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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:

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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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26 results

Time (local)	Label
2013-12-13 17:48:14	wofs_ls_172083_2013-12-13.stac-item
2014-01-02 18:53:27	wofs_ls_184061_2014-01-02.stac-item
2014-03-20 19:49:43	wofs_ls_195034_2014-03-20.stac-item
2014-11-13 18:31:45	wofs_ls_181056_2014-11-13.stac-item
2015-02-17 18:35:20	wofs_ls_181066_2015-02-17.stac-item
2015-04-16 17:30:18	wofs_ls_171059_2015-04-16.stac-item
2015-05-22 20:19:26	wofs_ls_199050_2015-05-22.stac-item
2017-02-27 18:51:08	wofs_ls_184059_2017-02-27.stac-item
2017-03-06 17:19:58	wofs_ls_169063_2017-03-06.stac-item
2017-08-02 17:35:29	wofs_ls_172055_2017-08-02.stac-item
2017-08-20 20:33:25	wofs_ls_202036_2017-08-20.stac-item
2018-06-08 18:36:31	wofs_ls_182056_2018-06-08.stac-item
2019-03-17 17:40:17	wofs_ls_172068_2019-03-17.stac-item
2019-05-09 16:22:39	wofs_ls_159075_2019-05-09.stac-item
2020-05-17 17:24:46	wofs_ls_169076_2020-05-17.stac-item
2020-06-05 19:18:20	wofs_ls_190035_2020-06-05.stac-item
2020-09-08 18:49:17	wofs_ls_183069_2020-09-08.stac-item
2021-04-07 17:40:26	wofs_ls_172068_2021-04-07.stac-item
2021-04-10 19:36:39	wofs_ls_193034_2021-04-10.stac-item
2021-10-17 18:19:12	wofs_ls_179055_2021-10-17.stac-item
2022-01-07 17:27:36	wofs_ls_169081_2022-01-07.stac-item
2022-10-18 19:20:37	wofs_ls_189054_2022-10-18.stac-item
2022-11-29 17:29:53	wofs_ls_171055_2022-11-29.stac-item
2022-12-15 17:40:11	wofs_ls_171081_2022-12-15.stac-item
2023-01-31 19:07:41	wofs_ls_188037_2023-01-31.stac-item
2024-02-25 18:35:49	wofs_ls_182051_2024-02-25.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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