高光谱成像
多光谱图像
无人机
遥感
环境科学
欧洲联盟
领域(数学)
计算机科学
特征(语言学)
采矿工程
地质学
语言学
哲学
遗传学
数学
纯数学
业务
生物
经济政策
作者
Sami Siikanen,Marko Savolainen,A. Karinen,Julia Puputti,Timo Kauppinen,Sanna Uusitalo,Marko Paavola
摘要
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.
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