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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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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:

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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35 results

Time (local)	Label
2013-12-07 16:40:30	wofs_ls_162068_2013-12-07.stac-item
2014-08-28 20:36:12	wofs_ls_202043_2014-08-28.stac-item
2014-09-28 16:48:23	wofs_ls_163076_2014-09-28.stac-item
2015-08-10 20:22:50	wofs_ls_199057_2015-08-10.stac-item
2016-03-29 18:00:07	wofs_ls_175071_2016-03-29.stac-item
2016-09-07 17:53:28	wofs_ls_173084_2016-09-07.stac-item
2017-01-10 18:46:16	wofs_ls_184046_2017-01-10.stac-item
2017-03-05 18:18:47	wofs_ls_178071_2017-03-05.stac-item
2017-07-16 16:56:52	wofs_ls_165067_2017-07-16.stac-item
2017-07-31 19:23:31	wofs_ls_190047_2017-07-31.stac-item
2017-09-18 18:32:52	wofs_ls_181059_2017-09-18.stac-item
2018-07-07 16:31:49	wofs_ls_161068_2018-07-07.stac-item
2018-11-05 19:39:02	wofs_ls_192055_2018-11-05.stac-item
2019-01-09 17:11:14	wofs_ls_167072_2019-01-09.stac-item
2019-03-23 17:06:22	wofs_ls_166076_2019-03-23.stac-item
2019-05-01 20:21:00	wofs_ls_199053_2019-05-01.stac-item
2019-09-16 17:43:10	wofs_ls_173058_2019-09-16.stac-item
2019-11-09 20:19:33	wofs_ls_199047_2019-11-09.stac-item
2020-06-17 19:43:58	wofs_ls_194037_2020-06-17.stac-item
2020-07-07 17:50:53	wofs_ls_174063_2020-07-07.stac-item
2020-07-18 20:41:00	wofs_ls_203040_2020-07-18.stac-item
2020-12-30 17:55:20	wofs_ls_174073_2020-12-30.stac-item
2021-11-16 16:59:22	wofs_ls_165072_2021-11-16.stac-item
2022-01-28 17:31:24	wofs_ls_172044_2022-01-28.stac-item
2022-05-25 19:28:51	wofs_ls_191046_2022-05-25.stac-item
2022-05-28 19:16:19	wofs_ls_188060_2022-05-28.stac-item
2022-05-31 17:16:05	wofs_ls_169054_2022-05-31.stac-item
2022-06-11 18:40:28	wofs_ls_182064_2022-06-11.stac-item
2022-10-26 20:54:30	wofs_ls_205041_2022-10-26.stac-item
2022-12-26 20:20:59	wofs_ls_200035_2022-12-26.stac-item
2023-01-12 19:33:41	wofs_ls_191056_2023-01-12.stac-item
2023-03-05 19:58:40	wofs_ls_195057_2023-03-05.stac-item
2023-04-25 18:03:20	wofs_ls_176064_2023-04-25.stac-item
2024-02-01 17:04:52	wofs_ls_166071_2024-02-01.stac-item
2024-05-07 17:55:27	wofs_ls_174075_2024-05-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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