Hyperspectral imagery is a valuable asset in resource exploration and environmental monitoring. It enables the detection and mapping of surface indicators of mineral resources, allowing geolocated areas of interest to be identified for targeted sampling and further analysis. When integrated with lidar data, hyperspectral imagery can also be used to map spoil and estimate volumes of spoil or raw material stockpiles. Additionally, it supports efforts to monitor ecological impacts and evaluate the effectiveness of mitigation strategies, while helping ensure regulatory compliance—particularly in cases involving mining spoil or petroleum-contaminated soils.
