摘要: |
The focus of this study is to detect sinkhole hazards using airborne light detection and ranging (LiDAR) data. The premise is sinkholes, particularly those close to transportation infrastructure assets, could cause substantial damages to infrastructure assets. Hence, it is critical to be able to accurately and rapidly detect them. However, it is expensive, time-consuming, and labor-intensive to survey sinkholes using conventional ground observation methods. Therefore, this study aims to develop accurate and rapid airborne LiDAR-based sinkhole detection and mapping methods and transfer the technologies to transportation engineers for implementation and workforce development. This project will also identify best practices for implementation of a state-level sinkhole hazard management system (SHMS). In addition, a guidebook will be developed for airborne LiDAR-based sinkhole detection and mapping for professional education and training. |