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College of Natural Resources

Physical Address:
975 W. 6th Street
Moscow, Idaho

Mailing Address:
875 Perimeter Drive MS 1142
Moscow, ID 83844-1142

Phone: 208-885-8981

Fax: 208-885-5534

Email: cnr@uidaho.edu

Web: College of Natural Resources

google maps location

Paul Gessler

Refereed Publications

Flathers, E. and P.E. Gessler. 2018. Building an Open Science Framework to Model Soil Organic Carbon. Special Section: Predicting Soil Carbon in Agroecosystems Under Climate Change.  Journal of Environmental Quality. DOI: 10.2134/jeq201708.0318

Flathers, E., J. Kenyon, and P.E. Gessler. 2017. A Service-Based Framework for the OAIS Model for Earth Science Data Management. Earth Science Informatics. Springer, DOI: 10.1007/s12145-017-0297-3

Valerio, M.W., P.A. McDaniel, and P.E. Gessler. 2016.  Distribution and Properties of Podzolized Soils in the Northern Rocky Mountains. Soil Science Society of America Journal 80 (5), 1308-1316.

Halmy, M.W., P.E. Gessler, and S.Z Heneidy. 2015. Implications of human induced changes on the distribution of important plant species in the northwestern coastal desert of Egypt. Renewable Energy and Sustainable Development, 1, 2:243-263

Halmy, M.W., and P.E. Gessler. 2015. The application of ensemble techniques for landcover classification in arid lands. International Journal of Remote Sensing. Vol. 36, No. 22:5613-5636.

Halmy, M.W., P.E. Gessler, J.A. Hicke, and B.B. Salem. 2015. Land use/cover change detection and prediction in the north-western coastal deserty of Egypt using Markov-CA.  Applied Geography 63:101-112.

White, K.P. , M.D. Coleman, D.S. Page-Dumroese, P.E. Gessler, M. Kimsey and T. Shaw. 2012. Examining soil parent material influence over Douglas-fir stem growth response to fertilization: taking advantage of information from spatiotemporally distributed experiments.  Forest Ecology and Management. 286 (2012): 101-107.

Tinkham, W.T., A.M.S. Smith, C. Hoffman, A.T. Hudak, M.J. Falkowski, M.E. Swanson, and P.E. Gessler. 2012. Investigating the influence of LIDAR ground surface errors on the utility of derived forest inventories. Canadian Journal of Forest Research. 42:413-422.

Brown, R., P. McDaniel, and P.E. Gessler. 2012. Terrain attribute modeling of volcanic ash distributions in northern Idaho. Soil Science Society of America Journal. 76(1): 1-9

Jewett, J., R.L. Lawrence, L. Marshall and P.E. Gessler. 2011. Spatiotemporal relationships between climate and whitebark pine mortality in the greater yellowstone ecosystem. Forest Science. 57(4): 320-335.

Sesnie, S., B. Finegan, P.E. Gessler, S. Rajaniemi, and A. Smith. 2010. The multispectral separability of Costa Rican rain forest composition and structural types with Landsat TM imagery and support vector machines. International Journal of Remote Sensing. 31(11):2885-2909.

Falkowski, M.J., A.T. Hudak, N.L. Crookston, P.E. Gessler, E.H. Ubeler and A.M.S. Smith. 2010. Landscape-scale parameterization of a tree-level forest growth model: A k-NN imputation approach incorporating LiDAR data. Canadian Journal of Forest Research.  40(2): 184-199.

Gorsevski P.V., P.E. Gessler and P. Jankowski. 2010. Integrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard. In Fischer MM and Getis A (eds), Handbook of Applied Spatial Analysis, Springer. Chpt. F-1, p. 653-680.

Eitel, J., D.S. Long, P.E. Gessler, E.R. Hunt, and D. Brown.  2009. Sensitivity of ground-based remote sensing estimates of wheat chlorophyll content to variation in soil reflectance.  Soil Science Society of America Journal. 73(5): 1715-1723.

Dickinson, J., A.Robinson, P.E. Gessler, A.M.S. Smith, and R.J. Harrod. 2009. Flatland in flames: a more simple canopy fire propagation model. International Journal of Wildland Fire. 18:527-535.

Falkowski, M.J., J. Evans, S. Martinuzzi, P.E. Gessler and A.T. Hudak. 2009. Characterizing forest succession with LiDAR data: an evaluation for the Inland Northwest, USA. Remote Sensing of Environment. 113(5):946-956.

Strand, E.K., L.A. Vierling, S.C Bunting, and P.E. Gessler. 2009. Quantifying successional rates in western aspen woodlands: Current conditions, future predictions. Forest Ecology and Management. 257(8):1705-1715. 

Gorsevski, P.V. and P.E. Gessler. 2009. The design and development of a hyperspectral and multispectral airborne mapping system. ISPRS Journal of Photogrammetry and Remote Sensing 64:184-192. 

Sesnie, S., B. Finegan, P. Gessler, Z. Ramos. 2009. Landscale-scale environmental and floristic variation in Costa Rican old-growth rain forest remnants. Biotropica. 41(1): 16-26.

Gessler, P., R. Pike, T. Hengl, R.A. MacMillan and H.I. Reuter. 2009. The future of geomorphometry. Chapter 28 In: Hengl, T., Reuter, H.I. (eds.), Geomorphometry: concepts, software, applications. Developments in Soil Science, Vol. 33, 637-651. Elsevier.

Nelson, A., H.I. Reuter and P. Gessler. 2009. DEM production methods and sources. Chapter 3 In: Hengl, T., Reuter, H.I. (eds.), Geomorphometry: concepts, software, applications. Developments in Soil Science, Vol. 33, 65-86. Elsevier.

Reuter, H.I., T. Hengl, P. Gessler and P. Soille. 2009. Preparation of DEMs for geomorphometric analysis. Chapter 4 In: Hengl, T., Reuter, H.I. (eds.), Geomorphometry: concepts, software, applications. Developments in Soil Science, Vol. 33, 87-120. Elsevier.

Falkowski, M.J., A.M.S. Smith, P.E. Gessler, A.T. Hudak, L.A. Vierling, and J.S. Evans. 2008. The influence of conifer forest canopy cover on the accuracy of two individual tree measurement algorithms using LiDAR data. Canadian Journal of Remote Sensing. Suppl. 2, 34:338-350.

Sesnie, S.E., P.E. Gessler, B. Finegan, and S. Thessler. 2008. Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments. Remote Sensing of Environment. Special Issue: Earth Observation for Biodiversity and Ecology. 112(5)2145-2159.

Eitel, J.U.H., D.S. Long, P.E. Gessler and E.R. Hunt. 2008. Combined spectral index to improve ground-based estimates of nitrogen status in dryland wheat. Agronomy Journal. 100:1694-1702.

Beck, R.N. and P.E. Gessler. 2008. Development of a Landsat time-series for the Inland Northwest and an application in forest status assessment. Western Journal of Applied Forestry. 23:1:53-60.

Eitel, J.U.H., D.S. Long, P.E. Gessler, and A.M.S.Smith. 2007. Using in-situ spectroradiometry to evalue RapidEye satellite data for prediction of wheat nitrogen status.  International Journal of Remote Sensing. Vol. 28.(18):4183-4190.

Eitel, J.U.H., P.E. Gessler, A.M.S. Smith, and R. Robberecht. 2006. Suitability of Existing NIR and Novel SWIR Spectral Indices to Remotely Detect Water Stress in Populus spp. Forest Ecology and Management. 229:170-182.  H

Lentile, L.B., Z.A. Holden, A.M.S. Smith, M.J. Falkowski, A.T. Hudak, P. Morgan, P.E. Gessler, N. Bensen, and C.H. Key. 2006. Remote sensing techniques to assess fire and fire effects. International Journal of Wildland Fire. 15:319-345.

Gorsevski, P.V., P.E. Gessler, J. Boll, W.J. Elliot, and R.B. Foltz. 2006. Spatially distributed process modeling of landslide hazard. Geomorphology. 80(3-4):178-198.

Falkowski, M.J., A.M.S. Smith, A.T. Hudak, P.E. Gessler, L.A. Vierling and N.L. Crookston. 2006. Automated Estimation of Individual Conifer Tree Height and Crown Diameter via Two-dimensional Wavelet Analysis of Lidar Data. Canadian Journal of Remote Sensing. 32(2):153-161. 

Hudak, A.T., N.L. Crookston, J.S. Evans, M.J. Falkowski, A.M.S. Smith, P.E. Gessler, and P. Morgan. 2006. Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data. Canadian Journal of Remote Sensing. 32(2):126-138.

Gorsevski, P.V., P.E. Gessler, R.B. Foltz and W.J. Elliot. 2006. Spatial prediction of landslide hazard using logistic regression and ROC analysis. Transactions in GIS. 10(3):395-415.

Gorsevski P.V., Jankowski P., and P.E. Gessler.  2006. Heuristic approach for mapping landslide hazard integrating fuzzy logic with analytic hierarchy process. Control and Cybernetics. 35(1): 121-146.

Williamson, T.N., P.E. Gessler, P.J. Shouse, and R.C. Graham. 2006. Pedogenesis-Terrain Links in zero-order watersheds after chaparral to grass vegetation conversion. Soil Science Society of America Journal. 70:2065-2074.

Strand, E.K., A.M.S. Smith, S.C. Bunting, L.A. Vierling, D.B. Hann, and P.E. Gessler. 2006. Wavelet estimation of plant spatial patterns in multi-temporal aerial photography. International Journal of Remote Sensing. 27(9-10):2049-2054. 

Holden, Z.A., A.M.S. Smith, P. Morgan, M.G. Rollins and P.E. Gessler. 2005. Evaluation of novel thermally enhanced spectral indices for mapping fire perimeters and comparisons with fire atlas data. International Journal of Remote Sensing, 26(217):4801-4808. 

Falkowski, M.J., P.E. Gessler, P. Morgan, and A.M.S. Smith. 2005. Evaluation of the ASTER sensor for fire fuels mapping in North Idaho. Forest Ecology and Management. 217:129-146. 

Gorsevski, P.V., P. Jankowski, and P.E. Gessler. 2005. Spatial prediction of landslide hazard using fuzzy K-means and Dempster-Shafer theory. Transactions in GIS. 9(4): 455-474. 

Robinson, A.P., A.L. Pocewicz, and P.E. Gessler. 2004. A cautionary note on scaling variables that appear only in products in ordinary least squares. Forest Biometry, Modeling and Information Systems 1:83-90.

Pocewicz, A., P.E. Gessler, and A.P. Robinson, 2004. The relationship between effective plant area index and Landsat spectral response across elevation, solar insolation, and spatial scales, in a northern Idaho forest. Canadian Journal of Forest Research 34:465-480.   

Gorsevski, P.V., P.E. Gessler, and P. Jankowski, 2003. Integrating a Fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard. Journal of Geographical Systems 5:223-251. 

Chamran, F., P.E. Gessler, and O.A. Chadwick, 2002. Spatially Explicit Treatment of Soil-Water Dynamics along a Semiarid Catena. Soil Science Society of America Journal. 66:1571-1583.

Vert, G., M. Stock, P. Jankowski, and P.E. Gessler. 2002. An architecture for the management of GIS datasets. Transactions in GIS. 6(3):259-275. 

Gessler, P.E., O.A. Chadwick, F. Chamron, K. Holmes, and L. Althouse. 2000. Modeling soil-landscape and ecosystem properties using terrain attributes. Soil Science Society of America Journal 64:2046-2056.

N.J. McKenzie, P.E. Gessler, P.J. Ryan, and D.A. O’Connell. 2000. The role of terrain analysis in soil mapping. In Terrain Analysis: Principles and Applications. J.P. Wilson and J.C. Gallant (Eds.). Chapter 10. John Wiley and Sons Ltd. New York.

Cook, S.E., R.J. Corner, G.J. Grealish, P.E. Gessler, and C.J. Chartres. 1996. A rule based system to map soil properties. Soil Science Society of America Journal. 60:1983-1900.

Gessler, P.E., I.D. Moore, N.J. McKenzie, and P.J. Ryan. 1995. Soil-landscape modeling and spatial prediction of soil attributes. Special issue: Integrating GIS and Environmental Modeling. International Journal of Geographical Information Systems, Volume 9(4):421-432. 

McSweeney, K., P.E. Gessler, B. Slater, D. Hammer, J. Bell, and G.W. Petersen. 1994. Towards a new framework for modeling the soil-landscape continuum. Chapter 8 In Factors of soil formation: a fiftieth anniversary retrospective. SSSA Special Pub. 33. p.127-145.

Hutchinson, M.F., and P.E. Gessler. 1994. Splines - more than just a smooth interpolator. Proceedings Pedometrics - 92: Developments in spatial statistics for soil science. September 1-3, 1992. Wageningen, Netherlands. Geoderma 62(1-3):45-67. 

Gallant, J.C., I.D. Moore, M.F. Hutchinson ,and P. Gessler. 1994. Estimating fractal dimension of profiles:a comparison of methods. Mathematical Geology. Vol. 26(4):455-481.

Moore, I.D., P.E. Gessler, G.A. Neilsen, and G.A. Petersen. 1993. Soil attribute prediction using terrain analysis. Soil Science Society of America Journal. 57:443-452. 

Moore, I.D., P.E. Gessler, G.A. Neilsen, and G.A. Petersen. 1993. Terrain analysis for soil-specific crop management. Chapter 3 In Soil specific crop management: a workshop on research and development issues. Minneapolis, Minnesota. April 14-16, 1992. p. 27-55.

Bolstad, P.V., P. Gessler, and T.M. Lillesand. 1990. Positional uncertainty in manually digitized map data. International Journal of Geographical Information Systems Vol. 4(4):399-412.

*You can view a full list of awards, and publications in Paul's CV.

Paul Gessler, Ph.D.

Professor of Remote Sensing and Geospatial Ecology

Office

CNR 17C

Phone

208-885-2595

Mailing Address

Department of Forest, Rangeland and Fire Sciences
University of Idaho
875 Perimeter Drive MS 1133
Moscow, Idaho 83844-1133

Degrees

  • Ph.D., Resource Management and Environmental Science (Environmental Modeling) 1996, Australian National University.
  • M.S., Environmental Monitoring (Remote Sensing) 1990, University of Wisconsin-Madison
  • B.S., Natural Resources (Soil Science) 1986, University of Wisconsin-Madison

Research Interests

Cyberinfrastructure Development and Research Data Management
Remote sensing of forest ecosystems and regional remote sensing
Soil-landscape modeling and terrain analysis
Forest soils
Geographic Information Systems (GIS) and spatial analysis
Global positioning satellite systems, digital image processing
Airborne mapping and environmental monitoring

Contact

College of Natural Resources

Physical Address:
975 W. 6th Street
Moscow, Idaho

Mailing Address:
875 Perimeter Drive MS 1142
Moscow, ID 83844-1142

Phone: 208-885-8981

Fax: 208-885-5534

Email: cnr@uidaho.edu

Web: College of Natural Resources

google maps location