Blog Archives

New article on sinkhole detection published in Geomorphology

My new peer-reviewed article titled “Automated delineation of karst sinkholes from LiDAR-derived digital elevation models” has been published in the latest issue of Geomorphology. You can download a free online copy using this link: http://authors.elsevier.com/a/1T3d9_,Oh6mAl8 (expires on July 8, 2016). In this paper, we present a localized contour tree method for automated extraction of sinkholes in karst landscapes. The study area was Fillmore County in southeastern Minnesota, USA. See some figures below:

Fig1_study_area

Fig. 1. Distribution of sinkhole inventory points in Fillmore County, Minnesota, USA.

Fig2_contour_tree

Fig. 3. Contour representation of a compound surface depression. (a) Contours overlain on DEM shaded relief. (b) Elevation profile of the transect A–B shown in (a).

Fig7_sinkhole_distriutions

Fig. 8. LiDAR DEM shaded relief (a) and examples of extracted sinkhole boundaries overlain on LiDAR DEM shaded relief (b) and color infrared aerial imagery (c).

Fig9_sinkhole_comparison

Fig 9. Sinkhole boundaries delineated using different methods. (a) The sink-filling method. (b) The localized contour tree method.

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Dr. Qiusheng Wu @ SUNY Binghamton

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Dr. Qiusheng Wu @ SUNY Binghamton