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Cloud cover percentage [0, 100] from:

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

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

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:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

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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40 results

Time (local)	Label
2013-11-02 19:15:08	wofs_ls_189037_2013-11-02.stac-item
2014-05-10 20:25:22	wofs_ls_200048_2014-05-10.stac-item
2014-08-12 17:31:58	wofs_ls_170077_2014-08-12.stac-item
2015-06-03 17:39:15	wofs_ls_171082_2015-06-03.stac-item
2016-03-21 20:22:57	wofs_ls_199057_2016-03-21.stac-item
2016-05-17 18:30:54	wofs_ls_182040_2016-05-17.stac-item
2016-05-19 16:51:14	wofs_ls_164069_2016-05-19.stac-item
2016-09-04 17:20:34	wofs_ls_168079_2016-09-04.stac-item
2016-10-08 20:08:31	wofs_ls_198035_2016-10-08.stac-item
2016-11-09 17:04:20	wofs_ls_166069_2016-11-09.stac-item
2017-04-26 17:55:10	wofs_ls_174075_2017-04-26.stac-item
2017-10-04 16:50:54	wofs_ls_165051_2017-10-04.stac-item
2018-01-05 18:05:08	wofs_ls_176067_2018-01-05.stac-item
2018-02-17 17:46:40	wofs_ls_173068_2018-02-17.stac-item
2018-04-14 18:24:29	wofs_ls_181040_2018-04-14.stac-item
2018-07-06 20:37:37	wofs_ls_202049_2018-07-06.stac-item
2018-10-20 19:36:35	wofs_ls_192049_2018-10-20.stac-item
2019-01-30 20:40:17	wofs_ls_202054_2019-01-30.stac-item
2019-10-08 18:41:05	wofs_ls_183048_2019-10-08.stac-item
2019-11-07 18:51:27	wofs_ls_185043_2019-11-07.stac-item
2020-04-18 19:27:07	wofs_ls_190057_2020-04-18.stac-item
2020-05-04 19:24:35	wofs_ls_190051_2020-05-04.stac-item
2020-07-05 18:03:38	wofs_ls_176064_2020-07-05.stac-item
2020-08-30 17:18:54	wofs_ls_168075_2020-08-30.stac-item
2020-10-05 18:28:52	wofs_ls_180064_2020-10-05.stac-item
2021-03-04 16:14:07	wofs_ls_158068_2021-03-04.stac-item
2021-09-29 16:56:59	wofs_ls_165066_2021-09-29.stac-item
2021-12-10 20:11:33	wofs_ls_197058_2021-12-10.stac-item
2022-01-06 18:05:41	wofs_ls_178037_2022-01-06.stac-item
2022-04-07 18:05:08	wofs_ls_175083_2022-04-07.stac-item
2022-04-28 19:00:35	wofs_ls_186052_2022-04-28.stac-item
2022-08-06 17:58:22	wofs_ls_174081_2022-08-06.stac-item
2022-11-12 18:25:56	wofs_ls_180056_2022-11-12.stac-item
2023-03-18 17:05:32	wofs_ls_166073_2023-03-18.stac-item
2023-05-05 18:36:20	wofs_ls_182054_2023-05-05.stac-item
2023-05-05 19:27:12	wofs_ls_190057_2023-05-05.stac-item
2023-05-19 18:03:23	wofs_ls_176064_2023-05-19.stac-item
2023-05-24 20:44:24	wofs_ls_203050_2023-05-24.stac-item
2024-01-30 16:29:36	wofs_ls_160075_2024-01-30.stac-item
2024-02-05 18:59:57	wofs_ls_186049_2024-02-05.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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