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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
2013-09-06 17:49:30	wofs_ls_174054_2013-09-06.stac-item
2013-12-24 17:27:59	wofs_ls_169079_2013-12-24.stac-item
2014-04-11 17:38:58	wofs_ls_173048_2014-04-11.stac-item
2017-03-14 19:45:49	wofs_ls_193057_2017-03-14.stac-item
2018-09-09 19:44:53	wofs_ls_193055_2018-09-09.stac-item
2019-06-13 18:26:45	wofs_ls_180060_2019-06-13.stac-item
2019-08-17 20:45:39	wofs_ls_203051_2019-08-17.stac-item
2020-02-11 17:26:35	wofs_ls_169079_2020-02-11.stac-item
2020-12-20 18:52:48	wofs_ls_184062_2020-12-20.stac-item
2021-07-08 19:37:49	wofs_ls_192052_2021-07-08.stac-item
2022-01-08 17:18:12	wofs_ls_168073_2022-01-08.stac-item
2022-02-03 18:39:58	wofs_ls_182061_2022-02-03.stac-item
2022-04-23 18:46:29	wofs_ls_183063_2022-04-23.stac-item
2022-07-02 18:57:19	wofs_ls_185059_2022-07-02.stac-item
2022-07-13 18:41:54	wofs_ls_182067_2022-07-13.stac-item
2022-08-04 19:38:25	wofs_ls_192053_2022-08-04.stac-item
2022-08-06 18:44:57	wofs_ls_182073_2022-08-06.stac-item
2022-09-03 19:50:31	wofs_ls_194052_2022-09-03.stac-item
2022-10-07 18:53:03	wofs_ls_184062_2022-10-07.stac-item
2022-12-06 19:07:23	wofs_ls_188036_2022-12-06.stac-item
2023-03-16 17:10:20	wofs_ls_168054_2023-03-16.stac-item
2023-03-26 16:59:39	wofs_ls_166058_2023-03-26.stac-item
2023-03-27 17:46:28	wofs_ls_173067_2023-03-27.stac-item
2023-07-12 19:03:37	wofs_ls_186060_2023-07-12.stac-item
2023-09-03 20:10:00	wofs_ls_197055_2023-09-03.stac-item
2024-03-03 17:57:10	wofs_ls_175063_2024-03-03.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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