A COMPARISON OF DIFFERENT AI AND ML ALGORITHMS FOR ANALYSING SATELLITE IMAGERY AND OTHER REMOTESENSING DATA TO MONITOR MINING ACTIVITIES, INCLUDING THE POTENTIAL FOR INTEGRATING THESE THECHNOLOGIES WITH GMES SYSTEMS.
Journal Title: Nature & Science - Year 2023, Vol 5, Issue 11
Abstract
Monitoring mining activities is crucial for environmental sustainability and resource management. This study explores the application of AI and ML algorithms in analyzing satellite imagery and remote sensing data to enhance the monitoring of mining operations. The research assesses the potential integration of these technologies with GMES (Global Monitoring for Environment and Security) systems. Using fictitious data, we evaluate various AI and ML algorithms and their performance metrics in identifying and monitoring mining activities. The findings highlight the efficacy of certain algorithms and their implications for sustainable mining practices and environmental protection.
Authors and Affiliations
Ilkin Azimzadeh
Keywords
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- EP ID EP753363
- DOI 10.36719/2707-1146/38/89-101
- Views 5
- Downloads 1
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