Classification result - Random Forest
Published: 9 June 2022| Version 1 | DOI: 10.17632/yckzwfczdr.1
Contributor:
Hary NugrohoDescription
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).
Files
Institutions
Institut Teknologi Nasional Bandung
Categories
Lithology