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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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27 results

Time (local)	Label
2013-07-10 17:23:33	wofs_ls_168082_2013-07-10.stac-item
2013-12-11 16:16:33	wofs_ls_158070_2013-12-11.stac-item
2014-05-05 20:05:40	wofs_ls_197045_2014-05-05.stac-item
2014-05-18 16:24:51	wofs_ls_160065_2014-05-18.stac-item
2014-06-01 18:13:47	wofs_ls_178059_2014-06-01.stac-item
2015-08-04 17:51:17	wofs_ls_173080_2015-08-04.stac-item
2016-01-18 19:19:16	wofs_ls_190036_2016-01-18.stac-item
2016-12-06 16:41:48	wofs_ls_163059_2016-12-06.stac-item
2017-11-25 19:44:40	wofs_ls_193053_2017-11-25.stac-item
2018-02-18 18:33:07	wofs_ls_180076_2018-02-18.stac-item
2018-06-21 19:36:41	wofs_ls_193036_2018-06-21.stac-item
2018-11-22 20:17:55	wofs_ls_199044_2018-11-22.stac-item
2018-12-29 17:33:24	wofs_ls_170081_2018-12-29.stac-item
2020-02-23 17:46:28	wofs_ls_173067_2020-02-23.stac-item
2020-07-13 17:13:50	wofs_ls_168063_2020-07-13.stac-item
2020-12-20 18:53:59	wofs_ls_184065_2020-12-20.stac-item
2021-04-19 16:35:46	wofs_ls_160092_2021-04-19.stac-item
2021-05-18 17:30:32	wofs_ls_171059_2021-05-18.stac-item
2021-07-15 18:09:06	wofs_ls_177062_2021-07-15.stac-item
2022-01-16 19:38:56	wofs_ls_192054_2022-01-16.stac-item
2022-01-17 21:06:29	wofs_ls_207041_2022-01-17.stac-item
2022-03-20 17:28:01	wofs_ls_169083_2022-03-20.stac-item
2022-08-22 16:13:36	wofs_ls_158066_2022-08-22.stac-item
2023-01-02 16:36:21	wofs_ls_161076_2023-01-02.stac-item
2023-02-04 16:30:30	wofs_ls_160077_2023-02-04.stac-item
2023-05-22 18:23:28	wofs_ls_181037_2023-05-22.stac-item
2024-03-18 18:10:45	wofs_ls_176081_2024-03-18.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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