Which of these statements about LiDAR technology is incorrect?

LiDAR technology, which stands for Light Detection and Ranging, is known for its ability to collect precise distance measurements and create detailed 3D models of environments, including vegetation and trees. The effectiveness of LiDAR in assessing distance variations in tree lines is significant as it allows for high-resolution data to understand tree heights, canopy structure, and spatial relationships. Furthermore, LiDAR is instrumental in analyzing tree-conductor relationships, helping utilities avoid electrical hazards and optimize tree management practices.

In the context of tree failure events, LiDAR provides valuable data. It can be used to assess the severity of damage and the recovery potential of affected areas by capturing post-event scenarios. However, while LiDAR is a powerful tool, it does have limitations when it comes to weather conditions. Fog, rain, snow, or heavy foliage can impede the effectiveness of LiDAR systems, resulting in less accurate or reliable data due to interference with the light signals used to gauge distances. Therefore, the statement about LiDAR being precise in all weather scenarios is inaccurate, highlighting a key limitation in its application.