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Cloud cover percentage [0, 100] from:

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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:

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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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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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33 results

Time (local)	Label
2013-05-12 17:32:27	wofs_ls_171058_2013-05-12.stac-item
2013-08-13 17:03:37	wofs_ls_166063_2013-08-13.stac-item
2014-02-25 18:12:54	wofs_ls_178054_2014-02-25.stac-item
2014-03-06 19:37:06	wofs_ls_193033_2014-03-06.stac-item
2014-03-09 17:02:10	wofs_ls_166063_2014-03-09.stac-item
2014-11-22 18:27:06	wofs_ls_180060_2014-11-22.stac-item
2015-04-03 18:03:35	wofs_ls_176065_2015-04-03.stac-item
2015-08-03 18:39:43	wofs_ls_182062_2015-08-03.stac-item
2015-08-18 17:57:46	wofs_ls_175065_2015-08-18.stac-item
2015-10-06 18:39:19	wofs_ls_182060_2015-10-06.stac-item
2015-10-30 19:18:30	wofs_ls_190034_2015-10-30.stac-item
2016-08-15 17:39:57	wofs_ls_172066_2016-08-15.stac-item
2017-11-27 17:57:24	wofs_ls_175063_2017-11-27.stac-item
2017-12-15 19:20:45	wofs_ls_189055_2017-12-15.stac-item
2018-03-17 19:44:03	wofs_ls_193053_2018-03-17.stac-item
2018-06-24 16:55:49	wofs_ls_166051_2018-06-24.stac-item
2019-10-15 17:16:46	wofs_ls_168069_2019-10-15.stac-item
2021-10-27 17:20:35	wofs_ls_169063_2021-10-27.stac-item
2022-01-25 17:08:04	wofs_ls_167063_2022-01-25.stac-item
2022-01-29 20:39:16	wofs_ls_203035_2022-01-29.stac-item
2022-04-27 17:30:17	wofs_ls_171058_2022-04-27.stac-item
2022-05-08 19:31:25	wofs_ls_192036_2022-05-08.stac-item
2022-05-09 17:13:40	wofs_ls_167078_2022-05-09.stac-item
2022-05-15 18:59:02	wofs_ls_185064_2022-05-15.stac-item
2022-06-08 17:15:04	wofs_ls_169050_2022-06-08.stac-item
2022-06-11 17:01:59	wofs_ls_166065_2022-06-11.stac-item
2022-07-29 18:34:33	wofs_ls_182048_2022-07-29.stac-item
2022-09-02 15:54:40	wofs_ls_155065_2022-09-02.stac-item
2022-11-23 19:45:50	wofs_ls_193055_2022-11-23.stac-item
2023-01-28 18:51:05	wofs_ls_183073_2023-01-28.stac-item
2023-02-22 17:02:43	wofs_ls_166065_2023-02-22.stac-item
2023-04-24 18:58:33	wofs_ls_185063_2023-04-24.stac-item
2024-03-09 18:54:31	wofs_ls_185052_2024-03-09.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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