Monitoring of Tree Fall Incidents using airborne LiDAR, Stereo Imagery,
and Sentinel-2 Data
Abstract
This study focuses on evaluating the capability of optical satellite
data in monitoring trees with the potential to cause damage. The study
focuses on the application of very high-resolution optical satellite
data, specifically Pléiades and SkySat imagery, as a viable alternative
to airborne LiDAR for monitoring tree fall risks. The comparative
analysis of height estimations from optical satellite data against
airborne LiDAR data unveils valuable information on adopting efficient
strategies for managing vegetation risks, particularly those impacting
power transmission systems. The outcomes of our research contribute
substantially to ongoing initiatives aimed at developing vegetation
management strategies along powerlines, offering valuable information
for decision-makers involved in assessing and mitigating risks
associated with tree falls