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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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31 results

Time (local)	Label
2013-06-01 17:09:27	wofs_ls_167062_2013-06-01.stac-item
2014-06-25 20:33:27	wofs_ls_202037_2014-06-25.stac-item
2014-08-02 16:45:15	wofs_ls_164053_2014-08-02.stac-item
2014-11-26 19:38:30	wofs_ls_192053_2014-11-26.stac-item
2015-03-24 17:19:53	wofs_ls_170048_2015-03-24.stac-item
2015-12-24 17:55:47	wofs_ls_175059_2015-12-24.stac-item
2016-04-18 19:06:11	wofs_ls_187051_2016-04-18.stac-item
2016-06-11 18:30:49	wofs_ls_181055_2016-06-11.stac-item
2016-08-21 18:39:01	wofs_ls_182059_2016-08-21.stac-item
2017-12-01 20:40:04	wofs_ls_203037_2017-12-01.stac-item
2017-12-19 18:59:14	wofs_ls_185063_2017-12-19.stac-item
2017-12-21 18:40:06	wofs_ls_183046_2017-12-21.stac-item
2018-10-03 20:30:30	wofs_ls_201045_2018-10-03.stac-item
2019-04-06 20:20:06	wofs_ls_200035_2019-04-06.stac-item
2019-10-08 17:10:34	wofs_ls_167069_2019-10-08.stac-item
2021-03-02 17:53:50	wofs_ls_176039_2021-03-02.stac-item
2021-05-07 19:18:16	wofs_ls_190035_2021-05-07.stac-item
2021-10-05 21:06:37	wofs_ls_207041_2021-10-05.stac-item
2021-11-15 19:25:35	wofs_ls_190056_2021-11-15.stac-item
2022-03-27 18:22:06	wofs_ls_178079_2022-03-27.stac-item
2022-03-29 18:50:12	wofs_ls_184057_2022-03-29.stac-item
2022-06-30 20:45:23	wofs_ls_203051_2022-06-30.stac-item
2022-07-13 16:58:14	wofs_ls_166055_2022-07-13.stac-item
2022-08-12 16:27:26	wofs_ls_160069_2022-08-12.stac-item
2022-10-30 16:34:20	wofs_ls_161071_2022-10-30.stac-item
2023-01-02 16:34:45	wofs_ls_161072_2023-01-02.stac-item
2023-01-19 20:25:16	wofs_ls_200046_2023-01-19.stac-item
2023-07-06 20:28:13	wofs_ls_200055_2023-07-06.stac-item
2023-08-17 16:18:06	wofs_ls_158078_2023-08-17.stac-item
2023-09-06 17:21:55	wofs_ls_170052_2023-09-06.stac-item
2024-04-27 16:35:55	wofs_ls_160093_2024-04-27.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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