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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
2013-04-22 17:48:39	wofs_ls_175037_2013-04-22.stac-item
2013-12-28 17:00:03	wofs_ls_165071_2013-12-28.stac-item
2016-03-17 17:29:56	wofs_ls_171057_2016-03-17.stac-item
2016-05-07 19:33:55	wofs_ls_192043_2016-05-07.stac-item
2017-10-23 17:25:27	wofs_ls_170060_2017-10-23.stac-item
2019-06-12 17:41:54	wofs_ls_173056_2019-06-12.stac-item
2019-07-21 16:18:08	wofs_ls_158078_2019-07-21.stac-item
2019-10-08 17:09:46	wofs_ls_167067_2019-10-08.stac-item
2020-06-27 17:10:32	wofs_ls_168055_2020-06-27.stac-item
2021-09-08 16:34:22	wofs_ls_162056_2021-09-08.stac-item
2022-03-04 16:33:56	wofs_ls_161071_2022-03-04.stac-item
2022-05-28 18:28:03	wofs_ls_180064_2022-05-28.stac-item
2022-07-01 16:31:59	wofs_ls_162051_2022-07-01.stac-item
2022-08-10 20:33:30	wofs_ls_202036_2022-08-10.stac-item
2022-09-30 17:53:37	wofs_ls_175053_2022-09-30.stac-item
2022-10-27 17:39:57	wofs_ls_172065_2022-10-27.stac-item
2022-10-29 17:33:57	wofs_ls_170081_2022-10-29.stac-item
2022-12-08 18:18:13	wofs_ls_178068_2022-12-08.stac-item
2022-12-16 18:19:02	wofs_ls_178070_2022-12-16.stac-item
2023-02-03 21:21:53	wofs_ls_209048_2023-02-03.stac-item
2023-02-26 18:12:51	wofs_ls_178055_2023-02-26.stac-item
2023-03-20 16:51:33	wofs_ls_164069_2023-03-20.stac-item
2023-04-12 20:05:59	wofs_ls_197046_2023-04-12.stac-item
2023-04-29 15:58:54	wofs_ls_156062_2023-04-29.stac-item
2023-05-19 17:09:39	wofs_ls_168054_2023-05-19.stac-item
2024-04-02 17:25:21	wofs_ls_169076_2024-04-02.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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