APPLICATION OF THE GOLDENRAM AI PLATFORM FOR MONITORING MINING ACTIVITIES USING EARTH OBSERVATION DATA

Abstract

This paper analyzes the potential of Earth remote sensing data and artificial intelligence for monitoring mining sites. The study investigates the remote assessment of the value of the deposit using multispectral imagery, time-series data, and digital elevation models. Particular attention is paid to the GoldenRAM platform, which ensures synergy between satellite data, GIS, and machine learning for automated change detection. The core innovation of this study lies in the implementation of the Artificial Intelligence Knowledge Processors (AIKP) approach, which serves as a modular foundation for a fundamental system development architecture. This methodology enables seamless integration of AI-assisted development and advanced geospatial analytics, producing a reliable framework for cross-domain monitoring. Integrating these technologies facilitates continuous remote monitoring, dynamic quarry assessment, and verification of extraction volumes. The proposed approach is highly relevant for monitoring areas with limited physical access and can be adapted for environmental analysis systems in industrial regions of Ukraine.