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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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Instrument name:

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
2013-04-12 20:28:57	wofs_ls_201036_2013-04-12.stac-item
2013-09-19 20:32:41	wofs_ls_201045_2013-09-19.stac-item
2014-06-19 16:27:26	wofs_ls_160071_2014-06-19.stac-item
2014-11-29 18:34:07	wofs_ls_181062_2014-11-29.stac-item
2015-08-01 18:52:53	wofs_ls_184064_2015-08-01.stac-item
2015-11-17 17:33:15	wofs_ls_172049_2015-11-17.stac-item
2016-01-28 20:04:18	wofs_ls_196056_2016-01-28.stac-item
2016-02-08 21:21:23	wofs_ls_209048_2016-02-08.stac-item
2016-07-02 18:50:19	wofs_ls_184057_2016-07-02.stac-item
2017-09-26 17:44:17	wofs_ls_173061_2017-09-26.stac-item
2017-12-05 18:44:50	wofs_ls_183058_2017-12-05.stac-item
2018-09-07 18:15:34	wofs_ls_179048_2018-09-07.stac-item
2019-03-21 17:14:45	wofs_ls_168066_2019-03-21.stac-item
2019-04-30 19:29:46	wofs_ls_192033_2019-04-30.stac-item
2019-06-30 17:28:50	wofs_ls_171054_2019-06-30.stac-item
2020-04-03 20:10:53	wofs_ls_197058_2020-04-03.stac-item
2020-05-20 16:13:36	wofs_ls_158068_2020-05-20.stac-item
2020-06-14 19:18:13	wofs_ls_189050_2020-06-14.stac-item
2020-07-10 18:20:12	wofs_ls_179059_2020-07-10.stac-item
2020-08-20 19:52:20	wofs_ls_194057_2020-08-20.stac-item
2021-02-02 19:16:54	wofs_ls_188061_2021-02-02.stac-item
2021-11-09 18:49:32	wofs_ls_183072_2021-11-09.stac-item
2022-02-04 17:42:45	wofs_ls_173057_2022-02-04.stac-item
2022-06-03 17:06:02	wofs_ls_166074_2022-06-03.stac-item
2022-07-24 18:21:31	wofs_ls_179062_2022-07-24.stac-item
2022-07-30 18:33:08	wofs_ls_181059_2022-07-30.stac-item
2022-08-04 17:12:50	wofs_ls_168059_2022-08-04.stac-item
2022-08-22 16:57:46	wofs_ls_166052_2022-08-22.stac-item
2022-11-12 16:46:15	wofs_ls_164054_2022-11-12.stac-item
2023-01-06 16:07:15	wofs_ls_157065_2023-01-06.stac-item
2023-01-24 18:24:19	wofs_ls_179068_2023-01-24.stac-item
2023-02-10 19:43:37	wofs_ls_194034_2023-02-10.stac-item
2023-05-12 16:23:34	wofs_ls_159077_2023-05-12.stac-item
2023-06-17 20:39:15	wofs_ls_203037_2023-06-17.stac-item
2023-07-31 16:21:38	wofs_ls_159072_2023-07-31.stac-item
2024-02-17 17:04:28	wofs_ls_166070_2024-02-17.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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