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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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31 results

Time (local)	Label
2013-04-07 17:11:18	wofs_ls_168054_2013-04-07.stac-item
2014-01-30 20:48:23	wofs_ls_204040_2014-01-30.stac-item
2014-02-05 17:04:13	wofs_ls_166067_2014-02-05.stac-item
2014-10-02 17:59:24	wofs_ls_175068_2014-10-02.stac-item
2014-10-25 16:20:45	wofs_ls_160053_2014-10-25.stac-item
2015-03-09 19:41:46	wofs_ls_193047_2015-03-09.stac-item
2017-01-25 16:26:02	wofs_ls_161051_2017-01-25.stac-item
2017-06-24 15:53:47	wofs_ls_155064_2017-06-24.stac-item
2019-04-14 18:04:29	wofs_ls_176067_2019-04-14.stac-item
2019-06-18 17:08:26	wofs_ls_167065_2019-06-18.stac-item
2019-10-13 20:38:55	wofs_ls_202049_2019-10-13.stac-item
2020-02-18 19:03:15	wofs_ls_186058_2020-02-18.stac-item
2021-03-27 16:24:08	wofs_ls_159078_2021-03-27.stac-item
2021-04-05 16:15:07	wofs_ls_158071_2021-04-05.stac-item
2021-07-28 19:16:49	wofs_ls_188061_2021-07-28.stac-item
2021-12-16 18:49:25	wofs_ls_183069_2021-12-16.stac-item
2022-02-01 17:08:40	wofs_ls_168049_2022-02-01.stac-item
2022-03-10 18:11:35	wofs_ls_179037_2022-03-10.stac-item
2022-07-02 20:31:01	wofs_ls_201046_2022-07-02.stac-item
2022-07-17 19:05:04	wofs_ls_186062_2022-07-17.stac-item
2022-09-06 21:07:12	wofs_ls_207042_2022-09-06.stac-item
2022-10-12 19:51:18	wofs_ls_195038_2022-10-12.stac-item
2022-11-16 18:53:44	wofs_ls_184064_2022-11-16.stac-item
2022-12-07 16:41:14	wofs_ls_163057_2022-12-07.stac-item
2023-01-29 19:19:13	wofs_ls_190035_2023-01-29.stac-item
2023-02-02 17:29:12	wofs_ls_170069_2023-02-02.stac-item
2023-02-20 17:21:55	wofs_ls_168082_2023-02-20.stac-item
2023-04-15 17:21:54	wofs_ls_170053_2023-04-15.stac-item
2023-06-23 16:53:10	wofs_ls_165059_2023-06-23.stac-item
2024-05-03 19:00:33	wofs_ls_186053_2024-05-03.stac-item
2024-05-12 17:18:59	wofs_ls_169062_2024-05-12.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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