Remote sensing data capture in the mining industry has been exponentially evolving over the last ten years. We are capturing data at an increased resolution, accuracy, and ever-shorter intervals of time, enabling a dynamic digital twin of a mine, above and below ground, and databased decisionmaking and planning. Furthermore, advances in data processing and analysis offer the promise of data sharing across an organisation. Intelligent remote sensing systems that reduce human involvement in data capture, georeferencing and processing help mines achieve the goals of datadriven decision-making and dynamic data models.
Mining companies are also facing new challenges. ESG policies demand increased focus on sustainable mining, however the depletion of near surface orebodies means mines are getting deeper and cut-off grades lower. Deeper mines increase hazards such as seismicity and add to the complexity of maintaining efficient extraction throughout the Life-of-mine to maintain profitability. Addressing these challenges require better data collected at ever shorter time interval. Essentially, more and detailed inspections, which paradoxically increase worker exposure to hazards.
Mining companies already use remote sensing technologies in exploration and mining. Aerial scanning typically depends on GNSS systems for operation and georeferencing, but intelligent and autonomous mapping systems, such as the Emesent Hovermap, breaks this impasse by delivering inspection and production data, above and below ground, without compromising the safety of personnel.