Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/27670| Title: | Potential sinkhole identification with light detection and ranging (LiDAR) data at Fort Leonard Wood, MO |
| Authors: | Tweddale, Scott A. (Scott Allen) |
| Keywords: | Sinkholes--Identification Remote sensing Geographic information systems Optical radar Digital elevation models Fort Leonard Wood (Mo.) |
| Publisher: | Construction Engineering Research Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Technical Report (Engineer Research and Development Center (U.S.)) ; ERDC/CERL TR-18-11 |
| Abstract: | This work used a bare-earth Digital Elevation Model (DEM) derived from airborne Light Detection and Ranging (LiDAR) data to identify potential sinkholes at Fort Leonard Wood, MO using Geographic Information Systems (GIS) algorithms. Potential sinkholes identified in the DEM were compared with known sinkhole locations to evaluate the utility of the 60cm spatial resolution bare-earth DEM as a tool for identifying potential sinkholes. Initially, 30 of 34 known sinkholes were correctly identified using the 60cm LiDAR-derived DEM with no size limit on the sinkholes and no depth threshold. With this size and depth threshold, a total of total of 973,875 potential sinkholes were identified in the study area (~32km²). Minimum size and depth thresholds for detected sinkholes were incrementally adjusted to become more restrictive while not sacrificing accuracy, resulting in the detection of fewer sinkholes, which in turn, reduced the likelihood of false positives. A final sinkhole size threshold of 27m² and depth threshold of 23cm were determined to be optimal. Using these thresholds, the tool identified 29 of 34 known sinkholes and 2,694 potential sinkholes. The same procedures were tested using 5m and 10m spatial resolution DEMs as input, but detection accuracies were significantly lower. |
| Description: | Technical Report |
| Gov't Doc #: | ERDC/CERL TR-18-11 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | http://hdl.handle.net/11681/27670 http://dx.doi.org/10.21079/11681/27670 |
| Appears in Collections: | Technical Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-CERL TR-18-11.pdf | 2.39 MB | Adobe PDF |  View/Open |