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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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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30 results

Time (local)	Label
2014-02-24 17:36:03	wofs_ls_171070_2014-02-24.stac-item
2014-03-13 18:16:42	wofs_ls_178064_2014-03-13.stac-item
2014-04-15 18:58:36	wofs_ls_185062_2014-04-15.stac-item
2014-10-13 19:16:12	wofs_ls_188059_2014-10-13.stac-item
2015-07-22 19:50:16	wofs_ls_194053_2015-07-22.stac-item
2015-10-12 17:59:26	wofs_ls_176053_2015-10-12.stac-item
2015-12-18 18:39:15	wofs_ls_181075_2015-12-18.stac-item
2016-01-22 20:41:00	wofs_ls_202055_2016-01-22.stac-item
2016-01-31 17:21:24	wofs_ls_169066_2016-01-31.stac-item
2016-12-06 18:23:52	wofs_ls_179067_2016-12-06.stac-item
2017-11-08 17:27:01	wofs_ls_170064_2017-11-08.stac-item
2018-01-01 18:30:17	wofs_ls_180068_2018-01-01.stac-item
2018-05-16 16:53:38	wofs_ls_165061_2018-05-16.stac-item
2019-01-20 16:53:51	wofs_ls_164075_2019-01-20.stac-item
2019-02-15 19:04:34	wofs_ls_186062_2019-02-15.stac-item
2019-08-10 17:24:51	wofs_ls_170059_2019-08-10.stac-item
2020-02-18 17:29:09	wofs_ls_170070_2020-02-18.stac-item
2020-07-23 19:25:52	wofs_ls_190053_2020-07-23.stac-item
2020-09-05 19:51:39	wofs_ls_194055_2020-09-05.stac-item
2021-11-25 18:29:41	wofs_ls_180066_2021-11-25.stac-item
2022-02-14 17:40:35	wofs_ls_171083_2022-02-14.stac-item
2022-02-27 17:04:02	wofs_ls_166069_2022-02-27.stac-item
2022-04-12 18:20:03	wofs_ls_178074_2022-04-12.stac-item
2022-04-15 18:45:20	wofs_ls_183060_2022-04-15.stac-item
2022-08-22 16:17:59	wofs_ls_158077_2022-08-22.stac-item
2022-11-16 18:04:21	wofs_ls_176064_2022-11-16.stac-item
2022-11-27 18:26:47	wofs_ls_181043_2022-11-27.stac-item
2023-01-10 16:33:29	wofs_ls_161069_2023-01-10.stac-item
2023-07-22 17:11:18	wofs_ls_168057_2023-07-22.stac-item
2023-09-03 20:01:38	wofs_ls_197034_2023-09-03.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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