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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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30 results

Time (local)	Label
2014-06-24 19:50:59	wofs_ls_195039_2014-06-24.stac-item
2015-04-09 17:22:07	wofs_ls_170054_2015-04-09.stac-item
2015-06-03 15:55:58	wofs_ls_155071_2015-06-03.stac-item
2015-07-07 17:16:02	wofs_ls_169054_2015-07-07.stac-item
2016-11-27 16:52:23	wofs_ls_164070_2016-11-27.stac-item
2017-04-02 17:00:23	wofs_ls_166061_2017-04-02.stac-item
2017-04-13 18:23:02	wofs_ls_179067_2017-04-13.stac-item
2018-06-10 16:46:29	wofs_ls_164059_2018-06-10.stac-item
2018-08-13 18:27:57	wofs_ls_180064_2018-08-13.stac-item
2018-11-01 20:02:33	wofs_ls_196052_2018-11-01.stac-item
2020-04-21 18:23:06	wofs_ls_179067_2020-04-21.stac-item
2020-06-16 17:26:59	wofs_ls_171050_2020-06-16.stac-item
2021-07-19 19:21:43	wofs_ls_189058_2021-07-19.stac-item
2021-12-06 20:35:07	wofs_ls_201055_2021-12-06.stac-item
2021-12-09 17:54:12	wofs_ls_174070_2021-12-09.stac-item
2022-01-04 18:34:00	wofs_ls_180077_2022-01-04.stac-item
2022-01-31 17:25:05	wofs_ls_169075_2022-01-31.stac-item
2022-04-12 16:39:34	wofs_ls_162070_2022-04-12.stac-item
2022-06-21 17:44:27	wofs_ls_172078_2022-06-21.stac-item
2022-07-22 20:54:35	wofs_ls_205042_2022-07-22.stac-item
2022-07-31 20:02:42	wofs_ls_196052_2022-07-31.stac-item
2022-09-07 17:47:17	wofs_ls_174053_2022-09-07.stac-item
2022-09-30 18:44:08	wofs_ls_183055_2022-09-30.stac-item
2022-10-08 16:20:31	wofs_ls_159067_2022-10-08.stac-item
2022-10-17 21:04:11	wofs_ls_206050_2022-10-17.stac-item
2023-01-03 18:50:55	wofs_ls_184057_2023-01-03.stac-item
2023-01-13 19:18:48	wofs_ls_190034_2023-01-13.stac-item
2023-05-11 18:47:43	wofs_ls_184051_2023-05-11.stac-item
2023-06-26 19:49:25	wofs_ls_194051_2023-06-26.stac-item
2024-04-03 17:09:36	wofs_ls_168053_2024-04-03.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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