Remote Sens. 2010, 2(11), 2629-2642; doi:10.3390/rs2112629
Article

DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects

1 WV GIS Technical Center, Department of Geology & Geography, 330 Brooks Hall, West Virginia University, Morgantown, WV 26505 USA 2 Department of Renewable Resources, University of Wyoming, Laramie, 1000 E. University Ave. WY 82071, USA
* Author to whom correspondence should be addressed.
Received: 25 September 2010; in revised form: 12 October 2010 / Accepted: 8 November 2010 / Published: 23 November 2010
(This article belongs to the Special Issue LiDAR)
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Abstract: Topography and land cover characteristics can have significant effects on infiltration, runoff, and erosion processes on watersheds. The ability to model the timing and routing of surface water and erosion is affected by the resolution of the digital elevation model (DEM). High resolution ground-based Light Detecting and Ranging (LiDAR) technology can be used to collect detailed topographic and land cover characteristic data. In this study, a method was developed to remove vegetation from ground-based LiDAR data to create high resolution DEMs. Research was conducted on intensively studied rainfall–runoff plots on the USDA-ARS Walnut Gulch Experimental Watershed in Southeast Arizona. LiDAR data were used to generate 1 cm resolution digital surface models (DSM) for 5 plots. DSMs created directly from LiDAR data contain non-surface objects such as vegetation cover. A vegetation removal method was developed which used a slope threshold and a focal mean filter method to remove vegetation and create bare earth DEMs. The method was validated on a synthetic plot, where rocks and vegetation were added incrementally. Results of the validation showed a vertical error of ±7.5 mm in the final DEM.
Keywords: topography; rainfall-runoff plots; vegetation removal; DSM; bare earth model

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MDPI and ACS Style

Sharma, M.; Paige, G.B.; Miller, S.N. DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects. Remote Sens. 2010, 2, 2629-2642.

AMA Style

Sharma M, Paige GB, Miller SN. DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects. Remote Sensing. 2010; 2(11):2629-2642.

Chicago/Turabian Style

Sharma, Maneesh; Paige, Ginger B.; Miller, Scott N. 2010. "DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects." Remote Sens. 2, no. 11: 2629-2642.

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