Application Innovations and Engineering Practices of Drone Technology in Geological Exploration

This study examines how drone technology is revolutionizing geological surveying. While traditional approaches struggle with efficiency and accuracy limitations, drones leverage breakthroughs in multi-sensor integration, autonomous navigation, and real-time data processing to establish an integrated air-ground-cloud collaborative framework, significantly enhancing survey capabilities. Their transformative applications span dynamic landslide monitoring, AI-driven mineral exploration for hidden deposits, 3D geological mapping, and multidimensional environmental diagnostics. The research also identifies challenges such as high-altitude operations, big data interpretation bottlenecks, and regulatory constraints, proposing solutions like power system optimization, edge computing integration, and standardized protocols to accelerate the industry's shift toward intelligent, data-centric methodologies. These insights offer critical guidance for modernizing geological exploration technologies.

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Publication Details

Journal
Chinese Industry and Technology of Eco-environment
Published
2025-01-01
DOI
https://doi.org/10.47297/wspciatewsp2633-772x11.20250601
Primary Topic
Safety and Risk Management
Type
article
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article

Application Innovations and Engineering Practices of Drone Technology in Geological Exploration

Xin Fang
Chinese Industry and Technology of Eco-environment
Safety and Risk Management
article

Application Innovations and Engineering Practices of Drone Technology in Geological Exploration

Xin Fang
article en

Abstract

This study examines how drone technology is revolutionizing geological surveying. While traditional approaches struggle with efficiency and accuracy limitations, drones leverage breakthroughs in multi-sensor integration, autonomous navigation, and real-time data processing to establish an integrated air-ground-cloud collaborative framework, significantly enhancing survey capabilities. Their transformative applications span dynamic landslide monitoring, AI-driven mineral exploration for hidden deposits, 3D geological mapping, and multidimensional environmental diagnostics. The research also identifies challenges such as high-altitude operations, big data interpretation bottlenecks, and regulatory constraints, proposing solutions like power system optimization, edge computing integration, and standardized protocols to accelerate the industry's shift toward intelligent, data-centric methodologies. These insights offer critical guidance for modernizing geological exploration technologies.

Chinese Industry and Technology of Eco-environmentVol. 6(1)
Hefei University of Technology (CN), Mineral Resources (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 91%
Safety and Risk Management
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