Development of a Regional Lidar-derived Forest Inventory Model with Bayesian Model Averaging for use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico , USA

Development of a Regional Lidar-derived Forest Inventory Model with Bayesian Model Averaging for use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA Karis Tenneson 1*, Matthew S. Patterson 1,2, Thomas Mellin 3, Mark Nigrelli 4, Peter Joria 3, Brent Mitchell 1 1 RedCastle Resources, Inc. Contractor to USDA Forest Service Geospatial Technology and Applications Center, Salt Lake City, UT 84119, USA; krtenneson@fs.fed.us (K.T.); brentmitchell@fs.fed.us (B.M.) 2 Interdisciplinary PhD Program in Urban Design and Planning, University of Washington, Seattle, WA 98195, USA; maspatte@uw.edu 3 USDA Forest Service, Region 3 Regional Office, Albuquerque, NM 87102, USA; tmellin@fs.fed.us (T.M.); pjoria@fs.fed.us (P.J.) 4 USDA Forest Service, Coconino National Forest, Flagstaff, AZ 86001, USA; mnigrelli02@fs.fed.us * Correspondence: krtenneson@fs.fed.us; Tel.: +1-801-975-3768