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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
2013-11-29 17:29:57	wofs_ls_170068_2013-11-29.stac-item
2014-03-15 19:40:01	wofs_ls_192056_2014-03-15.stac-item
2014-03-18 18:39:34	wofs_ls_181075_2014-03-18.stac-item
2014-05-07 18:14:48	wofs_ls_179046_2014-05-07.stac-item
2014-11-11 17:06:26	wofs_ls_167059_2014-11-11.stac-item
2016-04-09 17:36:43	wofs_ls_172059_2016-04-09.stac-item
2016-05-14 16:32:39	wofs_ls_161069_2016-05-14.stac-item
2016-07-05 16:06:40	wofs_ls_157065_2016-07-05.stac-item
2017-01-07 16:45:16	wofs_ls_163068_2017-01-07.stac-item
2017-04-24 19:31:42	wofs_ls_192038_2017-04-24.stac-item
2017-06-11 18:01:54	wofs_ls_176060_2017-06-11.stac-item
2017-11-06 16:00:06	wofs_ls_156063_2017-11-06.stac-item
2018-04-19 18:43:22	wofs_ls_184041_2018-04-19.stac-item
2018-10-23 20:02:20	wofs_ls_197036_2018-10-23.stac-item
2019-01-21 17:25:33	wofs_ls_171046_2019-01-21.stac-item
2019-07-10 18:16:43	wofs_ls_177081_2019-07-10.stac-item
2020-09-29 19:00:21	wofs_ls_186050_2020-09-29.stac-item
2020-10-04 16:09:54	wofs_ls_157072_2020-10-04.stac-item
2021-05-28 19:45:24	wofs_ls_193056_2021-05-28.stac-item
2021-08-02 16:22:00	wofs_ls_159072_2021-08-02.stac-item
2021-10-28 19:39:57	wofs_ls_192056_2021-10-28.stac-item
2021-11-15 16:18:30	wofs_ls_158078_2021-11-15.stac-item
2021-12-16 17:50:20	wofs_ls_175045_2021-12-16.stac-item
2022-01-02 17:53:42	wofs_ls_174069_2022-01-02.stac-item
2022-03-19 18:12:52	wofs_ls_178056_2022-03-19.stac-item
2022-03-28 19:45:51	wofs_ls_193057_2022-03-28.stac-item
2022-08-02 18:14:16	wofs_ls_178059_2022-08-02.stac-item
2023-03-13 19:56:26	wofs_ls_195052_2023-03-13.stac-item
2023-04-01 17:18:32	wofs_ls_168075_2023-04-01.stac-item
2023-05-30 19:20:27	wofs_ls_189056_2023-05-30.stac-item
2023-07-15 17:02:19	wofs_ls_167050_2023-07-15.stac-item
2023-07-17 16:53:33	wofs_ls_165059_2023-07-17.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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