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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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35 results

Time (local)	Label
2013-05-22 19:41:45	wofs_ls_193041_2013-05-22.stac-item
2014-01-04 18:44:39	wofs_ls_182070_2014-01-04.stac-item
2014-09-27 19:12:54	wofs_ls_188051_2014-09-27.stac-item
2015-01-05 17:19:36	wofs_ls_168077_2015-01-05.stac-item
2015-02-24 17:01:49	wofs_ls_166064_2015-02-24.stac-item
2015-07-31 18:04:02	wofs_ls_177050_2015-07-31.stac-item
2015-12-11 18:17:53	wofs_ls_180037_2015-12-11.stac-item
2016-05-02 19:13:26	wofs_ls_189038_2016-05-02.stac-item
2018-01-18 20:40:21	wofs_ls_203038_2018-01-18.stac-item
2018-02-18 18:30:19	wofs_ls_180069_2018-02-18.stac-item
2018-02-28 19:00:33	wofs_ls_186052_2018-02-28.stac-item
2018-07-23 18:14:24	wofs_ls_177077_2018-07-23.stac-item
2019-07-13 18:36:03	wofs_ls_182052_2019-07-13.stac-item
2019-08-14 17:07:20	wofs_ls_166077_2019-08-14.stac-item
2021-01-10 20:44:31	wofs_ls_203048_2021-01-10.stac-item
2021-04-27 20:25:21	wofs_ls_200048_2021-04-27.stac-item
2022-02-14 18:25:21	wofs_ls_179071_2022-02-14.stac-item
2022-02-14 19:08:41	wofs_ls_187056_2022-02-14.stac-item
2022-03-09 18:18:12	wofs_ls_180038_2022-03-09.stac-item
2022-04-23 17:14:23	wofs_ls_167080_2022-04-23.stac-item
2022-05-18 19:25:29	wofs_ls_190053_2022-05-18.stac-item
2022-06-09 17:12:19	wofs_ls_168060_2022-06-09.stac-item
2022-12-03 17:04:46	wofs_ls_167054_2022-12-03.stac-item
2022-12-05 17:53:17	wofs_ls_173083_2022-12-05.stac-item
2022-12-13 18:31:59	wofs_ls_181056_2022-12-13.stac-item
2023-03-11 20:11:11	wofs_ls_197058_2023-03-11.stac-item
2023-04-28 18:31:26	wofs_ls_181057_2023-04-28.stac-item
2023-04-30 17:33:03	wofs_ls_171065_2023-04-30.stac-item
2023-05-24 19:58:19	wofs_ls_195058_2023-05-24.stac-item
2023-05-26 18:48:23	wofs_ls_185038_2023-05-26.stac-item
2023-07-04 15:48:41	wofs_ls_154067_2023-07-04.stac-item
2023-07-25 16:58:12	wofs_ls_165071_2023-07-25.stac-item
2023-09-04 16:52:25	wofs_ls_164071_2023-09-04.stac-item
2024-01-17 18:33:24	wofs_ls_181060_2024-01-17.stac-item
2024-04-20 17:10:45	wofs_ls_167071_2024-04-20.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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