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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

Acquisition time range to (exclusive)

Dataset URI:

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31 results

Time (local)	Label
2014-05-08 17:33:32	wofs_ls_170082_2014-05-08.stac-item
2014-06-07 17:32:47	wofs_ls_172049_2014-06-07.stac-item
2014-06-14 20:57:10	wofs_ls_205050_2014-06-14.stac-item
2014-11-20 20:09:35	wofs_ls_198038_2014-11-20.stac-item
2015-04-03 19:29:43	wofs_ls_192033_2015-04-03.stac-item
2015-06-05 17:16:33	wofs_ls_169056_2015-06-05.stac-item
2015-11-14 18:38:49	wofs_ls_183043_2015-11-14.stac-item
2016-10-03 18:16:38	wofs_ls_179049_2016-10-03.stac-item
2016-11-17 19:27:05	wofs_ls_190055_2016-11-17.stac-item
2017-01-30 18:33:23	wofs_ls_180076_2017-01-30.stac-item
2017-08-10 16:45:17	wofs_ls_164053_2017-08-10.stac-item
2018-02-10 17:37:44	wofs_ls_172061_2018-02-10.stac-item
2018-03-31 21:33:12	wofs_ls_211048_2018-03-31.stac-item
2018-08-17 19:31:00	wofs_ls_192036_2018-08-17.stac-item
2018-10-05 18:41:40	wofs_ls_183051_2018-10-05.stac-item
2019-02-17 20:20:43	wofs_ls_200036_2019-02-17.stac-item
2019-12-17 16:27:25	wofs_ls_161054_2019-12-17.stac-item
2020-01-24 17:36:14	wofs_ls_171072_2020-01-24.stac-item
2022-01-23 17:28:24	wofs_ls_169083_2022-01-23.stac-item
2022-02-19 17:56:41	wofs_ls_174077_2022-02-19.stac-item
2022-06-23 19:03:52	wofs_ls_186060_2022-06-23.stac-item
2022-07-01 16:33:59	wofs_ls_162056_2022-07-01.stac-item
2022-10-10 16:58:13	wofs_ls_165069_2022-10-10.stac-item
2023-04-02 20:21:56	wofs_ls_199054_2023-04-02.stac-item
2023-06-08 16:43:52	wofs_ls_164051_2023-06-08.stac-item
2023-06-30 17:58:38	wofs_ls_174083_2023-06-30.stac-item
2023-08-17 17:46:13	wofs_ls_174051_2023-08-17.stac-item
2023-09-03 17:43:38	wofs_ls_173060_2023-09-03.stac-item
2023-09-06 16:34:54	wofs_ls_162058_2023-09-06.stac-item
2024-01-29 17:28:24	wofs_ls_169083_2024-01-29.stac-item
2024-04-13 21:03:12	wofs_ls_206050_2024-04-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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