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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
2013-05-19 19:11:37	wofs_ls_188043_2013-05-19.stac-item
2013-07-29 16:13:58	wofs_ls_157078_2013-07-29.stac-item
2014-04-03 16:57:14	wofs_ls_165067_2014-04-03.stac-item
2014-08-26 17:32:24	wofs_ls_172047_2014-08-26.stac-item
2014-10-27 16:15:09	wofs_ls_158070_2014-10-27.stac-item
2016-12-09 18:48:23	wofs_ls_184051_2016-12-09.stac-item
2017-02-24 21:33:38	wofs_ls_211048_2017-02-24.stac-item
2017-03-12 16:41:14	wofs_ls_163059_2017-03-12.stac-item
2017-06-19 17:14:54	wofs_ls_168066_2017-06-19.stac-item
2017-07-21 17:19:26	wofs_ls_168077_2017-07-21.stac-item
2017-08-10 16:46:29	wofs_ls_164056_2017-08-10.stac-item
2018-04-29 17:48:39	wofs_ls_174059_2018-04-29.stac-item
2018-06-21 18:15:20	wofs_ls_177080_2018-06-21.stac-item
2019-02-17 17:16:54	wofs_ls_168071_2019-02-17.stac-item
2019-08-27 19:37:54	wofs_ls_193036_2019-08-27.stac-item
2020-06-02 15:45:34	wofs_ls_153075_2020-06-02.stac-item
2022-01-01 19:25:15	wofs_ls_191035_2022-01-01.stac-item
2022-01-08 18:00:05	wofs_ls_176054_2022-01-08.stac-item
2022-02-15 19:01:26	wofs_ls_186053_2022-02-15.stac-item
2022-02-15 19:03:49	wofs_ls_186059_2022-02-15.stac-item
2022-02-26 17:54:52	wofs_ls_175057_2022-02-26.stac-item
2022-07-04 17:11:15	wofs_ls_167072_2022-07-04.stac-item
2022-08-02 17:31:10	wofs_ls_170074_2022-08-02.stac-item
2022-09-04 18:54:05	wofs_ls_185050_2022-09-04.stac-item
2022-11-08 18:51:05	wofs_ls_184057_2022-11-08.stac-item
2022-12-21 17:53:40	wofs_ls_173084_2022-12-21.stac-item
2023-01-13 17:48:17	wofs_ls_174055_2023-01-13.stac-item
2023-01-13 20:13:45	wofs_ls_198048_2023-01-13.stac-item
2023-04-18 17:59:09	wofs_ls_175069_2023-04-18.stac-item
2023-06-07 20:08:15	wofs_ls_197052_2023-06-07.stac-item
2023-07-30 18:01:15	wofs_ls_176058_2023-07-30.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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