LIDAR derived forest metrics used to model red oak borer related oak decline
John J. Riggins, email@example.com, Jason A. Tullis, firstname.lastname@example.org, and Fred M. Stephen, email@example.com. (1) University of Arkansas, Department of Entomology, AGRI-319, University of Arkansas, Fayetteville, AR, (2) University of Arkansas, Department of Geosciences/Center for Advanced Spatial Technologies, 12 Ozark Hall, University of Arkansas, Fayetteville, AR
Small footprint discrete return aerial light detection and ranging (LIDAR) data were acquired over a 32 km2 portion of Ozark National Forest in Arkansas during September of 2006. Concomitant stand data were collected as ground reference. LIDAR derived canopy statistics (percentile height functions) were calculated, and an artificial intelligence data mining program (Cubist) was used to predict stand biomass.
Species 1: Coleoptera Cerambycidae Enaphalodesrufulus (red oak borer)