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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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33 results

Time (local)	Label
2013-06-24 17:11:55	wofs_ls_168053_2013-06-24.stac-item
2013-09-10 17:24:45	wofs_ls_170054_2013-09-10.stac-item
2013-11-22 20:33:56	wofs_ls_201049_2013-11-22.stac-item
2014-09-22 17:17:52	wofs_ls_169057_2014-09-22.stac-item
2015-06-27 18:27:41	wofs_ls_179079_2015-06-27.stac-item
2015-09-20 18:43:16	wofs_ls_182070_2015-09-20.stac-item
2015-12-30 17:25:03	wofs_ls_169075_2015-12-30.stac-item
2016-02-15 19:52:36	wofs_ls_194058_2016-02-15.stac-item
2016-07-22 18:25:44	wofs_ls_180057_2016-07-22.stac-item
2016-11-23 20:29:42	wofs_ls_200057_2016-11-23.stac-item
2017-03-24 20:14:26	wofs_ls_199036_2017-03-24.stac-item
2017-06-19 17:21:41	wofs_ls_168083_2017-06-19.stac-item
2017-12-27 18:01:48	wofs_ls_177043_2017-12-27.stac-item
2018-04-25 19:45:31	wofs_ls_194042_2018-04-25.stac-item
2018-10-22 17:45:21	wofs_ls_174049_2018-10-22.stac-item
2020-07-10 18:19:48	wofs_ls_179058_2020-07-10.stac-item
2020-12-15 20:11:09	wofs_ls_197057_2020-12-15.stac-item
2020-12-23 19:21:17	wofs_ls_189056_2020-12-23.stac-item
2021-02-13 17:28:13	wofs_ls_169083_2021-02-13.stac-item
2021-10-14 16:14:35	wofs_ls_158068_2021-10-14.stac-item
2022-01-13 18:19:00	wofs_ls_179055_2022-01-13.stac-item
2022-02-16 18:13:46	wofs_ls_177073_2022-02-16.stac-item
2022-03-04 19:37:45	wofs_ls_193036_2022-03-04.stac-item
2022-03-15 18:29:40	wofs_ls_182036_2022-03-15.stac-item
2022-03-30 15:32:27	wofs_ls_151072_2022-03-30.stac-item
2022-09-22 17:08:56	wofs_ls_167065_2022-09-22.stac-item
2022-09-22 17:10:32	wofs_ls_167069_2022-09-22.stac-item
2022-11-14 19:51:38	wofs_ls_194054_2022-11-14.stac-item
2022-11-24 17:53:31	wofs_ls_176037_2022-11-24.stac-item
2023-04-17 17:17:30	wofs_ls_168073_2023-04-17.stac-item
2023-05-11 17:53:34	wofs_ls_176040_2023-05-11.stac-item
2023-08-03 19:15:26	wofs_ls_188058_2023-08-03.stac-item
2023-08-15 17:57:45	wofs_ls_176049_2023-08-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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