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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:

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The ground sample distance from:

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Sun azimuth 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:

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:

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Acquisition time range From

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36 results

Time (local)	Label
2013-04-30 20:23:45	wofs_ls_199054_2013-04-30.stac-item
2013-06-23 18:10:19	wofs_ls_177060_2013-06-23.stac-item
2014-03-19 17:38:21	wofs_ls_172061_2014-03-19.stac-item
2015-01-17 19:09:37	wofs_ls_188043_2015-01-17.stac-item
2015-03-16 19:47:53	wofs_ls_194047_2015-03-16.stac-item
2015-03-20 17:48:38	wofs_ls_174058_2015-03-20.stac-item
2015-06-28 20:34:18	wofs_ls_202040_2015-06-28.stac-item
2016-02-15 18:15:43	wofs_ls_178063_2016-02-15.stac-item
2016-05-31 18:53:19	wofs_ls_184065_2016-05-31.stac-item
2016-07-16 19:04:47	wofs_ls_186062_2016-07-16.stac-item
2016-10-12 16:39:36	wofs_ls_162069_2016-10-12.stac-item
2017-11-05 16:59:19	wofs_ls_165072_2017-11-05.stac-item
2018-03-04 20:08:18	wofs_ls_198036_2018-03-04.stac-item
2019-03-07 17:00:04	wofs_ls_166060_2019-03-07.stac-item
2019-03-24 20:56:14	wofs_ls_205048_2019-03-24.stac-item
2019-09-09 17:38:56	wofs_ls_172063_2019-09-09.stac-item
2019-11-14 20:41:16	wofs_ls_202055_2019-11-14.stac-item
2020-08-19 19:07:04	wofs_ls_187052_2020-08-19.stac-item
2020-08-27 18:27:40	wofs_ls_179077_2020-08-27.stac-item
2021-02-17 16:54:18	wofs_ls_165060_2021-02-17.stac-item
2021-04-23 19:13:37	wofs_ls_188054_2021-04-23.stac-item
2021-05-14 16:19:55	wofs_ls_159068_2021-05-14.stac-item
2021-12-17 18:37:11	wofs_ls_182054_2021-12-17.stac-item
2022-03-07 17:50:15	wofs_ls_174061_2022-03-07.stac-item
2022-08-21 17:07:37	wofs_ls_167062_2022-08-21.stac-item
2022-10-08 20:17:34	wofs_ls_199042_2022-10-08.stac-item
2023-01-07 18:27:24	wofs_ls_180060_2023-01-07.stac-item
2023-02-12 16:30:37	wofs_ls_160077_2023-02-12.stac-item
2023-03-27 20:09:26	wofs_ls_197054_2023-03-27.stac-item
2023-04-29 18:22:43	wofs_ls_180050_2023-04-29.stac-item
2023-05-17 18:12:11	wofs_ls_178055_2023-05-17.stac-item
2023-07-28 18:16:23	wofs_ls_178065_2023-07-28.stac-item
2023-08-27 19:59:03	wofs_ls_196043_2023-08-27.stac-item
2024-01-20 18:19:52	wofs_ls_178073_2024-01-20.stac-item
2024-05-07 19:21:59	wofs_ls_190044_2024-05-07.stac-item
2024-05-09 16:50:31	wofs_ls_164068_2024-05-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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