Your results suggest that integrating LiDAR with thermal and vegetation indices offers a more comprehensive understanding of the fault zones. Could you explain the specific benefits of combining these datasets, and are there any limitations or challenges you encountered when trying to align data from these different sensors?
The thermal data indicated temperature variations within the fault zone. Could you elaborate on how thermal variations correlate with geological features such as fault lines and whether the observed temperature differences can be attributed solely to subsurface structures?
Your results suggest that integrating LiDAR with thermal and vegetation indices offers a more comprehensive understanding of the fault zones. Could you explain the specific benefits of combining these datasets, and are there any limitations or challenges you encountered when trying to align data from these different sensors?
The thermal data indicated temperature variations within the fault zone. Could you elaborate on how thermal variations correlate with geological features such as fault lines and whether the observed temperature differences can be attributed solely to subsurface structures?