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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:

User who indexed the dataset:

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Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

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:

The satellite relative orbit to (exclusive):

Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-05-13 18:17:43	wofs_ls_178063_2013-05-13.stac-item
2013-07-27 17:56:50	wofs_ls_175057_2013-07-27.stac-item
2014-02-25 19:52:11	wofs_ls_194055_2014-02-25.stac-item
2015-02-18 20:50:18	wofs_ls_204048_2015-02-18.stac-item
2015-12-21 17:28:04	wofs_ls_170067_2015-12-21.stac-item
2016-01-28 16:51:43	wofs_ls_164069_2016-01-28.stac-item
2016-04-09 17:39:07	wofs_ls_172065_2016-04-09.stac-item
2016-09-10 18:12:49	wofs_ls_178055_2016-09-10.stac-item
2016-11-13 18:06:09	wofs_ls_178038_2016-11-13.stac-item
2016-12-23 17:32:09	wofs_ls_170077_2016-12-23.stac-item
2017-09-16 17:05:07	wofs_ls_167056_2017-09-16.stac-item
2017-10-04 18:29:23	wofs_ls_181050_2017-10-04.stac-item
2018-06-10 16:44:30	wofs_ls_164054_2018-06-10.stac-item
2018-08-17 17:58:29	wofs_ls_176052_2018-08-17.stac-item
2019-02-14 18:18:55	wofs_ls_179056_2019-02-14.stac-item
2019-05-08 17:19:03	wofs_ls_168077_2019-05-08.stac-item
2019-11-04 16:45:39	wofs_ls_164053_2019-11-04.stac-item
2020-05-13 20:57:40	wofs_ls_205052_2020-05-13.stac-item
2020-10-03 20:14:55	wofs_ls_198051_2020-10-03.stac-item
2021-02-28 19:52:16	wofs_ls_194057_2021-02-28.stac-item
2021-09-12 19:27:49	wofs_ls_190057_2021-09-12.stac-item
2021-12-04 18:23:31	wofs_ls_179066_2021-12-04.stac-item
2021-12-04 18:28:42	wofs_ls_179079_2021-12-04.stac-item
2021-12-26 18:35:00	wofs_ls_181064_2021-12-26.stac-item
2022-03-22 20:14:39	wofs_ls_199036_2022-03-22.stac-item
2023-09-02 18:39:15	wofs_ls_182060_2023-09-02.stac-item
2024-04-07 20:03:02	wofs_ls_196054_2024-04-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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