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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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31 results

Time (local)	Label
2013-06-26 18:42:26	wofs_ls_182063_2013-06-26.stac-item
2013-10-14 17:15:03	wofs_ls_168061_2013-10-14.stac-item
2014-08-21 15:45:44	wofs_ls_153074_2014-08-21.stac-item
2014-09-27 15:59:55	wofs_ls_156063_2014-09-27.stac-item
2015-12-20 18:12:08	wofs_ls_179038_2015-12-20.stac-item
2016-01-04 19:13:17	wofs_ls_188052_2016-01-04.stac-item
2016-06-04 16:51:43	wofs_ls_164070_2016-06-04.stac-item
2016-10-18 17:44:13	wofs_ls_172076_2016-10-18.stac-item
2016-12-22 21:33:59	wofs_ls_211048_2016-12-22.stac-item
2017-05-13 16:56:50	wofs_ls_165068_2017-05-13.stac-item
2017-05-31 19:50:05	wofs_ls_195037_2017-05-31.stac-item
2018-09-25 19:41:00	wofs_ls_193045_2018-09-25.stac-item
2018-11-10 18:21:30	wofs_ls_179062_2018-11-10.stac-item
2018-12-31 17:10:16	wofs_ls_168054_2018-12-31.stac-item
2019-03-17 17:35:06	wofs_ls_172055_2019-03-17.stac-item
2020-02-01 16:38:23	wofs_ls_163051_2020-02-01.stac-item
2020-04-11 17:40:55	wofs_ls_173054_2020-04-11.stac-item
2021-03-19 20:15:25	wofs_ls_199038_2021-03-19.stac-item
2021-10-31 16:51:29	wofs_ls_165052_2021-10-31.stac-item
2021-12-18 18:32:39	wofs_ls_181058_2021-12-18.stac-item
2021-12-30 18:55:42	wofs_ls_185054_2021-12-30.stac-item
2022-01-05 19:58:18	wofs_ls_195056_2022-01-05.stac-item
2022-05-13 19:09:01	wofs_ls_187058_2022-05-13.stac-item
2022-06-15 19:47:07	wofs_ls_194045_2022-06-15.stac-item
2022-08-07 20:10:57	wofs_ls_197057_2022-08-07.stac-item
2023-01-15 18:30:51	wofs_ls_180069_2023-01-15.stac-item
2023-03-05 17:40:55	wofs_ls_171084_2023-03-05.stac-item
2023-06-01 15:56:18	wofs_ls_155071_2023-06-01.stac-item
2024-01-08 17:49:58	wofs_ls_174060_2024-01-08.stac-item
2024-01-23 17:12:38	wofs_ls_167075_2024-01-23.stac-item
2024-03-14 20:05:11	wofs_ls_196058_2024-03-14.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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