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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
2013-05-25 18:40:33	wofs_ls_182058_2013-05-25.stac-item
2013-09-15 17:50:50	wofs_ls_173073_2013-09-15.stac-item
2014-09-08 17:10:20	wofs_ls_167069_2014-09-08.stac-item
2014-10-08 17:17:58	wofs_ls_169057_2014-10-08.stac-item
2014-10-18 17:56:17	wofs_ls_175060_2014-10-18.stac-item
2014-10-26 18:43:41	wofs_ls_183055_2014-10-26.stac-item
2015-01-09 20:04:17	wofs_ls_196056_2015-01-09.stac-item
2015-07-22 19:42:42	wofs_ls_194034_2015-07-22.stac-item
2016-01-10 17:04:29	wofs_ls_166070_2016-01-10.stac-item
2016-02-16 18:51:47	wofs_ls_185045_2016-02-16.stac-item
2017-11-12 18:37:58	wofs_ls_182056_2017-11-12.stac-item
2018-01-09 17:39:35	wofs_ls_172065_2018-01-09.stac-item
2018-02-05 20:27:49	wofs_ls_201038_2018-02-05.stac-item
2018-10-21 17:03:17	wofs_ls_167052_2018-10-21.stac-item
2018-11-01 20:04:33	wofs_ls_196057_2018-11-01.stac-item
2021-08-19 17:01:23	wofs_ls_166062_2021-08-19.stac-item
2021-10-02 19:02:48	wofs_ls_186056_2021-10-02.stac-item
2022-01-12 18:20:48	wofs_ls_180044_2022-01-12.stac-item
2022-05-05 19:08:27	wofs_ls_187056_2022-05-05.stac-item
2022-06-17 19:36:22	wofs_ls_192049_2022-06-17.stac-item
2022-07-18 17:14:02	wofs_ls_169048_2022-07-18.stac-item
2022-10-09 17:03:22	wofs_ls_166066_2022-10-09.stac-item
2022-11-11 16:53:54	wofs_ls_165058_2022-11-11.stac-item
2023-01-12 17:55:12	wofs_ls_175057_2023-01-12.stac-item
2023-03-29 18:23:46	wofs_ls_179068_2023-03-29.stac-item
2024-02-18 17:48:56	wofs_ls_173073_2024-02-18.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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