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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
2013-03-25 17:05:13	wofs_ls_167061_2013-03-25.stac-item
2013-04-23 17:04:11	wofs_ls_166065_2013-04-23.stac-item
2013-07-23 20:00:25	wofs_ls_195057_2013-07-23.stac-item
2014-07-23 17:48:08	wofs_ls_174056_2014-07-23.stac-item
2015-02-26 18:25:56	wofs_ls_180058_2015-02-26.stac-item
2015-03-07 18:18:28	wofs_ls_179055_2015-03-07.stac-item
2015-03-20 17:51:02	wofs_ls_174064_2015-03-20.stac-item
2015-09-22 18:27:19	wofs_ls_180061_2015-09-22.stac-item
2017-02-07 16:00:12	wofs_ls_156064_2017-02-07.stac-item
2018-09-20 19:18:25	wofs_ls_190035_2018-09-20.stac-item
2019-01-09 20:23:02	wofs_ls_199057_2019-01-09.stac-item
2019-02-13 17:34:51	wofs_ls_172054_2019-02-13.stac-item
2019-04-18 15:58:51	wofs_ls_156062_2019-04-18.stac-item
2020-10-13 20:52:01	wofs_ls_204051_2020-10-13.stac-item
2021-01-17 19:07:46	wofs_ls_188038_2021-01-17.stac-item
2021-04-28 17:46:27	wofs_ls_175037_2021-04-28.stac-item
2022-02-01 17:20:38	wofs_ls_168079_2022-02-01.stac-item
2022-02-06 19:49:25	wofs_ls_195034_2022-02-06.stac-item
2022-03-25 20:02:36	wofs_ls_196052_2022-03-25.stac-item
2022-07-10 18:04:15	wofs_ls_177050_2022-07-10.stac-item
2022-10-05 18:22:54	wofs_ls_178080_2022-10-05.stac-item
2023-02-21 17:59:34	wofs_ls_175068_2023-02-21.stac-item
2023-03-31 20:34:41	wofs_ls_201055_2023-03-31.stac-item
2023-08-25 17:04:00	wofs_ls_166069_2023-08-25.stac-item
2024-03-07 17:29:59	wofs_ls_171057_2024-03-07.stac-item
2024-03-26 19:36:44	wofs_ls_192050_2024-03-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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