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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Instrument name:

Label:

Latitude range from:

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Longitude range from:

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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:

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Acquisition time range From

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37 results

Time (local)	Label
2013-09-15 17:38:53	wofs_ls_173043_2013-09-15.stac-item
2013-10-04 18:14:05	wofs_ls_178054_2013-10-04.stac-item
2014-06-04 18:41:32	wofs_ls_183051_2014-06-04.stac-item
2014-08-02 18:31:43	wofs_ls_180072_2014-08-02.stac-item
2014-10-11 17:55:39	wofs_ls_174074_2014-10-11.stac-item
2015-02-09 19:16:52	wofs_ls_189046_2015-02-09.stac-item
2015-09-13 18:30:39	wofs_ls_181054_2015-09-13.stac-item
2015-11-06 17:53:22	wofs_ls_175053_2015-11-06.stac-item
2016-05-22 18:50:17	wofs_ls_185042_2016-05-22.stac-item
2017-03-24 17:11:24	wofs_ls_167073_2017-03-24.stac-item
2017-07-14 17:06:01	wofs_ls_167059_2017-07-14.stac-item
2019-01-20 18:27:57	wofs_ls_180063_2019-01-20.stac-item
2019-02-19 20:07:33	wofs_ls_198034_2019-02-19.stac-item
2019-03-02 18:24:26	wofs_ls_179070_2019-03-02.stac-item
2019-03-15 16:14:57	wofs_ls_158071_2019-03-15.stac-item
2019-11-01 17:56:02	wofs_ls_175059_2019-11-01.stac-item
2021-03-03 20:15:34	wofs_ls_199038_2021-03-03.stac-item
2021-07-24 16:20:08	wofs_ls_160052_2021-07-24.stac-item
2021-10-19 19:46:31	wofs_ls_193057_2021-10-19.stac-item
2021-12-12 16:41:48	wofs_ls_163059_2021-12-12.stac-item
2021-12-22 20:32:38	wofs_ls_201049_2021-12-22.stac-item
2021-12-27 17:30:37	wofs_ls_172042_2021-12-27.stac-item
2022-02-01 17:13:03	wofs_ls_168060_2022-02-01.stac-item
2022-03-25 18:31:41	wofs_ls_180072_2022-03-25.stac-item
2022-03-30 17:12:08	wofs_ls_167074_2022-03-30.stac-item
2022-04-05 19:37:16	wofs_ls_193035_2022-04-05.stac-item
2022-04-10 16:52:21	wofs_ls_164071_2022-04-10.stac-item
2022-07-01 18:12:04	wofs_ls_178054_2022-07-01.stac-item
2022-07-19 15:39:45	wofs_ls_152074_2022-07-19.stac-item
2022-09-20 18:06:39	wofs_ls_177054_2022-09-20.stac-item
2022-10-30 17:20:48	wofs_ls_169063_2022-10-30.stac-item
2022-12-30 16:52:04	wofs_ls_164069_2022-12-30.stac-item
2023-04-10 18:49:26	wofs_ls_183071_2023-04-10.stac-item
2023-05-20 17:46:09	wofs_ls_175037_2023-05-20.stac-item
2023-08-09 18:33:59	wofs_ls_182047_2023-08-09.stac-item
2024-02-06 16:34:37	wofs_ls_161072_2024-02-06.stac-item
2024-02-29 16:40:38	wofs_ls_162072_2024-02-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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