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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:

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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
2014-03-01 17:47:42	wofs_ls_174053_2014-03-01.stac-item
2014-07-03 16:39:05	wofs_ls_162069_2014-07-03.stac-item
2014-11-18 17:10:58	wofs_ls_168055_2014-11-18.stac-item
2014-11-27 20:16:36	wofs_ls_199040_2014-11-27.stac-item
2015-09-07 15:54:17	wofs_ls_155065_2015-09-07.stac-item
2015-09-29 16:52:39	wofs_ls_165056_2015-09-29.stac-item
2017-08-29 17:14:17	wofs_ls_169048_2017-08-29.stac-item
2017-12-05 18:38:04	wofs_ls_183041_2017-12-05.stac-item
2018-03-12 19:25:57	wofs_ls_190054_2018-03-12.stac-item
2018-07-11 19:17:43	wofs_ls_189050_2018-07-11.stac-item
2018-07-23 19:36:57	wofs_ls_193036_2018-07-23.stac-item
2018-07-29 17:30:35	wofs_ls_171060_2018-07-29.stac-item
2018-11-11 20:40:27	wofs_ls_202054_2018-11-11.stac-item
2019-01-30 18:54:38	wofs_ls_186037_2019-01-30.stac-item
2019-01-31 18:06:35	wofs_ls_177056_2019-01-31.stac-item
2019-02-07 19:52:02	wofs_ls_194057_2019-02-07.stac-item
2019-04-19 16:44:30	wofs_ls_163068_2019-04-19.stac-item
2020-02-04 17:12:51	wofs_ls_168060_2020-02-04.stac-item
2020-09-16 17:57:29	wofs_ls_175063_2020-09-16.stac-item
2020-10-16 19:37:40	wofs_ls_193035_2020-10-16.stac-item
2020-11-26 18:11:44	wofs_ls_176083_2020-11-26.stac-item
2021-04-27 17:11:10	wofs_ls_168057_2021-04-27.stac-item
2021-05-10 18:21:53	wofs_ls_179064_2021-05-10.stac-item
2021-06-05 18:54:02	wofs_ls_185051_2021-06-05.stac-item
2021-09-04 16:58:16	wofs_ls_166054_2021-09-04.stac-item
2021-11-17 17:37:02	wofs_ls_172058_2021-11-17.stac-item
2022-02-21 18:32:16	wofs_ls_180073_2022-02-21.stac-item
2022-03-27 21:27:54	wofs_ls_210049_2022-03-27.stac-item
2022-05-31 17:19:17	wofs_ls_169062_2022-05-31.stac-item
2022-05-31 17:19:17	wofs_ls_169062_2022-05-31.stac-item
2022-11-05 18:28:35	wofs_ls_179078_2022-11-05.stac-item
2022-12-20 19:25:34	wofs_ls_190051_2022-12-20.stac-item
2023-01-31 20:05:01	wofs_ls_196057_2023-01-31.stac-item
2023-04-05 18:32:37	wofs_ls_180075_2023-04-05.stac-item
2023-05-16 18:22:01	wofs_ls_179065_2023-05-16.stac-item
2024-04-13 17:47:49	wofs_ls_174056_2024-04-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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