Classification result - Random Forest

Published: 9 June 2022| Version 1 | DOI: 10.17632/yckzwfczdr.1
Contributor:
Hary Nugroho

Description

The result of this classification is a predictive lithology map classified using machine learning random forest. The data used are Sentinel-2A satellite imagery, ALOS PALSAR satellite imagery, DEM, and aerial geophysical data (magnetic, electromagnetic and radiometric).

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Institutions

Institut Teknologi Nasional Bandung

Categories

Lithology

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