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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

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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):

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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:

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
2013-05-24 17:58:05	wofs_ls_175060_2013-05-24.stac-item
2013-12-31 15:50:27	wofs_ls_154067_2013-12-31.stac-item
2014-03-26 17:47:33	wofs_ls_173069_2014-03-26.stac-item
2014-08-19 17:39:46	wofs_ls_171081_2014-08-19.stac-item
2014-10-25 18:11:36	wofs_ls_176083_2014-10-25.stac-item
2015-07-13 19:55:36	wofs_ls_195051_2015-07-13.stac-item
2015-07-29 19:53:17	wofs_ls_195045_2015-07-29.stac-item
2015-11-19 17:20:30	wofs_ls_170048_2015-11-19.stac-item
2015-12-08 18:05:44	wofs_ls_175084_2015-12-08.stac-item
2016-05-05 19:51:53	wofs_ls_194057_2016-05-05.stac-item
2016-08-18 18:04:54	wofs_ls_177051_2016-08-18.stac-item
2016-10-10 19:56:10	wofs_ls_196035_2016-10-10.stac-item
2016-11-11 20:05:21	wofs_ls_196058_2016-11-11.stac-item
2016-12-19 21:01:54	wofs_ls_206045_2016-12-19.stac-item
2017-02-23 20:47:35	wofs_ls_204041_2017-02-23.stac-item
2017-12-26 18:57:50	wofs_ls_186044_2017-12-26.stac-item
2017-12-29 16:23:42	wofs_ls_159076_2017-12-29.stac-item
2018-01-01 19:56:25	wofs_ls_196036_2018-01-01.stac-item
2018-02-20 21:28:08	wofs_ls_210050_2018-02-20.stac-item
2019-01-22 19:44:54	wofs_ls_194039_2019-01-22.stac-item
2019-07-06 18:33:50	wofs_ls_181062_2019-07-06.stac-item
2020-02-18 17:29:57	wofs_ls_170072_2020-02-18.stac-item
2020-09-26 16:54:56	wofs_ls_165061_2020-09-26.stac-item
2021-05-16 16:09:11	wofs_ls_157072_2021-05-16.stac-item
2022-01-17 17:06:25	wofs_ls_167059_2022-01-17.stac-item
2022-04-23 17:46:38	wofs_ls_175037_2022-04-23.stac-item
2022-06-10 17:12:42	wofs_ls_167075_2022-06-10.stac-item
2022-10-09 16:17:20	wofs_ls_158075_2022-10-09.stac-item
2022-12-16 17:29:58	wofs_ls_170071_2022-12-16.stac-item
2023-03-03 17:42:56	wofs_ls_173058_2023-03-03.stac-item
2023-03-04 17:41:43	wofs_ls_172070_2023-03-04.stac-item
2023-05-08 17:40:16	wofs_ls_171084_2023-05-08.stac-item
2023-06-15 18:29:48	wofs_ls_181053_2023-06-15.stac-item
2023-08-25 18:44:05	wofs_ls_182072_2023-08-25.stac-item
2024-01-19 15:56:56	wofs_ls_155071_2024-01-19.stac-item
2024-03-26 18:53:19	wofs_ls_184064_2024-03-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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