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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):

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Derived product version number:

The ground sample distance from:

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Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

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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
2013-06-29 17:31:41	wofs_ls_171056_2013-06-29.stac-item
2013-10-21 20:35:21	wofs_ls_201052_2013-10-21.stac-item
2014-05-26 18:47:36	wofs_ls_184051_2014-05-26.stac-item
2014-12-02 18:56:14	wofs_ls_186040_2014-12-02.stac-item
2014-12-17 21:33:52	wofs_ls_211048_2014-12-17.stac-item
2015-01-05 18:43:21	wofs_ls_184039_2015-01-05.stac-item
2015-12-23 17:18:30	wofs_ls_168074_2015-12-23.stac-item
2016-02-23 20:38:25	wofs_ls_202049_2016-02-23.stac-item
2016-03-15 17:35:09	wofs_ls_173039_2016-03-15.stac-item
2017-08-01 16:58:11	wofs_ls_165070_2017-08-01.stac-item
2017-10-18 17:04:30	wofs_ls_167054_2017-10-18.stac-item
2017-12-20 16:27:07	wofs_ls_160069_2017-12-20.stac-item
2018-05-07 18:38:00	wofs_ls_182059_2018-05-07.stac-item
2019-01-22 19:52:04	wofs_ls_194057_2019-01-22.stac-item
2019-09-08 20:05:04	wofs_ls_197042_2019-09-08.stac-item
2019-11-23 18:56:10	wofs_ls_185055_2019-11-23.stac-item
2020-01-13 17:50:50	wofs_ls_174062_2020-01-13.stac-item
2021-11-09 18:26:56	wofs_ls_180059_2021-11-09.stac-item
2021-12-15 20:21:16	wofs_ls_200036_2021-12-15.stac-item
2021-12-29 17:31:49	wofs_ls_170076_2021-12-29.stac-item
2021-12-30 17:25:35	wofs_ls_169076_2021-12-30.stac-item
2022-01-10 17:53:18	wofs_ls_174068_2022-01-10.stac-item
2022-02-23 16:39:24	wofs_ls_162069_2022-02-23.stac-item
2022-04-16 18:37:57	wofs_ls_182057_2022-04-16.stac-item
2022-05-01 19:32:19	wofs_ls_191054_2022-05-01.stac-item
2022-05-19 16:51:46	wofs_ls_165055_2022-05-19.stac-item
2022-08-14 18:39:30	wofs_ls_182060_2022-08-14.stac-item
2023-01-01 18:06:38	wofs_ls_178039_2023-01-01.stac-item
2023-01-05 16:14:59	wofs_ls_158069_2023-01-05.stac-item
2023-02-03 16:28:01	wofs_ls_161055_2023-02-03.stac-item
2023-08-01 17:04:54	wofs_ls_166072_2023-08-01.stac-item
2023-08-29 17:29:27	wofs_ls_170071_2023-08-29.stac-item
2024-02-28 18:20:46	wofs_ls_179060_2024-02-28.stac-item
2024-04-08 19:54:26	wofs_ls_195047_2024-04-08.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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