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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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36 results

Time (local)	Label
2013-07-29 16:12:46	wofs_ls_157075_2013-07-29.stac-item
2013-11-07 18:07:33	wofs_ls_176069_2013-11-07.stac-item
2014-01-10 19:40:22	wofs_ls_192055_2014-01-10.stac-item
2014-06-16 19:09:31	wofs_ls_187059_2014-06-16.stac-item
2014-07-23 17:58:07	wofs_ls_174081_2014-07-23.stac-item
2014-09-21 19:42:49	wofs_ls_194033_2014-09-21.stac-item
2016-01-31 17:25:24	wofs_ls_169076_2016-01-31.stac-item
2016-02-07 17:29:08	wofs_ls_170070_2016-02-07.stac-item
2016-04-24 20:07:08	wofs_ls_197049_2016-04-24.stac-item
2016-10-04 17:21:49	wofs_ls_170051_2016-10-04.stac-item
2016-10-25 19:20:55	wofs_ls_189055_2016-10-25.stac-item
2016-11-19 17:45:01	wofs_ls_172078_2016-11-19.stac-item
2017-06-21 20:13:32	wofs_ls_198049_2017-06-21.stac-item
2017-11-19 17:06:49	wofs_ls_167060_2017-11-19.stac-item
2018-05-11 18:17:14	wofs_ls_178069_2018-05-11.stac-item
2018-06-29 17:19:12	wofs_ls_169063_2018-06-29.stac-item
2018-07-04 19:05:54	wofs_ls_188036_2018-07-04.stac-item
2018-08-31 16:38:50	wofs_ls_162069_2018-08-31.stac-item
2018-11-15 17:02:21	wofs_ls_166065_2018-11-15.stac-item
2019-05-30 18:12:42	wofs_ls_178056_2019-05-30.stac-item
2019-10-20 17:41:17	wofs_ls_171084_2019-10-20.stac-item
2020-02-29 20:13:58	wofs_ls_199034_2020-02-29.stac-item
2020-08-15 17:52:04	wofs_ls_175050_2020-08-15.stac-item
2021-03-04 19:20:44	wofs_ls_190040_2021-03-04.stac-item
2021-05-14 16:21:07	wofs_ls_159071_2021-05-14.stac-item
2021-11-12 17:21:44	wofs_ls_170046_2021-11-12.stac-item
2022-01-07 17:14:50	wofs_ls_169049_2022-01-07.stac-item
2022-02-25 19:32:49	wofs_ls_192039_2022-02-25.stac-item
2022-05-04 17:36:49	wofs_ls_172059_2022-05-04.stac-item
2022-10-15 17:15:36	wofs_ls_168066_2022-10-15.stac-item
2022-11-05 17:39:19	wofs_ls_171079_2022-11-05.stac-item
2023-02-26 18:06:05	wofs_ls_178038_2023-02-26.stac-item
2023-04-14 16:39:50	wofs_ls_163056_2023-04-14.stac-item
2023-04-30 16:38:58	wofs_ls_163054_2023-04-30.stac-item
2023-06-08 18:27:32	wofs_ls_180063_2023-06-08.stac-item
2024-06-11 16:40:47	wofs_ls_163059_2024-06-11.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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