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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:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

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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32 results

Time (local)	Label
2013-06-12 16:47:40	wofs_ls_164054_2013-06-12.stac-item
2014-08-07 17:13:24	wofs_ls_167077_2014-08-07.stac-item
2015-03-24 17:23:29	wofs_ls_170057_2015-03-24.stac-item
2015-05-31 17:00:43	wofs_ls_166063_2015-05-31.stac-item
2015-06-30 17:18:09	wofs_ls_168075_2015-06-30.stac-item
2015-08-18 17:57:22	wofs_ls_175064_2015-08-18.stac-item
2016-09-02 19:02:37	wofs_ls_186056_2016-09-02.stac-item
2016-09-29 18:44:55	wofs_ls_183058_2016-09-29.stac-item
2017-01-13 19:19:09	wofs_ls_189051_2017-01-13.stac-item
2017-04-15 18:05:52	wofs_ls_177055_2017-04-15.stac-item
2017-10-21 19:07:31	wofs_ls_188037_2017-10-21.stac-item
2017-11-06 20:51:34	wofs_ls_204050_2017-11-06.stac-item
2017-12-29 18:01:00	wofs_ls_175072_2017-12-29.stac-item
2018-01-25 17:37:51	wofs_ls_172061_2018-01-25.stac-item
2018-03-19 18:01:58	wofs_ls_175076_2018-03-19.stac-item
2018-08-19 17:46:32	wofs_ls_174053_2018-08-19.stac-item
2019-07-16 20:39:52	wofs_ls_203037_2019-07-16.stac-item
2019-08-26 20:33:08	wofs_ls_202035_2019-08-26.stac-item
2020-11-11 17:12:04	wofs_ls_167073_2020-11-11.stac-item
2022-01-03 17:45:33	wofs_ls_173064_2022-01-03.stac-item
2022-03-22 18:44:08	wofs_ls_183057_2022-03-22.stac-item
2022-04-08 17:47:40	wofs_ls_174055_2022-04-08.stac-item
2022-04-24 16:57:47	wofs_ls_166054_2022-04-24.stac-item
2022-10-29 19:52:31	wofs_ls_194056_2022-10-29.stac-item
2023-01-27 19:31:09	wofs_ls_192034_2023-01-27.stac-item
2023-01-27 19:31:09	wofs_ls_192034_2023-01-27.stac-item
2023-03-11 20:10:23	wofs_ls_197056_2023-03-11.stac-item
2023-07-08 18:38:35	wofs_ls_182059_2023-07-08.stac-item
2023-07-20 19:02:55	wofs_ls_186058_2023-07-20.stac-item
2023-09-04 20:02:37	wofs_ls_196052_2023-09-04.stac-item
2024-02-05 18:15:52	wofs_ls_178063_2024-02-05.stac-item
2024-06-07 20:14:09	wofs_ls_199036_2024-06-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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