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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

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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):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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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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40 results

Time (local)	Label
2013-08-07 16:01:49	wofs_ls_156063_2013-08-07.stac-item
2014-05-10 18:42:06	wofs_ls_184037_2014-05-10.stac-item
2014-07-01 18:32:18	wofs_ls_180074_2014-07-01.stac-item
2014-07-25 17:31:00	wofs_ls_172044_2014-07-25.stac-item
2014-11-09 17:19:59	wofs_ls_169062_2014-11-09.stac-item
2015-08-28 18:38:06	wofs_ls_181073_2015-08-28.stac-item
2016-02-29 16:52:44	wofs_ls_164072_2016-02-29.stac-item
2016-09-24 18:29:58	wofs_ls_180067_2016-09-24.stac-item
2016-09-28 17:57:16	wofs_ls_176047_2016-09-28.stac-item
2017-01-15 20:41:17	wofs_ls_203040_2017-01-15.stac-item
2017-11-14 16:47:31	wofs_ls_164058_2017-11-14.stac-item
2017-11-26 20:21:09	wofs_ls_200036_2017-11-26.stac-item
2018-09-27 19:25:28	wofs_ls_191037_2018-09-27.stac-item
2018-11-17 16:52:47	wofs_ls_164072_2018-11-17.stac-item
2019-04-15 17:10:27	wofs_ls_167071_2019-04-15.stac-item
2019-07-09 17:24:40	wofs_ls_170059_2019-07-09.stac-item
2019-09-19 19:44:36	wofs_ls_194037_2019-09-19.stac-item
2019-10-09 19:23:57	wofs_ls_190047_2019-10-09.stac-item
2019-12-13 16:54:56	wofs_ls_165061_2019-12-13.stac-item
2020-04-17 20:17:11	wofs_ls_199043_2020-04-17.stac-item
2020-05-04 20:59:53	wofs_ls_206042_2020-05-04.stac-item
2020-06-20 20:22:52	wofs_ls_199057_2020-06-20.stac-item
2020-11-29 18:31:05	wofs_ls_181054_2020-11-29.stac-item
2021-03-19 15:32:19	wofs_ls_151072_2021-03-19.stac-item
2021-10-13 18:43:54	wofs_ls_183055_2021-10-13.stac-item
2021-12-23 16:30:00	wofs_ls_160076_2021-12-23.stac-item
2021-12-27 17:35:24	wofs_ls_172054_2021-12-27.stac-item
2022-05-18 21:01:11	wofs_ls_206045_2022-05-18.stac-item
2022-05-27 16:06:18	wofs_ls_157065_2022-05-27.stac-item
2022-06-18 17:11:51	wofs_ls_167074_2022-06-18.stac-item
2022-07-31 16:51:42	wofs_ls_164069_2022-07-31.stac-item
2022-09-24 16:51:00	wofs_ls_165051_2022-09-24.stac-item
2022-09-27 20:39:41	wofs_ls_202051_2022-09-27.stac-item
2023-01-02 16:26:47	wofs_ls_161052_2023-01-02.stac-item
2023-01-02 18:50:41	wofs_ls_185041_2023-01-02.stac-item
2023-02-20 17:16:19	wofs_ls_168068_2023-02-20.stac-item
2023-04-19 18:38:25	wofs_ls_182059_2023-04-19.stac-item
2023-05-12 17:56:05	wofs_ls_175061_2023-05-12.stac-item
2023-09-05 17:39:17	wofs_ls_171080_2023-09-05.stac-item
2024-02-07 17:17:29	wofs_ls_168071_2024-02-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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