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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

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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:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Label:

Latitude range from:

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Longitude range from:

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Full metadata document:

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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:

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Acquisition time range From

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34 results

Time (local)	Label
2013-05-02 18:32:08	wofs_ls_181053_2013-05-02.stac-item
2014-01-06 20:04:46	wofs_ls_196054_2014-01-06.stac-item
2015-01-10 17:31:22	wofs_ls_171060_2015-01-10.stac-item
2015-05-05 18:09:45	wofs_ls_176081_2015-05-05.stac-item
2015-08-07 16:34:08	wofs_ls_162057_2015-08-07.stac-item
2015-09-29 18:31:56	wofs_ls_181057_2015-09-29.stac-item
2015-10-16 20:51:17	wofs_ls_204050_2015-10-16.stac-item
2016-01-01 17:11:29	wofs_ls_167072_2016-01-01.stac-item
2016-01-15 15:46:08	wofs_ls_153075_2016-01-15.stac-item
2016-02-12 17:44:03	wofs_ls_173061_2016-02-12.stac-item
2016-08-19 20:26:16	wofs_ls_200049_2016-08-19.stac-item
2016-08-23 18:23:05	wofs_ls_180050_2016-08-23.stac-item
2016-11-15 19:40:15	wofs_ls_192057_2016-11-15.stac-item
2016-11-26 17:49:36	wofs_ls_173074_2016-11-26.stac-item
2017-11-04 16:14:03	wofs_ls_158067_2017-11-04.stac-item
2018-05-19 18:54:37	wofs_ls_186039_2018-05-19.stac-item
2019-04-17 18:34:34	wofs_ls_181065_2019-04-17.stac-item
2019-04-29 17:19:34	wofs_ls_169063_2019-04-29.stac-item
2020-09-05 18:13:10	wofs_ls_178056_2020-09-05.stac-item
2020-10-11 19:18:43	wofs_ls_190034_2020-10-11.stac-item
2020-12-25 20:46:13	wofs_ls_203052_2020-12-25.stac-item
2021-04-06 16:53:11	wofs_ls_165058_2021-04-06.stac-item
2021-10-26 19:44:20	wofs_ls_194036_2021-10-26.stac-item
2021-12-21 18:19:15	wofs_ls_178071_2021-12-21.stac-item
2022-03-18 15:53:32	wofs_ls_155063_2022-03-18.stac-item
2022-09-02 17:31:09	wofs_ls_171059_2022-09-02.stac-item
2022-10-27 17:47:07	wofs_ls_172083_2022-10-27.stac-item
2023-02-22 17:06:42	wofs_ls_166075_2023-02-22.stac-item
2023-03-01 19:33:23	wofs_ls_191056_2023-03-01.stac-item
2023-08-10 20:57:19	wofs_ls_205050_2023-08-10.stac-item
2023-08-27 17:33:49	wofs_ls_172051_2023-08-27.stac-item
2024-01-13 18:57:20	wofs_ls_185058_2024-01-13.stac-item
2024-03-25 17:13:50	wofs_ls_169048_2024-03-25.stac-item
2024-04-11 17:08:44	wofs_ls_168050_2024-04-11.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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