REFEREED PUBLICATIONS:

Sullivan, A., R. McGaughey, H.-E. Andersen, and P. Schiess. 2009. Object-oriented classification of forest structure from light detection and ranging data for stand mapping. Western Journal of Applied Forestry 24(4):198-204.

Kim, S., R.J. McGaughey, H.-E. Andersen, and G. Schreuder. 2009. Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data. Remote Sensing of Environment 113(8): 1575-1586.

Andersen, H.-E., T. Clarkin, K. Winterberger, and J. Strunk. 2009. An accuracy assessment of geographic coordinates obtained using survey- and recreational-grade GPS receivers across a range of forest conditions within the Tanana Valley of interior Alaska. Western Journal of Applied Forestry 24(3): 128-136.

Andersen, H.-E. 2009. Using airborne lidar to characterize forest stand condition on the Kenai Peninsula of Alaska. Western Journal of Applied Forestry. 24(2): 95-102.

Pang, Y., M. Lefsky, H.-E. Andersen, M. Miller, and K. Sherrill. 2008. Validation of the ICESat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data. Canadian Journal of Remote Sensing, Vol. 34, Supplement 2, pp. S471-S484.

Li, Y., H.-E. Andersen, and R.J. McGaughey. 2008. A comparison of statistical methods for estimating forest biomass from light detection and ranging data. Western Journal of Applied Forestry 23(4): 223-231.

Breidenbach, J., E. Kublin, R. McGaughey, H.-E. Andersen, and S. Reutebuch. 2008. Mixed-effects models for estimating stand volume by means of small footprint airborne laser scanner data. The Photogrammetric Journal of Finland 21(1): 4-15.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2008. Assessing the influence of flight parameters, interferometric processing, slope, and canopy density on the accuracy of X-band IFSAR-derived forest canopy height models. International Journal of Remote Sensing 29(5): 1495-1510.

Andersen, H.-E., and J. Breidenbach. 2007. Statistical properties of mean stand biomass estimators in a lidar-based double sampling forest survey design. Proceedings of the ISPRS workshop on Laser Scanning, Espoo, Finland, September 12-14, 2007.

Breidenbach, J., R.J. McGaughey, H.-E. Andersen, G. Kandler, and S.E. Reutebuch. 2007. A mixed-effects model to estimate stand volume by means of small footprint airborne lidar data for an American and a German study site. Proceedings of the ISPRS workshop on Laser Scanning, Espoo, Finland, September 12-14, 2007.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods. Canadian Journal of Remote Sensing 32(5): 355-366. Awarded Second Place in the "CJRS Best Paper of the Year - 2006 Competition".

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. Chapter 3: Active remote sensing. In Computer Applications in Sustainable Forest Management, Edited by G. Shao and K. Reynolds. Springer-Verlag, Dordrecht.

Reutebuch, S., H.-E. Andersen, and R. J. McGaughey. 2005. LIDAR: An emerging tool for multiple resource inventory. Journal of Forestry 103(6):286-292.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2005. Accuracy of an IFSAR-derived digital terrain model under a conifer forest canopy. Canadian Journal of Remote Sensing 31(4): 283-288.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2005. Estimating forest canopy fuel parameters using LIDAR data. Remote Sensing of Environment 94:441:449.

Zhao, G., G. Shao, K.M. Reynolds, M.C. Wimberly, T. Warner, J.W. Moser, K. Rennolls, S. Magnussen, M. Kohl, H.-E. Andersen, G.A. Mendoza, L. Dai, A. Huth, L. Zhang, J. Brey, Y. Sun, R. Ye, B.A. Martin, and F. Li. 2005. Digital Forestry: A White Paper. Journal of Forestry 103(1):47-50.

Andersen, H.-E., R.J. McGaughey, W. Carson, S. Reutebuch, B. Mercer, and J. Allan. 2003. A comparison of forest canopy models derived from LIDAR and INSAR data in a Pacific Northwest conifer forest. International Archives of Photogrammetry and Remote Sensing, Dresden, Germany, Vol. XXXIV, Part 3 / W13.

Reutebuch, S., R. J. McGaughey, H.-E. Andersen, and W. Carson. 2003. Accuracy of a high-resolution LIDAR-based terrain model under a conifer forest canopy. Canadian Journal of Remote Sensing 29(5): 1-9.

Andersen, H.-E., S. Reutebuch, and G. Schreuder. Bayesian object recognition for the analysis of complex forest scenes in airborne laser scanner data. 2002. International Archives of Photogrammetry and Remote Sensing, Graz, Austria, Vol. XXXIV, Part 3A, pp. 35-41

Non-Refereed Publications:

Andersen, H.-E., T. Barrett, K. Winterberger, J. Strunk, and H. Temesgen. 2009. Estimating forest biomass on the western lowlands of the Kenai Peninsula of Alaska using airborne lidar and field plot data in a model-assisted sampling design. Proceedings of the IUFRO Division 4 Conference: “Extending Forest Inventory and Monitoring over Space and Time,” Quebec City, Canada, May 19-22, 2009.

Barrett, T., H.-E. Andersen, and K. Winterberger. 2009. Integrating field and lidar data to monitor Alaska’s boreal forest. Proceedings of the IUFRO Division 4 Conference: “Extending Forest Inventory and Monitoring over Space and Time,” Quebec City, Canada, May 19-22, 2009. In press.

Gatziolis, D., and H.-E. Andersen. 2008. A guide to LIDAR data acquisition and processing for the forests of the Pacific Northwest. General Technical Report PNW-GTR-768. U.S. Department of Agriculture Forest Service, Pacific Northwest Research Station, Portland, OR.

Kim, S., G. Schreuder, R.J. McGaughey, and H.-E. Andersen. 2008. Individual tree species identification using lidar intensity data. Proceedings of the ASPRS 2008 Annual Conference, Portland, Oregon, April 28-May 2, 2008.

McGaughey R.J., S.E. Reutebuch, and H.E. Andersen. 2007. Creation and use of LIDAR intensity images for natural resource applications. Proceedings of the 21st Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resources Assessment, Terre Haute, Indiana, USA, May 15-17, 2007.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2006. Assessing the influence of flight parameters and interferometric processing on the accuracy of X-band IFSAR-derived forest canopy surface models. Proceedings of the EARSeL Workshop on 3D Remote Sensing in Forestry, Vienna, Austria, February 14 - 15, 2006.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2005. Forest measurement and monitoring using high-resolution airborne lidar. In: Harrington, C.A. and S.H. Schoenholtz, eds., Productivity of Western Forests: A Forest Products Focus. General Technical Report PNW-GTR-642. U.S. Department of Agriculture Forest Service, Pacific Northwest Research Station, Portland, OR.

Andersen, H.-E., R.J. McGaughey, S. Reutebuch, G. Schreuder, J. Agee, and B. Mercer. 2004. Estimating canopy fuel parameters in a Pacific Northwest conifer forest using multifrequency polarimetric IFSAR. International Archives of Photogrammetry and Remote Sensing, Istanbul, Turkey, Vol. XXXV, Part B.

Andersen, H.-E., R.J. McGaughey, S. Reutebuch, W. Carson and G. Schreuder. 2004. Estimating forest crown fuel variables using LIDAR data. Proceedings of the Annual ASPRS Conference, Denver, May 23-28, 2004. American Society of Photogrammetry and Remote Sensing, Bethesda, MD.

Andersen, H.-E., R.J. McGaughey, S. Reutebuch, W. Carson and G. Schreuder. 2004. Estimating forest crown fuel variables using LIDAR data. Proceedings of the Annual ASPRS Conference, Denver, May 23-28, 2004. American Society of Photogrammetry and Remote Sensing, Bethesda, MD.

McGaughey, R.J., W. Carson, S. Reutebuch, and H.-E. Andersen. 2004. Direct measurement of individual tree characteristics from LIDAR data. Proceedings of the Annual ASPRS Conference, Denver, May 23-28, 2004. American Society of Photogrammetry and Remote Sensing, Bethesda, MD.

Carson, W., Andersen, H.-E., S. Reutebuch, and R.J. McGaughey. 2004. LIDAR applications in forestry – An overview. Proceedings of the Annual ASPRS Conference, Denver, May 23-28, 2004. American Society of Photogrammetry and Remote Sensing, Bethesda, MD.

Andersen, H.-E., J. Foster, and S. Reutebuch. Estimating forest structure parameters within Fort Lewis Military Reservation using airborne laser scanner (LIDAR) data. 2003. Proceedings of the Second International Precision Forestry Symposium, USA, June 16-18, 2003.

Reutebuch, S., H.-E. Andersen, K. Ahmed, T. Curtis. Evaluation of laser light detection and ranging (LIDAR) measurements in a forested area. 2003. In: Curtis, R., D. Marshall, and D. DeBell, eds., Silvicultural options for young-growth Douglas-fir forests: The Capitol Forest Study—Establishment and First Results. General Technical Report PNW-598. Portland, OR. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station.

Andersen, H.-E., S. Reutebuch, and G. Schreuder. Automated individual tree measurement through morphological analysis of a LIDAR-based canopy surface model. 2001. Proceedings of the First International Precision Forestry Symposium, Seattle, WA, USA, June 17-20, 2001

Andersen, H.-E., S. Reutebuch, and G. Keane. Locating dead timber using two scales of color aerial photography on the Warm Springs Reservation, Oregon. 1999. Proceedings of the 17th Biennial Workshop on Color Photography and Videography in Resource Assessment, Reno, NV, USA, May 5-7, 1999

Theses and professional papers:

Andersen, Hans-Erik. 2003. Estimation of critical forest structure metrics through the spatial analysis of airborne laser scanner data. Ph.D. dissertation, University of Washington, Seattle.

Andersen, Hans-Erik. 1998. Automated measurement of forest stand height using digital photogrammetry. Professional paper, International Institute for Aerospace Survey and Earth Sciences (ITC), Enschede, The Netherlands.

Andersen, Hans-Erik. 1997. Photographic scale effects on the detection of forest mortality : implications for the timber salvage planning in Warm Springs Indian Reservation, Oregon. Professional paper (M.S.), University of Washington, Seattle.

Conference Presentations:

Strunk, J., H. Temesgen, and H.-E. Andersen. 2009. Analysis of sampling alternatives to estimate selected inventory attributes from LiDAR. Presentation at the 2009 Western Mensurationists’ Meeting, Vancouver, WA, June 21-23, 2009.

Andersen, H.-E., T. Barrett, K. Winterberger, J. Strunk, and H. Temesgen. 2009. Estimating forest biomass on the western lowlands of the Kenai Peninsula of Alaska using airborne lidar and field plot data in a model-assisted sampling design. Presentation at the IUFRO Division 4 Conference: “Extending Forest Inventory and Monitoring over Space and Time,” Quebec City, Canada, May 19-22, 2009.

Barrett, T., H.-E. Andersen, and K. Winterberger. 2009. Integrating field and lidar data to monitor Alaska’s boreal forest. Presentation at the IUFRO Division 4 Conference: “Extending Forest Inventory and Monitoring over Space and Time,” Quebec City, Canada, May 19-22, 2009.

Andersen, H.-E. 2009. Using lidar for forest assessment and monitoring. Invited presentation at meeting to explore potential collaboration between USDA Forest Service and Brazilian Agricultural Research Agency (Embrapa) and Brazilian Forest Service, Brasilia, Brazil, April 14-16, 2009.

Andersen, H.-E. 2009. Using lidar for forest assessment and monitoring. Invited presentation at graduate-level seminar, University of Alaska-Fairbanks, November 6, 2009.

Andersen, H.-E., K. Winterberger, and T. Clarkin. 2008. Using advanced GPS technology to improve the accuracy of plot coordinates in the Alaska forest inventory. Presentation at the FIA Science Symposium, Salt Lake City, UT, Oct. 21-23, 2008.

Andersen, H.-E., and K. Winterberger. 2008. Use of airborne laser scanning as a component of a multi-level forest inventory sampling design on the Kenai Peninsula of Alaska. Presentation at the 12^th Biennial USDA Forest Service Remote Sensing Applications Conference (RS-2008), Salt Lake City, UT, April 15-17, 2008.

Andersen, H.-E. 2008. Forest assessment and monitoring using LIDAR. Presentation at the Society of American Foresters (SAF) Cook Inlet Chapter Meeting, Anchorage, AK, April 4, 2008.

Andersen, H.-E, K. Winterberger, and T. Barrett. 2008. Use of active satellite remote sensing to estimate biomass/carbon: An (Alaska) FIA perspective. Presentation at the NASA Veg3D and Biomass Workshop: Defining Science and Measurement Requirements for Future Spaceborne Missions, Charlottesville, VA, March 3-5, 2008.

Andersen, H.-E. 2007. Forest measurement and monitoring using LIDAR. Presentation at the Alaska Northern Forests Cooperative Meeting, Fairbanks, AK, October 17-18, 2007.

Andersen, H.-E. 2007. Forest measurement and monitoring using LIDAR. Presentation at the Society of American Foresters (SAF) Alaska Regional Meeting,, Anchorage, AK, April 27, 2007.

Andersen, H.-E. and R.J. McGaughey. 2007. A method to generate detailed forest canopy surface models through the fusion of high-resolution X-band radar backscatter and interferometric height data. Presentation at the Alaska Surveying and Mapping Conference, Fairbanks, AK, March 19-23, 2007.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2007. National Lidar Initiative Meeting: A US Forest Service Perspective. Presentation at the First National Lidar Initiative Meeting, February 14-16, 2007, Reston, VA.

McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2006. Characterizing vegetation structure using discrete-return airborne laser scanner data. Presentation at the Annual Conference of The Wildlife Society, Anchorage, AK, September 25-27, 2006.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. Forest measurement and monitoring using high-resolution airborne LIDAR. Society of American Foresters (SAF) North Puget Sound Chapter meeting, Mount Vernon, WA, June 14, 2006.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. Forest measurement and monitoring using high-resolution airborne LIDAR. Oregon State University American Society of Photogrammetry and Remote Sensing (ASPRS) Student Chapter meeting, Corvallis, OR, June 2, 2006.

McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2006. Considerations for planning, acquiring, and processing LIDAR data for forestry applications. Eleventh Biennial USDA Forest Service Remote Sensing Applications Conference, Salt Lake City, UT, April 24-28, 2006.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. Forest measurement and monitoring using high-resolution airborne LIDAR. Society of American Foresters (SAF) South Puget Sound Chapter meeting, Fife, WA, March 16, 2006.

McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2006. LIDAR remote sensing for characterizing and visualizing vegetation structure. Presentation to the NOAA National Marine Fisheries Staff, Seattle, WA, March 15, 2006.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. Assessing the influence of flight parameters and interferometric processing on the accuracy of X-band IFSAR-derived forest canopy surface models. EARSeL Workshop on 3D Remote Sensing in Forestry, Vienna, Austria, February 14-15, 2006.

McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2005. LIDAR applications in forestry. Presentation at the Annual Meeting of the University of Washington College of Forest Resources Alumni Association, Seattle, WA, November 4, 2005.

McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2005. LIDAR Remote Sensing for characterizing and visualizing vegetation structure. National Meeting of the Society of American Foresters, Fort Worth, TX, October 19-23, 2005.

Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2005. Remote sensing research within the UW Precision Forestry Cooperative. Weyerhaeuser Western Forestry Research Conference, Skamania, WA, October 13, 2005.

McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2005. Comparing estimates of canopy structure derived from leaf-on and leaf-off airborne laser scanner data. Silviscan: Lidar Applications in Forest Assessment and Inventory, Blacksburg, Virginia, September 29 - October 1, 2005.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2005. Assessment of LIDAR-derived forest measurements as a source of data for forest growth models. Silviscan: Lidar Applications in Forest Assessment and Inventory, Blacksburg, Virginia, September 29 - October 1, 2005.

Schreuder, G.F. and H.-E. Andersen. 2005. Precision Forestry: Application of Advanced Technologies to Forest Resource Management. XXII IUFRO World Congress, Brisbane, Australia, August 8-13, 2005.

Schreuder, G.F., H.-E. Andersen, R.J. McGaughey and S.E. Reutebuch. 2005. Precision Forestry: Application of Advanced Technologies to Forest Resource Management. Western Mensurationists' Meeting, Hilo, Hawaii, July 4-7, 2005.

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2005. The use of high-resolution, active airborne remote sensing technologies to support precision forestry. Second Appalachian Remote Sensing Conference, West Virginia University, Morgantown, West Virginia, May 11, 2005. (invited keynote speaker)

Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2004. Forest measurement using high-resolution airborne LIDAR. Productivity of Western Forests: A Forest Products Focus, Olympia, Washington, September 21-23, 2004. (invited speaker)

Andersen, Hans-Erik, Gerard Schreuder, Robert McGaughey, Stephen Reutebuch, and Ward Carson. 2004. Estimating Forest Inventory Parameters using High-Resolution LIDAR and IFSAR. 1^st International Workshop on Digital Forestry, Beijing, China, June 14-18, 2004.

Andersen, H.-E., G.F. Schreuder, J. Agee, R.J. McGaughey, and S.E. Reutebuch. 2004. Canopy fuels measurements with LIDAR and IFSAR. Joint Fire Science Program (JFSP) Principal Investigator’s Workshop, Phoenix, Arizona, April 13-15, 2004. Received “Best Presentation Award” out of 67 presentations.

Mercer, B., J. Allan, C. Hoffman, M. Schwaebisch, S. Reutebuch, W. Carson, and H.-E. Andersen. P-Band Polarimetric InSAR (PolInSAR) for extraction of ground DTM beneath forest canopy. 2003. International Geoscience and Remote Sensing Symposium, Toulouse, France, July 21-25, 2003

Mercer, B., J. Allan, N. Glass, C. Hoffman, M. Schwaebisch, S. Reutebuch, W. Carson, and H.-E. Andersen. Extraction of Bare-Earth DEMs Beneath Forest Canopy Using P-Band Polarimetric InSAR (PolInSAR). 2003. Advanced SAR Workshop, Saint-Hubert, Quebec, Canada, June 25-27, 2003.

Andersen, H.-E., R.J. McGaughey, W. Carson, S. Reutebuch, B. Mercer, and J. Allan. An evaluation of canopy height models obtained from LIDAR and InSAR data in a Pacific Northwest conifer forest. 2003. International Archives of Photogrammetry and Remote Sensing, Portland, Oregon, 2003

Mercer, B., J. Allan, N. Glass, S. Reutebuch, W. Carson, and H.-E. Andersen. Extraction of ground DEMs beneath forest canopy using P-band polarimeteric InSAR (PolInSAR). 2003. International Archives of Photogrammetry and Remote Sensing, Portland, Oregon, 2003

Andersen, H.-E., R.J. McGaughey, W. Carson, S. Reutebuch, B. Mercer, and J. Allan. An evaluation of canopy height models obtained from LIDAR and InSAR data in a Pacific Northwest conifer forest. 2003. Second International Precision Forestry Symposium, Seattle, USA, June 16-18, 2003

Andersen, H.-E. Estimation of critical forest structure metrics through the spatial analysis of airborne laser scanner data. 2003. Olympic Natural Resources Center Winter 2003 GIS Conference, Forks, WA, February 27-28, 2003. (invited speaker)

Andersen, H.-E. The use of airborne laser scanner data (LIDAR) for forest measurement applications. 2002. Western Mensurationists Conference, Leavenworth, WA, June 23-25, 2002. (invited speaker)

Means, J.E., K.Winterberger, H-E. Andersen, and D. Marshall. Estimating and mapping forest structural characteristics with small-footprint LIDAR. 2002. Workshop on Three-dimensional Analysis of Forest Structure and Terrain using LIDAR Technology, Victoria, BC, Canada, March 14-15, 2002.

I have reviewed papers for several journals, including Photogrammetric Engineering and Remote Sensing, Canadian Journal of Remote Sensing, Canadian Journal of Forest Research, Forest Biometry, Modelling, and Information Sciences, International Journal of Remote Sensing, Forest Science, Journal of Vegetation Science, Remote Sensing of Environment, and Scandinavian Journal of Forest Research.