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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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26 results

Time (local)	Label
2013-06-08 17:10:49	wofs_ls_168050_2013-06-08.stac-item
2013-09-23 18:40:13	wofs_ls_181073_2013-09-23.stac-item
2013-10-23 17:16:22	wofs_ls_167080_2013-10-23.stac-item
2014-01-31 18:26:13	wofs_ls_179071_2014-01-31.stac-item
2014-02-18 18:11:13	wofs_ls_177065_2014-02-18.stac-item
2014-06-29 17:04:57	wofs_ls_166072_2014-06-29.stac-item
2014-10-21 16:54:16	wofs_ls_164075_2014-10-21.stac-item
2015-06-12 17:22:48	wofs_ls_170056_2015-06-12.stac-item
2015-08-13 17:36:48	wofs_ls_172059_2015-08-13.stac-item
2017-07-27 21:27:54	wofs_ls_210049_2017-07-27.stac-item
2018-02-07 20:22:37	wofs_ls_199056_2018-02-07.stac-item
2018-03-27 18:38:36	wofs_ls_183044_2018-03-27.stac-item
2019-02-13 19:13:20	wofs_ls_188053_2019-02-13.stac-item
2019-02-17 18:42:14	wofs_ls_184037_2019-02-17.stac-item
2020-07-13 17:15:26	wofs_ls_168067_2020-07-13.stac-item
2022-01-12 20:04:28	wofs_ls_196056_2022-01-12.stac-item
2022-01-15 18:15:01	wofs_ls_177076_2022-01-15.stac-item
2022-02-28 17:42:30	wofs_ls_173057_2022-02-28.stac-item
2022-09-24 19:14:03	wofs_ls_189037_2022-09-24.stac-item
2022-10-20 18:12:34	wofs_ls_179038_2022-10-20.stac-item
2022-11-26 18:44:15	wofs_ls_182071_2022-11-26.stac-item
2023-01-03 17:10:51	wofs_ls_168054_2023-01-03.stac-item
2023-02-18 18:14:47	wofs_ls_178060_2023-02-18.stac-item
2023-04-26 17:52:15	wofs_ls_175051_2023-04-26.stac-item
2023-07-22 18:49:00	wofs_ls_184054_2023-07-22.stac-item
2024-02-25 17:53:53	wofs_ls_174070_2024-02-25.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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