Donovan, G.H., Prestemon, J.P., Gatziolis, D., Michael, Y.L., Kaminski, A.R., and Dadvand, P. 2022. The association between tree planting and mortality: A natural experiment and cost-benefit analysis. Environment International, 170, 107609; doi:10.1016/j.envint.2022.107609.

Donovan, G.H., Gatziolis, D., Derrien, M., Michael, Y.L., Prestemon, J.P., and Douwes, J. 2022. Shortcomings of the normalized difference vegetation index as an exposure metric. Nature Plants, 8, 617-622; doi:10.1038/s41477-022-01170-6.

Comess, S., Donovan, G., Gatziolis, D., and Deziel, N.C. 2021. Exposure to atmospheric metals using moss bioindicators and neonatal health outcomes in Portland, Oregon. Environmental Pollution, 284, 117343; doi:10.1016/j.envpol.2021.117343.

Jovan, S.E., Monleon, V.J., Donovan, G.H., Gatziolis, D., and Amacher, M.C. 2021. Small-scale distributions of polycyclic aromatic hydrocarbons in urban areas using geospatial modeling: A case study using the moss Orthotrichum lyellii in Portland, Oregon, U.S.A.. Atmospheric Environment, 256, 118433; doi:10.1016/j.atmosenv.2021.118433.

Donovan, G.H., Gatziolis, D., 't Mannetje, A., Weinkove, R., Fyfe, C., and Douwes, J. 2021. An empirical test of the biodiversity hypothesis: Exposure to plant diversity is associated with a reduced risk of childhood acute lymphoblastic leukemia. Science of the Total Environment, 768, 144627; doi:10.1016/j.scitotenv.2020.144627.

Donovan, G.H., Landry, S.M., and Gatziolis, D.. 2021. The natural environment, plant diversity, and adult asthma: A retrospective observational study using the CDC’s 500 Cities Project Data. Health and Place, 67, 102494; doi:10.1016/j.healthplace.2020.102494.

Lister, A.J., Andersen, H., Frescino, T., Gatziolis, D., Healey, S., Heath, L.S., Liknes, G.C., McRoberts, R., Moisen, G.G., Nelson, M., Riemann, R., Schleeweis, K., Schroeder, T.A., Westfall, J., and Wilson, B.T. 2020. Use of remote sensing data to improve the efficiency of National Forest inventories: A case study from the United States National Forest Inventory. Forests, 11, 1364; doi:10.3390/f11121364.

Strunk, J., Gould, P., Packalen, P., Gatziolis, D., Greblowska, D., Maki, C., and McGaughey, R.J. 2020. Evaluation of pushbroom DAP relative to frame camera DAP and lidar for forest modeling. Remote Sensing of Environment, 237, 111535; doi:10.1016/j.rse.2019.111535.

Donovan, G., Michael, Y., Gatziolis, D., t Mannetje, A., and Douwes, J. 2019. Exposure to the natural environment and rurality is protective of ADHD in a large birth cohort of New Zealand children. Environmental Epidemiology, 3, 130; doi:10.1097/01.EE9.0000606828.91714.5b.

Gatziolis, D. and McGaughey, R.J. 2019. Reconstructing aircraft trajectories from multi-return airborne saser-scanning data. Remote Sensing, 11, 2258; doi:10.3390/rs11192258.

Strunk, J., Packalen, P., Gould, P., Gatziolis, D., Maki, C., Andersen, H.-E., and McGaughey, R.J. 2019. Large area forest yield estimation with pushbroom digital aerial photogrammetry. Forests, 10, 397; doi:10.3390/f10050397.

Donovan, G.H., Gatziolis, D., and Douwes, J. 2019. Relationship between exposure to the natural environment and recovery from hip or knee arthroplasty: a New Zealand retrospective cohort study. BMJ Open, 9:e029522. doi:10.1136/bmjopen-2019-029522.

Gernes, R., Brokamp, C., Rice, G.E., Wright, J.M., Kondo, M.C., Michael, Y.L., Donovan, G.H., Gatziolis, D., Bernstein, D., LeMasters, G.K., Lockey, J.E., Khurana Hershey, G.K., and Ryan, P.H. 2019. Using high-resolution residential greenspace measures in an urban environment to assess risks of allergy outcomes in children. Science of the Total Environment, 668:760-767, doi:10.1016/j.scitotenv.2019.03.009.

Donovan, D.H., Michael, Y.L., Gatziolis, D., Mannatje, A.'t., and Douwer, J. 2019. Association between exposure to the natural environment, rurality, and attention-deficit hyperactivity disorder in children in New Zealand: a linkage study. The Lancet Planet Health, 3: e226-34.

Donovan, G.H., Gatziolis, D., Jakstis, K., and Comess, S. 2019. The natural environment and birth outcomes: Comparting 3D exposure metrics derived from LiDAR to 2D metrics based on the normalized difference vegetation index. Health & Place, 57:305-312, doi:10.1016/j.healthplace.2019.05.011.

Fankhauser, K.E., Strigul, N.S., and Gatziolis, D. 2018. Augmentation of traditional forest inventory and airborne laser scanning with unmanned aerial systems and photogrammetry for forest monitoring. Remote Sensing, 10, 1562; doi:10.3390/rs10101562.

Geoffrey H. Donovan, G.H., Michael, Y.L., Gatziolis, D., and Hoyer, R.W. 2018. The Relationship between the natural environment and individual-level academic performance in Portland, Oregon. Environment and Behavior, p. 1-23, doi:10.1177/0013916518796885.

Probst, A., Gatziolis, D., Liénard, J.F., and Strigul, N.S. 2018. Intercomparison of photogrammetry software for three-dimensional vegetation modelling. Royal Society Open Science, 5:172192, doi:10.1098/rsos.172192.

Donovan, G.H., Gatziolis, D., Longley, I., and Douwes, J. 2018. Vegetation diversity protects against childhood asthma: results from a large New Zealand birth cohort. Nature Plants, 4:358-364, doi:10.1038/s41477-018-0151-8.

Yoga, S., Bégin, J., St-Onge, B., and Gatziolis, D. 2017. Lidar and multispectral imagery classifications of Balsam fir tree status for accurate predictions of merchantable volume. Forests, 8,253, doi: 10.3390/f8070253.

Liénard, J.F., Lynn, K., Strigul, N.S., Norris, B.K., Gatziolis, D., Mullarney, J.C., Karin, R.B., and Henderson, S.M. 2016. Efficient three-dimensional reconstruction of aquatic vegetation geometry: Estimating morphological parameters influencing hydrodynamic drag. Estuarine, Coastal and Shelf Science, 178:77-85, doi:0.1016/j.ecss.2016.05.011.

Donovan, G.H., Jovan, S.E., Gatziolis, D., Burstyn, I., Michael, Y.L., and Monleon, V.J. 2016. Using an epiphytic moss to identify previously unknown sources of atmospheric cadmium pollution. Science of the Total Environment, 559:84-93, doi:10.1016/j.scitotenv.2016.03.182.

Strigul, N.S., Gatziolis, D., Liénard, J.F., and Vogs, A. 2016. Complementing forest inventory data with information from unmanned aerial vehicle imagery and photogrammetry. In Proceedings of the 2015 Forest Inventory and Analysis Symposium, Pushing boundaries: new directions in inventory techniques and applications, Stanton, S.M., and Christensen, G.A. (eds). December 8-10, 2015, Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931, US Department of Agriculture, Forest Service, Pacific Northwest Research Station, pp. 346-351.

Schrader-Patton, C., Liknes, G.C., Gatziolis, D., Wing, B.M., Nelson, M.D., Miles, P.D., Bixby, J., Wendt, D.G., Kepler, D., and Schaaf, A. 2016. Refining FIA plot locations using LiDAR point clouds. In Proceedings of the 2015 Forest Inventory and Analysis Symposium, Pushing boundaries: new directions in inventory techniques and applications, Stanton, S.M., and Christensen, G.A. (eds). December 8-10, 2015, Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931, US Department of Agriculture, Forest Service, Pacific Northwest Research Station, pp. 247-252.

Gatziolis, D., Jovan, S.E., Donovan, G.H., Amacher, M., and Monleon, V.L. 2016. Elemental atmospheric pollution assessment via moss-based measurements in Portland, Oregon. General Technical Report PNW-GTR-938. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 55p.

Liénard, J.F., Vogs, A., Gatziolis, D., and Strigul, N.S. 2016. Embedded, real-time UAV control for improved, image-based 3D scene reconstruction. Measurement, 81:264-269, doi:10.1016/j.measurement.2015.12.014.

Donovan, G.H., Cerveny, L.K., and Gatziolis, D. 2016. If you build it, will they come? Forest Policy and Economics, 62:135-140 doi:10.1016/j.forpol.2015.11.002.

Gatziolis, D., Liénard, J.F., Vogs, A., and Strigul, N.S. 2015. 3D Tree Dimensionality Assessment Using Photogrammetry and Small Unmanned Aerial Vehicles. PLoS ONE, 10(9): e0137765, doi:10.1371/journal.pone.0137765, 21pp.

Donovan, G.H., Michael, Y.L., Gatziolis, D., Prestemon, J.P., and Whitsel, E.A. 2015. Is tree loss associated with cardiovascular-disease risk in the Women's Health Initiative? A natural experiment. Health & Place, 35:1-7, doi:10.1016/j.healthplace.2015.08.007

Sheridan, R.D., S.C. Popescu, Gatziolis, D., C.L.S. Morgan, and N.-W. Ku. 2015. Modeling Forest Aboveground Biomass and Volume Using Airborne LiDAR Metrics and Forest Inventory and Analysis Data in the Pacific Northwest. Remote Sensing, 7:229-255 doi:10.3390/rs70100229.

Donovan, G.H., Butry, D.T., Michael, Y.L., Prestemon, J.P., Liebhold, A.M., Gatziolis, D., and Mao, M.Y. 2013. The relation between trees and human health: evidence from the spread of the emerald ash borer. American Journal of Preventive Medicine, 44(2):139-145.

Gatziolis. D. 2012. Advancements in LiDAR-based registration of FIA field plots. In Proceedings of the 11th Forest Inventory and Analysis Symposium, Moving from Status to Trends, Baltimore MD, December 6-8, 2012. General Technical Report NRS-P-105, p. 432-437.

Gatziolis, D.. 2012. Dynamic, LiDAR-based assessment of lighting conditions in Pacific Northwest forests. In Proceedings of Silvilaser 2012 - The 12th International Conference 'First return', Coops, N., Wulder, M., 16-19 September ,Vancouver, Canada.

Gatziolis, D. 2012. Evaluation of Landsat mapping of tree canopy cover based on photointerpretation and LiDAR-derived information. In Proceedings of 2012 international conference, September 11-14, Oregon State University, Corvallis, Oregon.

Gatziolis, D. 2012. Comparison of photointerpreted- and LiDAR-based estimates of forest canopy cover. In Proceedings of the 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists, October 5-7, 2010, Knoxville, Tennessee, McWilliams, W.; Roesch, F.A., (eds). Technical Report SRS-157. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, p. 231-235.

Zald, H.S.J., Spies, T.A., Huso, M, and Gatziolis, D. 2012. Climatic, landform, and canopy controls of tree invasion in a subalpine meadow landscape, Oregon Cascades, USA. < I> Landscape Ecology, doi:10.1007/s10980-012-9774-8.

Gatziolis, D. 2011. Dynamic range-based intensity normalization for airborne, discrete return LiDAR data for forest canopies. Photogrammetric Engineering and Remote Sensing, 77(3):251-259.

Gatziolis, D., Popescu, S., Sheridan, R., and Ku, N.-W. 2010. Evaluation of terrestrial LiDAR technology for the development of local tree volume equations. In Proceedings of SilviLaser 2010 - The 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, Koch, B., Kändler, G., Teguem, C. (eds), Freiburg, Germany, 14-17 September, p. 197-205.

Gatziolis D., Fried, J.S., Monleon, V.J. 2010. Challenges to estimating tree-height via LiDAR in closed-canopy forests: a parable from western Oregon. Forest Science, 56(2):139-155.

Gatziolis, D. 2009. Precise FIA plot registration using field and dense LiDAR data. In Proceedings of the eighth annual forest inventory and analysis symposium, McRoberts, R.E.; Reams, G.A.; Van Deusen, P.C.; McWilliams, W.H., (eds), 2006 October 16-19; Monterey, California. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. p. 243-249.

Gatziolis, D. 2009. LiDAR intensity normalization in rugged forested terrain. In Proceedings of the ISPRS 2009 Workshop, College Station, Texas, 14-16 October. Popescu S.; Nelson R.; Zhao K.; Neuenschwander A. (eds). ISBN 978-1-61623-997-8.

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

Gatziolis, D. 2007. An investigation of condition mapping and plot proportion calculation issues. In Proceedings of the 7th Annual Forest Inventory and Analysis Symposium, McRoberts R.E.; Reams, G.A.; Van Deusen, P.C.; McWilliams, W.H. (eds), October 3-6, 2005, Portland, Maine. USDA Forest Service, General Technical Report WO-77, Washington, DC, p. 70-75.

Gatziolis, D. 2007. LiDAR-derived Site Index in the U.S. Pacific Northwest - Challenges and opportunities. In Proceedings of the ISPRS Laser Scanning 2007 and SilviLaser 2007 Workshop, Espoo, Finland, 12-14 September 2007. Rönnholm, P.H.; Hyyppä, J. (eds). International Archives Photogrammetry Remote Sensing, 36(3/W52) pp. 136-143.

Gatziolis, D. 2006. Evaluation of tree height measurement accuracy using FIA and LiDAR data. In Proceedings of the 2006 National Convention, Society of American Foresters, Pittsburgh, Pennsylvania, October 25-29, 2006, Vol. II, p.965-983, ISBN: 978-1-60423-003-1.

Fried, J.S., Gatziolis, D., Gilless, J.K., Vogt, C.A., and Winter, G. 2006. Changing Beliefs and Building Trust at the Wildland-Urban Interface. Fire Management Today, 66(3):51-54.

Gatziolis, D. 2006. Forest canopy structure variable estimation from high resolution digital airborne imagery. In Proceedings of the Monitoring Science and Technology Symposium: Unifying Knowledge for Sustainability in the Western Hemisphere, Aguirre-Bravo et al., (eds), September 20-24, 2004, Denver, Colorado. RMRS-P-42CD, Fort Collins, Colorado. USDA Forest Service, Rocky Mountain Research Station, p. 783-789.

Barrett, T.M., Gatziolis, D., Fried, J.S., and Waddell, K.L. 2005. Sudden Oak Death in California: what is the potential. Journal of Forestry, 104(2):61-64.

Laurent, E.J., Shi, H., Gatziolis, D., LeBouton, J.P., Walters, M.B., and Liu, J. 2005. Using the spatial and spectral precision of satellite imagery to predict wildlife occurrence patterns. Remote Sensing of Environment, 97:249-262.

Gatziolis, D. and Fried, J.S. 2004. \ Adding gaussian noise to inaccurate digital elevation models improves spatial fidelity of derived drainage networks. Water Resources Research, 40, W02508.

Gatziolis, D., and J.S. Fried. 2003. An investigation of the influence of digital elevation model inaccuracies on terrain-based delineation of drainage networks. In Proceedings of the Eight Symposium on systems analysis in forest resources, Arthaud, G.J.; Barrett, T.M. (eds), Society of American Foresters, Sept. 27-30, 2000, Snowmass Village, Colorado. Boston: Kluwer Academic Publishers, p. 105-107.

Gatziolis, D., Fried, J.S. and Ramm, C.W. 2000. Monitoring the impacts of tracked vehicle training area use at Ft. Hood, TX: A GIS approach. In Proceedings of the Second International Conference on Geospatial Applications in Agriculture and Forestry, Lake Buena Vista, Florida, January, 10-12. Vol. I, p. 542-549. ERIM International, Ann Arbor, Michigan.