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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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27 results

Time (local)	Label
2013-04-18 18:22:58	wofs_ls_179061_2013-04-18.stac-item
2013-11-02 17:47:49	wofs_ls_173066_2013-11-02.stac-item
2014-01-18 20:30:06	wofs_ls_200056_2014-01-18.stac-item
2014-06-23 15:59:31	wofs_ls_156063_2014-06-23.stac-item
2014-10-18 17:55:29	wofs_ls_175058_2014-10-18.stac-item
2015-03-09 19:45:21	wofs_ls_193056_2015-03-09.stac-item
2015-03-26 18:48:23	wofs_ls_184053_2015-03-26.stac-item
2016-10-23 17:48:49	wofs_ls_175041_2016-10-23.stac-item
2017-01-18 19:31:17	wofs_ls_192035_2017-01-18.stac-item
2018-05-14 17:08:49	wofs_ls_167068_2018-05-14.stac-item
2018-12-25 17:53:44	wofs_ls_174070_2018-12-25.stac-item
2019-04-16 17:58:53	wofs_ls_174084_2019-04-16.stac-item
2019-09-10 21:33:59	wofs_ls_211048_2019-09-10.stac-item
2019-10-18 17:52:27	wofs_ls_173081_2019-10-18.stac-item
2019-11-02 18:39:17	wofs_ls_182059_2019-11-02.stac-item
2020-02-08 18:30:11	wofs_ls_180068_2020-02-08.stac-item
2020-03-02 18:31:29	wofs_ls_181056_2020-03-02.stac-item
2021-06-24 19:19:03	wofs_ls_190036_2021-06-24.stac-item
2022-02-22 17:37:01	wofs_ls_171074_2022-02-22.stac-item
2022-03-31 16:17:42	wofs_ls_158077_2022-03-31.stac-item
2022-08-07 16:06:52	wofs_ls_157064_2022-08-07.stac-item
2022-12-06 16:47:42	wofs_ls_164058_2022-12-06.stac-item
2023-01-13 17:50:16	wofs_ls_174060_2023-01-13.stac-item
2023-02-08 19:17:08	wofs_ls_188061_2023-02-08.stac-item
2023-04-20 17:46:23	wofs_ls_173068_2023-04-20.stac-item
2023-09-16 20:23:51	wofs_ls_200043_2023-09-16.stac-item
2024-03-07 19:49:52	wofs_ls_195035_2024-03-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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