Skip to main navigation Skip to search Skip to main content

Automated Drone Networks for Exploration Targeting and Other Mining Surveys

  • Nokia Solutions and Networks Oy
  • Sofia University St. Kliment Ohridski

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Abstract

This paper discusses the use of automated drone networks in mining surveys, highlighting their benefits, applications, and the integration of technologies such as Lidar and hyperspectral imaging. Mining companies increasingly use high-resolution camera drones in mine development, monitoring, and volume calculations. In enhancing worker safety, drones improve worker safety by providing information about above-ground conditions and integrating Lidar technology for better data generation. Challenges of manual drones include manual operation of drones requiring significant experience and human effort, making automated drones a more efficient and safer alternative. Automated drones are valuable for surveying and mapping, infrastructure inspection, environmental monitoring, stockpile management, blast planning, mineral exploration, safety, and emergency response. Automated drones enhance efficiency by performing regular, repetitive, or hazardous operations, reducing human risk and improving data consistency and accuracy. Drone systems include remote control centers, on-site docking stations for charging and protection, and data transfer to servers for processing. Drone-based multispectral imaging helps in early detection of seepage and dusting events near tailings pond dams, providing crucial environmental data. Drone-borne hyperspectral imaging aids in identifying lithology, geological structures, and hydrothermal zones, enhancing mineral exploration efficiency and safety.
Original languageEnglish
Title of host publicationEarth Observations and Proximity Sensing Technologies
Subtitle of host publicationEnhancing Safety, Sustainability and Efficiency in Mining Operations
EditorsMarko Paavola, Ossi Kotavaara, Kamen Bogdanov, Andreas Knobloch, Dorel Gusat, Jari Joutsenvaara
PublisherGeological Society
DOIs
Publication statusPublished - 25 Mar 2026
MoE publication typeA3 Part of a book or another research book

Publication series

SeriesGeological Society Special Publication
Volume559
ISSN0305-8719

Funding

Horizon 2020 Framework Programme: 869398

Keywords

  • Drone
  • Mining industry
  • EARTH OBSERVING SYSTEMS

Fingerprint

Dive into the research topics of 'Automated Drone Networks for Exploration Targeting and Other Mining Surveys'. Together they form a unique fingerprint.

Cite this