1. Cone morphology classes are evident at Newberry Morphology / degradation state may be a function of time Significant cone alignment patterns are evident at Newberry and associated with regional fault trends Crustal structures appear to control magma ascent  Newly published techniques in lineament analysis may strengthen Newberry interpretations New LIDAR data set provides rich research opportunity  High-resolution LIDAR useful for drainage mapping  LIDAR highly applicable to mapping lava flows  LIDAR-based cone morphology models are promising The Newberry glacial “ice cap” hypothesis needs to be reckoned with in relation to cone morphology models SUMMARY AND CONCLUSION

2. Future Work Systematic analysis of LIDAR elevation models Coordination of cone morphology studies with flow mapping Use of cone morphology classes to guide geochemical sampling and radiometric dating studies Use of cone morphology classes to guide soil chronosequence work Use of cone alignment patterns to further investigate the relationship between fault mechanics, stress regime, and magma emplacement mechanisms

3. ACKNOWLEDGMENTS Dr. Jeff Templeton – Colleague and all-round family guy. Funding Sources: Western Oregon University Faculty Development Fund, US Geological Survey Small Grants Program, Cascades Volcano Association WOU Student Research Assistants: Jeff Budnick, Chandra Drury, Jamie Fisher, Tony Faletti Denise Giles, Diane Hale, Diane Horvath, Katie Noll, Rachel Pirot, Summer Runyan, Ryan Adams, ES407 2011 Team