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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
2013-04-12 17:28:19	wofs_ls_169079_2013-04-12.stac-item
2014-10-15 19:05:03	wofs_ls_186062_2014-10-15.stac-item
2014-11-20 16:59:47	wofs_ls_166058_2014-11-20.stac-item
2015-02-08 18:40:47	wofs_ls_182064_2015-02-08.stac-item
2015-05-02 17:31:43	wofs_ls_171063_2015-05-02.stac-item
2016-01-24 17:14:51	wofs_ls_168065_2016-01-24.stac-item
2016-02-19 17:52:32	wofs_ls_174067_2016-02-19.stac-item
2016-05-20 19:09:24	wofs_ls_187059_2016-05-20.stac-item
2016-09-02 17:23:20	wofs_ls_170055_2016-09-02.stac-item
2017-03-20 20:42:46	wofs_ls_203045_2017-03-20.stac-item
2019-01-28 17:41:40	wofs_ls_172071_2019-01-28.stac-item
2019-03-14 17:09:23	wofs_ls_167068_2019-03-14.stac-item
2019-08-23 18:34:29	wofs_ls_181063_2019-08-23.stac-item
2021-10-28 19:33:58	wofs_ls_192041_2021-10-28.stac-item
2022-01-01 20:23:25	wofs_ls_199057_2022-01-01.stac-item
2022-03-21 17:15:10	wofs_ls_168066_2022-03-21.stac-item
2022-04-10 19:16:12	wofs_ls_188060_2022-04-10.stac-item
2022-04-23 20:22:34	wofs_ls_199056_2022-04-23.stac-item
2022-07-11 17:17:23	wofs_ls_168072_2022-07-11.stac-item
2022-10-27 17:40:20	wofs_ls_172066_2022-10-27.stac-item
2023-01-21 16:15:17	wofs_ls_158070_2023-01-21.stac-item
2023-04-08 18:10:19	wofs_ls_177065_2023-04-08.stac-item
2024-01-21 16:34:09	wofs_ls_161071_2024-01-21.stac-item
2024-03-03 17:58:22	wofs_ls_175066_2024-03-03.stac-item
2024-03-26 17:14:02	wofs_ls_168063_2024-03-26.stac-item
2024-05-13 19:37:54	wofs_ls_192054_2024-05-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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