Project Overview
Regional hydrothermal alteration mapping using multi-spectral satellite imagery analysis and machine learning classification.
Methodology & Approach
Our integrated approach combined traditional field methods with modern geoscience technology to deliver exceptional results within the project timeline and budget. The program was designed to systematically de-risk the target and generate high-confidence drill targets.
Sentinel-2
ASTER
Google Earth Engine
Machine Learning
Key Outcomes
- Hydrothermal alteration zones mapped
- New prospective corridors identified
- Published in peer-reviewed journal
Survey Coverage
Survey Area
1,200 km²
Ashanti Region, Ghana
Project Details
Client TypeUniversity Research Program
RegionAshanti Region, Ghana
Year2023
Duration3 months
CategoryResearch
Area1,200 km²
Technologies
Sentinel-2ASTERGoogle Earth EngineMachine Learning
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