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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

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Dataset URI:

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32 results

Time (local)	Label
2013-05-21 17:35:57	wofs_ls_170082_2013-05-21.stac-item
2013-08-20 17:12:13	wofs_ls_167069_2013-08-20.stac-item
2013-10-13 18:08:17	wofs_ls_177055_2013-10-13.stac-item
2014-01-28 17:52:57	wofs_ls_174065_2014-01-28.stac-item
2014-08-12 15:48:42	wofs_ls_154066_2014-08-12.stac-item
2014-12-16 17:44:24	wofs_ls_172077_2014-12-16.stac-item
2015-01-20 16:31:30	wofs_ls_161065_2015-01-20.stac-item
2015-02-09 17:41:34	wofs_ls_173055_2015-02-09.stac-item
2015-12-30 17:21:04	wofs_ls_169065_2015-12-30.stac-item
2016-08-05 18:44:07	wofs_ls_182072_2016-08-05.stac-item
2016-10-26 20:04:59	wofs_ls_196057_2016-10-26.stac-item
2017-03-01 18:41:09	wofs_ls_182065_2017-03-01.stac-item
2017-08-31 17:07:30	wofs_ls_167062_2017-08-31.stac-item
2017-12-27 18:11:22	wofs_ls_177067_2017-12-27.stac-item
2018-01-22 18:47:52	wofs_ls_183066_2018-01-22.stac-item
2018-10-19 20:31:01	wofs_ls_201046_2018-10-19.stac-item
2019-02-01 17:16:32	wofs_ls_168070_2019-02-01.stac-item
2019-05-13 19:10:09	wofs_ls_187061_2019-05-13.stac-item
2020-08-24 16:14:16	wofs_ls_158068_2020-08-24.stac-item
2020-09-15 18:42:45	wofs_ls_184037_2020-09-15.stac-item
2020-11-24 19:43:26	wofs_ls_194034_2020-11-24.stac-item
2021-04-30 17:47:37	wofs_ls_173071_2021-04-30.stac-item
2021-05-31 17:02:33	wofs_ls_166066_2021-05-31.stac-item
2021-12-27 19:17:04	wofs_ls_188061_2021-12-27.stac-item
2022-01-19 18:36:55	wofs_ls_181069_2022-01-19.stac-item
2022-05-05 16:40:23	wofs_ls_163057_2022-05-05.stac-item
2022-05-15 18:54:38	wofs_ls_185053_2022-05-15.stac-item
2022-07-19 19:37:00	wofs_ls_192050_2022-07-19.stac-item
2023-01-23 18:28:05	wofs_ls_180062_2023-01-23.stac-item
2023-03-17 17:02:22	wofs_ls_167049_2023-03-17.stac-item
2023-03-22 16:39:09	wofs_ls_162069_2023-03-22.stac-item
2023-08-06 20:32:06	wofs_ls_201049_2023-08-06.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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