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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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26 results

Time (local)	Label
2013-10-16 18:43:33	wofs_ls_182066_2013-10-16.stac-item
2014-11-04 17:02:13	wofs_ls_166064_2014-11-04.stac-item
2015-02-19 19:49:54	wofs_ls_195036_2015-02-19.stac-item
2015-04-13 20:07:37	wofs_ls_198035_2015-04-13.stac-item
2015-05-01 18:32:09	wofs_ls_180075_2015-05-01.stac-item
2016-01-07 16:33:58	wofs_ls_161071_2016-01-07.stac-item
2017-02-20 18:37:02	wofs_ls_183039_2017-02-20.stac-item
2017-05-02 18:49:44	wofs_ls_184057_2017-05-02.stac-item
2017-06-26 20:32:30	wofs_ls_201050_2017-06-26.stac-item
2017-12-24 19:09:48	wofs_ls_188043_2017-12-24.stac-item
2018-09-15 19:05:03	wofs_ls_187048_2018-09-15.stac-item
2018-12-04 19:10:54	wofs_ls_187062_2018-12-04.stac-item
2019-02-05 20:02:24	wofs_ls_196052_2019-02-05.stac-item
2020-07-25 17:31:51	wofs_ls_172046_2020-07-25.stac-item
2020-09-08 17:10:24	wofs_ls_167069_2020-09-08.stac-item
2021-03-17 20:27:23	wofs_ls_201037_2021-03-17.stac-item
2021-03-29 17:47:27	wofs_ls_173070_2021-03-29.stac-item
2021-12-29 17:21:03	wofs_ls_170049_2021-12-29.stac-item
2022-06-02 18:43:25	wofs_ls_183056_2022-06-02.stac-item
2022-06-27 17:05:29	wofs_ls_166073_2022-06-27.stac-item
2022-10-08 18:45:27	wofs_ls_183059_2022-10-08.stac-item
2022-11-19 18:39:38	wofs_ls_181075_2022-11-19.stac-item
2022-12-10 18:10:39	wofs_ls_176080_2022-12-10.stac-item
2023-02-13 20:20:04	wofs_ls_199048_2023-02-13.stac-item
2023-03-23 20:31:23	wofs_ls_201047_2023-03-23.stac-item
2023-08-02 17:39:25	wofs_ls_173050_2023-08-02.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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