Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites

Joana Cardoso-Fernandes, Ana C. Teodoro, Alexandre Lima, Encarnación Roda-Robles Machine learning (ML) algorithms have shown great performance in geological remote sensing applications. The study area of this work was the Fregeneda–Almendra region (Spain–Portugal) where the support vector machine (SVM) was employed. Lithium (Li)-pegmatite exploration using satellite data presents some challenges since pegmatites are, by nature, […]