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Global mining practices are evolving rapidly, prioritizing efficiency and sustainability through innovative technologies. This study focuses on integration of Unmanned Aerial Vehicle (UAV) technologies with advanced geospatial technologies to optimize geological resource modelling and mine profile analysis at Tata Steel's mines in India. Utilizing photogrammetric drones (RGB Imagery) and structure from Motion techniques, high resolution 3D Point Cloud Data is generated for detailed terrain analysis using Agisoft Metashape software. This data is further processed to create high resolution Digital Surface Model and Orthomosaic. The study analysed multi-temporal datasets collected over four months to support advanced geological modelling and Mine Monitoring. The quality check using Ground Control Points from DGPS survey yielded a Root Mean Square Error of 1.24 cm across X, Y and Z planes. Filtered Point Cloud Data is used to generate high resolution Digital Terrain Models and supports advanced post–processing for precise multi-temporal volumetric analysis. The Reduced Filtered Point Cloud Data is integrated into Maptek software for 3D modelling and spatial analysis. This study highlights the efficacy of UAV survey as a cost effective, precise, and efficient tool for geological applications in the mining sector, offering enhanced precision in updating the resource model and mine profile analysis.

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Mine Monitoring and Analysis Using Drone Data: A Case Study on Manganese Mines of Tata Steel Limited

  • 会议论文

  • 发表日期：

    2026年

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  • P. Danuta Mohan,
  • Santosh Bhadra,
  • Siripurapu Surya Teja,
  • Prabina Kumar Sahoo,
  • Indranil Saha,
  • Piyush Srivastava

摘要

Global mining practices are evolving rapidly, prioritizing efficiency and sustainability through innovative technologies. This study focuses on integration of Unmanned Aerial Vehicle (UAV) technologies with advanced geospatial technologies to optimize geological resource modelling and mine profile analysis at Tata Steel's mines in India. Utilizing photogrammetric drones (RGB Imagery) and structure from Motion techniques, high resolution 3D Point Cloud Data is generated for detailed terrain analysis using Agisoft Metashape software. This data is further processed to create high resolution Digital Surface Model and Orthomosaic. The study analysed multi-temporal datasets collected over four months to support advanced geological modelling and Mine Monitoring. The quality check using Ground Control Points from DGPS survey yielded a Root Mean Square Error of 1.24 cm across X, Y and Z planes. Filtered Point Cloud Data is used to generate high resolution Digital Terrain Models and supports advanced post–processing for precise multi-temporal volumetric analysis. The Reduced Filtered Point Cloud Data is integrated into Maptek software for 3D modelling and spatial analysis. This study highlights the efficacy of UAV survey as a cost effective, precise, and efficient tool for geological applications in the mining sector, offering enhanced precision in updating the resource model and mine profile analysis.