KARST DEPRESSION CHARACTERIZATION USING LIDAR AND FIELD TRAVERSES: FORT HOOD MILITARY INSTALLATION, TEXAS
The focus of this study was the refinement of the depression database by employing additional filtering mechanisms to existing buffers to insure that this terrain is adequately characterized with respect to natural karst and anthropogenic features associated with military activity. Field traverses (n=33) and random point checks (n=100) were conducted to verify karst features remaining in the depression databases. Results show that filtering mechanisms based on lithology and proximity to natural water bodies accurately characterized karst depressions. Filtering mechanisms associated with minor roads were least accurate, mostly due to the ephemeral nature of road building in military training areas. Minor roads and bypass features created and utilized by wheeled and tracked machinery as a part of military traverses in the training areas caused this filtering mechanism to report higher error associated with the characterization of anthropogenic and natural karst depressions.