Presentation + Paper
27 May 2022 Drone-based near-infrared multispectral and hyperspectral imaging in monitoring structural changes in mine tailing ponds
Author Affiliations +
Abstract
Monitoring and verification of structural changes in mining areas is necessary for mining operators - especially in terms of what events are taking place in the mining area and tailing ponds. Emptying or enriching a pond requires up-to-date information on the shape of the pond and amount of contained material. Increasing accurate measurements interests mining operators. Novel monitoring technologies include possibility of imaging spectroscopic optical measurements - such as hyperspectral imaging - with drone-based scanning feature. At Pyhäsalmi Mine in Finland, we established field trials with drone-based near-infrared multispectral imaging of mine tailing ponds and their dam structures. These field trials were part of the European Union’s Horizon 2020 project called ‘Goldeneye’, which aims to develop a data-acquisition and processing platform combining remote sensing and positioning technologies to produce actionable intelligence for mine operators.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sami Siikanen, Marko Savolainen, Arto Karinen, Julia Puputti, Timo Kauppinen, Sanna Uusitalo, and Marko Paavola "Drone-based near-infrared multispectral and hyperspectral imaging in monitoring structural changes in mine tailing ponds", Proc. SPIE 12109, Thermosense: Thermal Infrared Applications XLIV, 1210908 (27 May 2022); https://doi.org/10.1117/12.2618294
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KEYWORDS
Mining

Hyperspectral imaging

Multispectral imaging

Cameras

Imaging systems

Unmanned aerial vehicles

Remote sensing

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