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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
2013-07-29 17:55:15	wofs_ls_173084_2013-07-29.stac-item
2015-01-20 18:08:23	wofs_ls_177060_2015-01-20.stac-item
2015-02-19 19:51:29	wofs_ls_195040_2015-02-19.stac-item
2015-07-07 17:14:27	wofs_ls_169050_2015-07-07.stac-item
2016-06-30 17:21:23	wofs_ls_170051_2016-06-30.stac-item
2016-09-27 17:16:00	wofs_ls_169052_2016-09-27.stac-item
2017-07-13 18:01:38	wofs_ls_176059_2017-07-13.stac-item
2017-11-19 18:48:54	wofs_ls_183068_2017-11-19.stac-item
2018-10-22 17:52:08	wofs_ls_174066_2018-10-22.stac-item
2019-02-05 16:51:49	wofs_ls_164070_2019-02-05.stac-item
2019-06-27 20:14:53	wofs_ls_198052_2019-06-27.stac-item
2020-04-04 19:07:41	wofs_ls_188039_2020-04-04.stac-item
2020-06-18 17:17:26	wofs_ls_169057_2020-06-18.stac-item
2020-12-04 15:39:50	wofs_ls_152074_2020-12-04.stac-item
2021-02-13 18:59:31	wofs_ls_185064_2021-02-13.stac-item
2021-07-21 15:54:00	wofs_ls_155064_2021-07-21.stac-item
2021-08-19 20:08:00	wofs_ls_198034_2021-08-19.stac-item
2021-11-07 20:09:49	wofs_ls_198038_2021-11-07.stac-item
2021-11-13 19:39:52	wofs_ls_192056_2021-11-13.stac-item
2022-03-06 19:25:23	wofs_ls_191036_2022-03-06.stac-item
2022-03-21 17:12:22	wofs_ls_168059_2022-03-21.stac-item
2022-04-12 18:16:27	wofs_ls_178065_2022-04-12.stac-item
2022-08-15 17:38:42	wofs_ls_173047_2022-08-15.stac-item
2022-09-08 18:24:58	wofs_ls_181039_2022-09-08.stac-item
2022-10-01 20:12:58	wofs_ls_198046_2022-10-01.stac-item
2022-11-25 19:29:30	wofs_ls_191045_2022-11-25.stac-item
2022-11-29 19:58:28	wofs_ls_195056_2022-11-29.stac-item
2022-12-06 18:18:13	wofs_ls_180037_2022-12-06.stac-item
2022-12-06 18:28:11	wofs_ls_180062_2022-12-06.stac-item
2023-02-19 18:12:22	wofs_ls_177069_2023-02-19.stac-item
2023-03-25 17:06:26	wofs_ls_167060_2023-03-25.stac-item
2023-05-20 17:57:19	wofs_ls_175065_2023-05-20.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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