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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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32 results

Time (local)	Label
2013-07-24 17:24:19	wofs_ls_170053_2013-07-24.stac-item
2014-08-03 15:58:25	wofs_ls_155075_2014-08-03.stac-item
2014-10-12 18:31:45	wofs_ls_181056_2014-10-12.stac-item
2014-11-27 17:04:48	wofs_ls_167055_2014-11-27.stac-item
2015-02-27 19:06:48	wofs_ls_187052_2015-02-27.stac-item
2015-03-28 20:16:28	wofs_ls_198057_2015-03-28.stac-item
2015-10-05 17:57:39	wofs_ls_175064_2015-10-05.stac-item
2016-02-02 17:12:38	wofs_ls_167075_2016-02-02.stac-item
2016-02-19 19:27:26	wofs_ls_190057_2016-02-19.stac-item
2016-07-23 20:44:18	wofs_ls_203048_2016-07-23.stac-item
2016-12-16 18:52:08	wofs_ls_185045_2016-12-16.stac-item
2017-03-26 20:03:15	wofs_ls_197039_2017-03-26.stac-item
2017-12-17 19:01:37	wofs_ls_187038_2017-12-17.stac-item
2018-05-03 17:23:05	wofs_ls_170057_2018-05-03.stac-item
2019-11-17 16:21:53	wofs_ls_159071_2019-11-17.stac-item
2020-01-13 19:18:58	wofs_ls_190035_2020-01-13.stac-item
2020-03-02 20:03:12	wofs_ls_197038_2020-03-02.stac-item
2020-08-08 21:03:37	wofs_ls_206050_2020-08-08.stac-item
2021-03-08 17:23:52	wofs_ls_170057_2021-03-08.stac-item
2021-08-26 18:44:29	wofs_ls_183057_2021-08-26.stac-item
2021-12-08 18:41:28	wofs_ls_183049_2021-12-08.stac-item
2022-01-27 17:36:39	wofs_ls_173042_2022-01-27.stac-item
2022-01-31 17:24:17	wofs_ls_169073_2022-01-31.stac-item
2022-03-04 17:59:16	wofs_ls_177037_2022-03-04.stac-item
2022-03-10 18:25:07	wofs_ls_179071_2022-03-10.stac-item
2022-05-11 17:44:31	wofs_ls_173063_2022-05-11.stac-item
2022-06-02 17:10:55	wofs_ls_167072_2022-06-02.stac-item
2022-12-13 16:56:41	wofs_ls_165065_2022-12-13.stac-item
2022-12-13 18:24:25	wofs_ls_181037_2022-12-13.stac-item
2023-01-30 17:42:52	wofs_ls_173057_2023-01-30.stac-item
2023-03-09 18:46:15	wofs_ls_183062_2023-03-09.stac-item
2023-06-14 19:27:00	wofs_ls_190057_2023-06-14.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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