<b>Mapping Sinkholes in </b> <b>Mitchell Plateau of Southern Indiana Using LIDAR</b>

Sinkholes are surface depressions caused by the lowering of the earth surface by dissolution of subsurface materials or by collapse of the surface into a void left behind by the removal of subsurface layers. Sinkholes can cause serious damage to properties and infrastructure, and sometimes human casualties occur in severe cases. In the United States, the cost incurred due to damages caused by sinkholes has been estimated to be over $300 million per year and the actual damage is likely to be much greater than this. Indiana is one of the many states in the country underlain by large areas of karst hence, has many known sinkholes. This research demonstrates the use of LIDAR technology in identifying sinkholes using the localized contour tree method.

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Journal

Title: ScienceOpen Posters

Publisher: ScienceOpen

Publication date (Electronic preprint): 27 November 2022

Affiliations

[1 ] University of Maryland, College Park

Author notes

[* ]Email: alawal@ 123456terpmail.umd.edu .

Author information

Afolarin Lawal https://orcid.org/0000-0002-0183-5435

Article

DOI: 10.14293/S2199-1006.1.SOR-.PP5ZVBK.v1

SO-VID: 0c445c1d-85ec-4d54-b041-1c89b627734e

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This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 27 November 2022

References

Weary David. The Cost of Karst Subsidence and Sinkhole Collapse in the United States Compared with Other Natural Hazards. Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Fourteenth Multidisciplinary Conference. 2015. University of South Florida Tampa Library. [Cross Ref]
Kim Yong Je, Nam Boo Hyun, Youn Heejung. Sinkhole Detection and Characterization Using LiDAR-Derived DEM with Logistic Regression. Remote Sensing. Vol. 11(13)2019. MDPI AG. [Cross Ref]
Wu Qiusheng, Deng Chengbin, Chen Zuoqi. Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. Geomorphology. Vol. 266:1–10. 2016. Elsevier BV. [Cross Ref]

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[1] Weary David. The Cost of Karst Subsidence and Sinkhole Collapse in the United States Compared with Other Natural Hazards. Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Fourteenth Multidisciplinary Conference. 2015. University of South Florida Tampa Library. [Cross Ref]

[2] Kim Yong Je, Nam Boo Hyun, Youn Heejung. Sinkhole Detection and Characterization Using LiDAR-Derived DEM with Logistic Regression. Remote Sensing. Vol. 11(13)2019. MDPI AG. [Cross Ref]

[3] Wu Qiusheng, Deng Chengbin, Chen Zuoqi. Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. Geomorphology. Vol. 266:1–10. 2016. Elsevier BV. [Cross Ref]

Mapping Sinkholes in Mitchell Plateau of Southern Indiana Using LIDAR