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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:

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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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35 results

Time (local)	Label
2013-11-26 18:39:07	wofs_ls_181071_2013-11-26.stac-item
2013-12-10 20:24:22	wofs_ls_199056_2013-12-10.stac-item
2014-05-29 20:53:51	wofs_ls_205042_2014-05-29.stac-item
2014-10-25 16:20:22	wofs_ls_160052_2014-10-25.stac-item
2015-08-24 20:33:19	wofs_ls_201052_2015-08-24.stac-item
2017-02-13 18:30:05	wofs_ls_182037_2017-02-13.stac-item
2017-02-27 20:27:37	wofs_ls_200053_2017-02-27.stac-item
2017-03-25 17:49:05	wofs_ls_174059_2017-03-25.stac-item
2018-02-19 20:40:30	wofs_ls_203039_2018-02-19.stac-item
2018-11-10 18:27:29	wofs_ls_179077_2018-11-10.stac-item
2018-11-13 17:17:06	wofs_ls_168071_2018-11-13.stac-item
2018-11-29 17:21:05	wofs_ls_168081_2018-11-29.stac-item
2018-12-01 18:29:39	wofs_ls_182036_2018-12-01.stac-item
2019-02-02 18:02:59	wofs_ls_175078_2019-02-02.stac-item
2019-03-01 19:06:54	wofs_ls_188037_2019-03-01.stac-item
2019-06-07 17:22:55	wofs_ls_170055_2019-06-07.stac-item
2020-04-29 19:08:29	wofs_ls_187057_2020-04-29.stac-item
2020-04-29 20:41:48	wofs_ls_203043_2020-04-29.stac-item
2021-03-20 17:40:55	wofs_ls_174038_2021-03-20.stac-item
2021-06-02 16:44:13	wofs_ls_164051_2021-06-02.stac-item
2021-09-27 20:21:55	wofs_ls_199053_2021-09-27.stac-item
2022-01-13 18:11:50	wofs_ls_179037_2022-01-13.stac-item
2022-02-28 18:31:34	wofs_ls_181056_2022-02-28.stac-item
2022-03-25 16:47:37	wofs_ls_164059_2022-03-25.stac-item
2022-04-01 17:35:51	wofs_ls_173041_2022-04-01.stac-item
2022-07-02 17:17:14	wofs_ls_169056_2022-07-02.stac-item
2022-08-07 17:41:46	wofs_ls_173054_2022-08-07.stac-item
2022-12-12 17:02:56	wofs_ls_166065_2022-12-12.stac-item
2022-12-13 18:39:09	wofs_ls_181074_2022-12-13.stac-item
2022-12-23 15:57:13	wofs_ls_155071_2022-12-23.stac-item
2023-09-10 17:02:25	wofs_ls_166065_2023-09-10.stac-item
2024-02-07 17:15:29	wofs_ls_168066_2024-02-07.stac-item
2024-03-02 18:05:35	wofs_ls_176068_2024-03-02.stac-item
2024-03-13 16:54:29	wofs_ls_165061_2024-03-13.stac-item
2024-03-24 19:04:55	wofs_ls_186062_2024-03-24.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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