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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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32 results

Time (local)	Label
2013-06-12 20:05:02	wofs_ls_196053_2013-06-12.stac-item
2013-06-28 19:57:25	wofs_ls_196034_2013-06-28.stac-item
2013-10-14 17:19:02	wofs_ls_168071_2013-10-14.stac-item
2013-11-19 18:26:12	wofs_ls_180054_2013-11-19.stac-item
2014-03-08 17:55:48	wofs_ls_175058_2014-03-08.stac-item
2014-10-17 17:17:00	wofs_ls_168070_2014-10-17.stac-item
2016-06-20 16:47:24	wofs_ls_164059_2016-06-20.stac-item
2017-01-01 17:27:57	wofs_ls_169082_2017-01-01.stac-item
2017-03-14 16:35:38	wofs_ls_161076_2017-03-14.stac-item
2017-04-04 16:53:36	wofs_ls_164075_2017-04-04.stac-item
2017-06-01 17:27:56	wofs_ls_170068_2017-06-01.stac-item
2017-07-02 19:53:27	wofs_ls_195045_2017-07-02.stac-item
2017-10-27 17:04:19	wofs_ls_166069_2017-10-27.stac-item
2018-01-09 15:59:31	wofs_ls_156062_2018-01-09.stac-item
2018-02-05 20:32:12	wofs_ls_201049_2018-02-05.stac-item
2018-07-10 17:04:44	wofs_ls_166073_2018-07-10.stac-item
2019-07-05 17:48:59	wofs_ls_174058_2019-07-05.stac-item
2019-11-07 18:56:37	wofs_ls_185056_2019-11-07.stac-item
2020-05-19 17:08:49	wofs_ls_167067_2020-05-19.stac-item
2020-06-28 19:24:20	wofs_ls_191034_2020-06-28.stac-item
2020-09-18 20:56:56	wofs_ls_205048_2020-09-18.stac-item
2021-01-29 16:20:17	wofs_ls_160052_2021-01-29.stac-item
2022-05-14 20:33:40	wofs_ls_202037_2022-05-14.stac-item
2022-06-18 19:25:34	wofs_ls_191036_2022-06-18.stac-item
2022-10-01 18:44:03	wofs_ls_182071_2022-10-01.stac-item
2022-10-08 20:20:21	wofs_ls_199049_2022-10-08.stac-item
2023-04-01 17:11:21	wofs_ls_168057_2023-04-01.stac-item
2023-05-29 20:08:30	wofs_ls_198037_2023-05-29.stac-item
2023-08-06 18:53:13	wofs_ls_185049_2023-08-06.stac-item
2024-02-10 17:47:34	wofs_ls_173069_2024-02-10.stac-item
2024-03-14 17:41:19	wofs_ls_172070_2024-03-14.stac-item
2024-04-30 16:56:47	wofs_ls_165068_2024-04-30.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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