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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:

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

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Dataset URI:

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35 results

Time (local)	Label
2013-09-04 18:03:28	wofs_ls_176058_2013-09-04.stac-item
2014-03-14 15:46:11	wofs_ls_153074_2014-03-14.stac-item
2014-07-27 15:50:33	wofs_ls_154071_2014-07-27.stac-item
2014-11-17 19:43:06	wofs_ls_193049_2014-11-17.stac-item
2016-06-04 15:14:26	wofs_ls_148074_2016-06-04.stac-item
2016-08-23 16:46:36	wofs_ls_164056_2016-08-23.stac-item
2016-10-05 16:26:36	wofs_ls_161052_2016-10-05.stac-item
2017-03-20 15:56:29	wofs_ls_155071_2017-03-20.stac-item
2017-05-29 18:25:08	wofs_ls_181041_2017-05-29.stac-item
2017-07-16 18:36:33	wofs_ls_181069_2017-07-16.stac-item
2017-09-19 17:39:38	wofs_ls_172065_2017-09-19.stac-item
2017-10-24 19:45:12	wofs_ls_193054_2017-10-24.stac-item
2018-04-04 21:05:39	wofs_ls_207041_2018-04-04.stac-item
2018-09-23 18:26:49	wofs_ls_179076_2018-09-23.stac-item
2019-11-30 17:33:50	wofs_ls_170081_2019-11-30.stac-item
2021-02-26 18:18:11	wofs_ls_180038_2021-02-26.stac-item
2021-06-20 19:43:22	wofs_ls_194035_2021-06-20.stac-item
2021-10-10 21:27:58	wofs_ls_210048_2021-10-10.stac-item
2021-12-06 18:55:50	wofs_ls_185054_2021-12-06.stac-item
2021-12-24 20:20:40	wofs_ls_199050_2021-12-24.stac-item
2022-04-26 20:03:11	wofs_ls_196054_2022-04-26.stac-item
2022-05-01 17:11:55	wofs_ls_167074_2022-05-01.stac-item
2022-05-17 17:11:44	wofs_ls_167074_2022-05-17.stac-item
2022-10-29 17:29:58	wofs_ls_170071_2022-10-29.stac-item
2022-11-16 20:29:02	wofs_ls_200055_2022-11-16.stac-item
2022-11-27 16:56:40	wofs_ls_165065_2022-11-27.stac-item
2023-02-02 19:47:52	wofs_ls_194045_2023-02-02.stac-item
2023-02-16 18:29:11	wofs_ls_180065_2023-02-16.stac-item
2023-03-24 16:19:35	wofs_ls_160051_2023-03-24.stac-item
2023-04-10 18:41:04	wofs_ls_183050_2023-04-10.stac-item
2023-05-06 19:18:47	wofs_ls_189052_2023-05-06.stac-item
2023-07-14 15:39:05	wofs_ls_152074_2023-07-14.stac-item
2023-09-14 17:22:49	wofs_ls_170054_2023-09-14.stac-item
2024-04-05 16:14:10	wofs_ls_158068_2024-04-05.stac-item
2024-05-02 19:49:01	wofs_ls_195035_2024-05-02.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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