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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:

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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:

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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29 results

Time (local)	Label
2013-09-18 18:14:32	wofs_ls_178055_2013-09-18.stac-item
2014-02-18 16:27:57	wofs_ls_161054_2014-02-18.stac-item
2014-09-01 17:06:06	wofs_ls_166074_2014-09-01.stac-item
2015-09-01 18:16:11	wofs_ls_177080_2015-09-01.stac-item
2016-01-26 17:07:16	wofs_ls_166077_2016-01-26.stac-item
2016-09-01 18:27:44	wofs_ls_179077_2016-09-01.stac-item
2016-10-01 20:09:27	wofs_ls_197053_2016-10-01.stac-item
2017-04-06 19:52:12	wofs_ls_194058_2017-04-06.stac-item
2017-09-08 16:20:04	wofs_ls_159067_2017-09-08.stac-item
2018-05-02 16:37:51	wofs_ls_163052_2018-05-02.stac-item
2018-12-09 17:58:55	wofs_ls_174083_2018-12-09.stac-item
2019-09-13 17:15:50	wofs_ls_168067_2019-09-13.stac-item
2021-11-13 17:53:25	wofs_ls_176037_2021-11-13.stac-item
2022-01-23 16:32:05	wofs_ls_161066_2022-01-23.stac-item
2022-02-26 17:07:28	wofs_ls_167062_2022-02-26.stac-item
2022-02-26 17:07:28	wofs_ls_167062_2022-02-26.stac-item
2022-04-22 17:20:54	wofs_ls_168081_2022-04-22.stac-item
2022-07-18 18:10:15	wofs_ls_177064_2022-07-18.stac-item
2022-08-07 20:10:57	wofs_ls_197057_2022-08-07.stac-item
2022-09-21 17:13:50	wofs_ls_168061_2022-09-21.stac-item
2022-09-29 20:27:43	wofs_ls_200052_2022-09-29.stac-item
2022-11-22 18:17:26	wofs_ls_178066_2022-11-22.stac-item
2023-01-07 15:15:12	wofs_ls_148074_2023-01-07.stac-item
2023-05-22 20:01:10	wofs_ls_197034_2023-05-22.stac-item
2023-08-16 17:06:32	wofs_ls_167060_2023-08-16.stac-item
2023-09-01 16:19:54	wofs_ls_159067_2023-09-01.stac-item
2024-01-14 20:28:41	wofs_ls_200055_2024-01-14.stac-item
2024-04-14 16:06:18	wofs_ls_157064_2024-04-14.stac-item
2024-04-22 20:07:18	wofs_ls_197049_2024-04-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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