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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

Acquisition time range to (exclusive)

Dataset URI:

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31 results

Time (local)	Label
2013-11-12 18:29:16	wofs_ls_179077_2013-11-12.stac-item
2014-11-25 18:56:02	wofs_ls_185055_2014-11-25.stac-item
2015-01-25 20:04:11	wofs_ls_196056_2015-01-25.stac-item
2015-04-09 19:00:12	wofs_ls_186052_2015-04-09.stac-item
2015-05-22 17:10:50	wofs_ls_167073_2015-05-22.stac-item
2015-05-23 16:12:26	wofs_ls_158066_2015-05-23.stac-item
2016-12-09 20:29:39	wofs_ls_200057_2016-12-09.stac-item
2017-01-12 18:31:30	wofs_ls_182040_2017-01-12.stac-item
2017-06-22 20:56:01	wofs_ls_205047_2017-06-22.stac-item
2018-06-07 19:23:22	wofs_ls_191034_2018-06-07.stac-item
2019-02-24 17:22:15	wofs_ls_169069_2019-02-24.stac-item
2019-04-19 18:17:48	wofs_ls_179054_2019-04-19.stac-item
2019-10-07 18:06:11	wofs_ls_176069_2019-10-07.stac-item
2020-01-27 18:05:56	wofs_ls_176069_2020-01-27.stac-item
2021-11-17 20:41:11	wofs_ls_203045_2021-11-17.stac-item
2021-12-22 18:50:58	wofs_ls_185042_2021-12-22.stac-item
2021-12-27 18:24:50	wofs_ls_180054_2021-12-27.stac-item
2022-02-24 17:18:15	wofs_ls_169058_2022-02-24.stac-item
2022-02-27 21:00:30	wofs_ls_206042_2022-02-27.stac-item
2022-03-28 17:17:18	wofs_ls_169056_2022-03-28.stac-item
2022-06-28 18:30:58	wofs_ls_181054_2022-06-28.stac-item
2022-07-06 18:32:58	wofs_ls_181060_2022-07-06.stac-item
2022-09-10 20:46:06	wofs_ls_203051_2022-09-10.stac-item
2022-11-03 16:57:40	wofs_ls_165067_2022-11-03.stac-item
2023-01-09 17:23:56	wofs_ls_170056_2023-01-09.stac-item
2023-01-16 19:50:03	wofs_ls_195035_2023-01-16.stac-item
2023-08-31 19:32:44	wofs_ls_192039_2023-08-31.stac-item
2023-09-10 17:59:29	wofs_ls_174084_2023-09-10.stac-item
2024-02-01 16:56:54	wofs_ls_166051_2024-02-01.stac-item
2024-03-17 18:55:36	wofs_ls_185054_2024-03-17.stac-item
2024-04-28 17:08:47	wofs_ls_167067_2024-04-28.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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