Tran-SET 2020
Sinkhole Detection and Mapping Using Airborne LiDAR—A Practical Workflow
Publication: Tran-SET 2020
ABSTRACT
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.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Filin, S., and Baruch, A. (2010). “Detection of sinkhole hazards using airborne laser scanning data. Photogramm. Eng. Rem. S., 76(5), 577–587.
Filin, S., Baruch, A., Avni, Y., and Marco, S. (2011). “Sinkhole characterization in the Dead Sea area using airborne laser scanning.” Nat. Hazards, 58(3), 1135–1154.
Hodgson, M. E., and Bresnahan, P. (2004). “Accuracy of airborne Lidar-derived elevation.” Photogramm. Eng. Rem. S., 70(3), 331–339.
Miao, X., Qiu, X., Wu, S. S., Luo, J., Gouzie, D. R., and Xie, H. (2013). “Developing efficient procedures for automated sinkhole extraction from Lidar DEMs.” Photogramm. Eng. Rem. S., 79(6), 545–554.
Seale, L. D., Florea, L. J., Vacher, H. L., and Brinkmann, R. (2008). “Using ALSM to map sinkholes in the urbanized covered karst of Pinellas County, Florida—1, methodological considerations. Eng. Geol., 54(5), 995–1005.
Thomas, B., and Roth, M. J. S. (1999). “Evaluation of site characterization methods for sinkholes in Pennsylvania and New Jersey.” Eng. Geol., 52(1), 147–152.
Vacher, H. L., Seale, L., Florea, L., and Brinkmann, R. “Using ALSM to map sinkholes in the urbanized covered karst of Pinellas County, Florida—2, accuracy statistics.” Eng. Geol., 54(5), 1007–1015.
Wang, L., and Liu, H. (2007). “An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling.” Int. J. Geogr. Inf. Sci., 20(2), 193–213.
Weary, D. (2015). “The cost of karst subsidence and sinkhole collapse in the United States compared with other natural hazards.” Proc. of the 14 Sinkhole Conference, Rochester, MN.
Zhang, S., Bogus, S. M., Baros, S.V., Neville, P. R. H., and Dow, R. (2019). “Karst sinkhole detecting and mapping using airborne LiDAR – a conceptual framework.” Proc. of Tran-SET 2019 Conference, San Antonio, TX.
Information & Authors
Information
Published In
Tran-SET 2020
Pages: 100 - 111
Editors: Craig Newtson, Ph.D., New Mexico State University, Susan Bogus Halter, Ph.D., University of New Mexico, and Marwa Hassan, Ph.D., Louisiana State University
ISBN (Online): 978-0-7844-8330-5
Copyright
© 2021 American Society of Civil Engineers.
History
Published online: Jan 12, 2021
Published in print: Jan 12, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.