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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

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Dataset URI:

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27 results

Time (local)	Label
2013-07-19 20:25:08	wofs_ls_199057_2013-07-19.stac-item
2013-09-17 19:09:46	wofs_ls_187054_2013-09-17.stac-item
2013-11-13 17:25:40	wofs_ls_170057_2013-11-13.stac-item
2014-04-22 17:25:01	wofs_ls_170060_2014-04-22.stac-item
2014-12-16 19:07:44	wofs_ls_188038_2014-12-16.stac-item
2015-12-13 18:06:20	wofs_ls_178039_2015-12-13.stac-item
2015-12-24 18:02:58	wofs_ls_175077_2015-12-24.stac-item
2016-02-14 17:33:39	wofs_ls_171066_2016-02-14.stac-item
2017-03-11 17:38:04	wofs_ls_172062_2017-03-11.stac-item
2017-03-18 17:40:59	wofs_ls_173054_2017-03-18.stac-item
2017-09-17 19:19:19	wofs_ls_190036_2017-09-17.stac-item
2017-12-09 16:48:24	wofs_ls_163076_2017-12-09.stac-item
2018-12-06 17:14:28	wofs_ls_169049_2018-12-06.stac-item
2020-01-11 18:09:11	wofs_ls_176077_2020-01-11.stac-item
2022-01-02 18:39:35	wofs_ls_182060_2022-01-02.stac-item
2022-04-09 19:15:18	wofs_ls_189042_2022-04-09.stac-item
2022-04-12 16:40:22	wofs_ls_162072_2022-04-12.stac-item
2022-04-15 18:41:44	wofs_ls_183051_2022-04-15.stac-item
2022-05-21 18:16:17	wofs_ls_179050_2022-05-21.stac-item
2022-05-25 17:57:56	wofs_ls_175066_2022-05-25.stac-item
2022-07-06 16:51:18	wofs_ls_165053_2022-07-06.stac-item
2022-09-20 17:15:42	wofs_ls_169051_2022-09-20.stac-item
2022-12-17 15:46:31	wofs_ls_153075_2022-12-17.stac-item
2023-02-04 20:24:40	wofs_ls_200044_2023-02-04.stac-item
2023-02-19 16:35:05	wofs_ls_161073_2023-02-19.stac-item
2023-07-30 17:08:28	wofs_ls_168050_2023-07-30.stac-item
2024-04-06 20:08:01	wofs_ls_197050_2024-04-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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