Sinkhole Detection and Mapping Using Airborne LiDAR—A Practical Workflow

Sinkholes pose a severe threat to transportation infrastructure. Therefore, being able to accurately detect and map existing sinkholes is very important for transportation infrastructure risk management, and ultimately, leading to more informed planning of transportation infrastructure and public safety. Traditionally, sinkholes are primarily detected through area reconnaissance method, which is expensive, time-consuming, labor-intensive, and potentially dangerous to the inspectors. To overcome these challenges, this study explored the utility of airborne LiDAR in detecting and mapping existing sinkholes. Using airborne LiDAR point cloud as the input, digital terrain models were created and used to develop preliminary sinkhole maps. Then object-based image analysis techniques were used to delineate sinkhole boundaries to create final sinkhole maps. Additionally, auxiliary context information was used to further improve the final sinkhole maps. Results revealed that the practical workflow developed in this research can be effectively used to detect and map existing sinkholes from airborne LiDAR data.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 100-111
  • Monograph Title: Tran-SET 2020

Subject/Index Terms

Filing Info

  • Accession Number: 01762788
  • Record Type: Publication
  • ISBN: 9780784483305
  • Files: TRIS, ASCE
  • Created Date: Jan 12 2021 3:03PM