac-item
2022-11-25 18:45:32	wofs_ls_183059_2022-11-25.stac-item
2023-01-15 17:42:16	wofs_ls_172071_2023-01-15.stac-item
2023-01-25 18:15:45	wofs_ls_178062_2023-01-25.stac-item
2023-02-05 18:06:07	wofs_ls_175084_2023-02-05.stac-item
2023-02-11 17:22:15	wofs_ls_169067_2023-02-11.stac-item
2023-02-11 17:22:15	wofs_ls_169067_2023-02-11.stac-item
2024-02-22 18:06:29	wofs_ls_177055_2024-02-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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