Articles | Volume 18
11 May 2021
 | 11 May 2021

Using machine learning to produce a very high resolution land-cover map for Ireland

Eoin Walsh, Geoffrey Bessardon, Emily Gleeson, and Priit Ulmas


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Short summary
In this work, machine learning techniques, satellite data and land-cover data were used to produce a land-cover map for Ireland that shows greater accuracy and resolution than an altered version of the standard land-cover map (ECOCLIMAP-SG) used for numerical weather prediction. This method offers a way to universally improve meteorological land-cover maps across jurisdictions, while also offering a method of updating the map regularly to account for seasonal changes in surface land-covers.