University of Idaho, RMRS-Moscow, University of Montana
Peer-Reviewed Publications & Conference Participation
Listed in chronological order
in review and in press:
Smith, A.M.S., Garrity, S.R., Vierling, L.A. and Strand, E.K., Evaluating the location, size, and structure of vegetative image objects, Remote Sensing of Environment, in review
Evans, J.S., and Hudak. A.T., A Progressive Curvature Filter for Identifying Ground Returns from Discrete Return LiDAR in Forested Environments. IEEE Transactions on Geoscience and Remote Sensing. in press.
2006:
Falkowski, M.J., Smith, A.M.S., Hudak, A.T., Gessler, P.E., Vierling, L.A. and Crookston, N.L., 2006. Automated estimation of individual conifer tree height and crown diameter via Two-dimensional spatial wavelet analysis of lidar data, Canadian Journal of Remote Sensing, Vol. 32, No. 2, in press.
Hudak, A.T., Crookston, N.L., Evans, J.S., Falkowski, M.K., Smith, A.M.S., Gessler, P.E. and Morgan, P., 2006., Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral data, Canadian Journal of Remote Sensing, Vol. 32, No. 2, in press.
Rooker Jensen, J., Humes, K.S., Conner, T., Williams, C.J. and DeGroot, J., 2006, Estimation of biophysical characteristics for highly variable mixed-conifer stands using small-footprint lidar, Canadian Journal of Forest Research, 36, 5, 1129-1138.
2005:
Lefsky, M.A., A.T. Hudak, W.B. Cohen and S.A. Acker. 2005 Geographic variability in lidar predictions of forest stand structure in the Pacific Northwest. Remote Sensing of Environment 95(4): 532-548.
Lefsky, M.A., A.T. Hudak, W.B. Cohen and S.A. Acker. 2005 Patterns of covariance between forest stand and canopy structure in the Pacific Northwest. Remote Sensing of Environment 95(4): 517-531.
2004 and Earlier:
Chen, X., Vierling, L., Rowell, E., and DeFelice, T. 2004. Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest. Remote Sensing of Environment, 91(1): 14-26.
Seielstad, C.A. and Queen, L.P., 2003, Using Airborne Laser Altimetry to Determine Fuel Models for Estimating Fire Behavior, Journal of Forestry, 101, 4, 10-15.
Hudak, A.T., M.A. Lefsky, W.B. Cohen and M. Berterretche. 2002 Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height. Remote Sensing of Environment 82(2-3): 397-416.
Ritchie, JC, KS Humes, and MA Weltz. 1995, Laser altimeter measurements at Walnut Gulch watershed, Arizona: Journal of Soil and Water Conservation. 50 440–442.
Conference Particpation:
Evans, J. and Hudak, A.T., 2006, Subsampling method for aggregating Lidar-derived forest structure predictions to the stand level, 11th Biennial USDA Forest Service Remote Sensing and Applications Center Conference, Salt Lake City, 24th-28th April.
Falkowski, M.J., Hudak, A.T., Gessler, P.E., and Crookston, N.L., 2006. Individual tree height and crown diameter prediction with Lidar data, 11th Biennial USDA Forest Service Remote Sensing and Applications Center Conference, Salt Lake City, 24th-28th April.
Humes, L., Jensen, J., Degroot, J., Tschida, R. 2006, Integration of Lidar and spectral data for quantifying fuels in mixed-conifer forest stands with diverse structural and topographic characteristics, 11th Biennial USDA Forest Service Remote Sensing and Applications Center Conference, Salt Lake City, 24th-28th April.
Jensen, J., Humes, K., Degroot, J., Botto, R., Robishon, S. 2006, Comparison of Lidar-mapped estimates of mixed-conifer forest characteritsics with operationally modeled stand data in Northern Idaho, 11th Biennial USDA Forest Service Remote Sensing and Applications Center Conference, Salt Lake City, 24th-28th April.
Rowell, E., Seielstad, C., Queen, L., 2006, Developing a Lidar processing utility for forestry applications, 11th Biennial USDA Forest Service Remote Sensing and Applications Center Conference, Salt Lake City, 24th-28th April.
Falkowski, M.J., Hudak, A.T., Smith, A.M.S., and P.E. Gessler. 2005. A comparison of four individual tree height prediction methods for forest inventory. Proceedings of the 26th Canadian Symposium on Remote Sensing, Wolfville, Nova Scotia, Canada, 14-16 Jun
Hudak, A.T., J.S. Evans, M.J. Falkowski, N.L. Crookston, P.E. Gessler, P. Morgan and A.M.S. Smith. 2005. Predicting plot basal area and tree density in mixed-conifer forest from lidar and Advanced Land Imager (ALI) data. Proceedings of the 26th Canadian Symposium on Remote Sensing, Wolfville, Nova Scotia, Canada, 14-16 Jun
Updated May 7th 2006
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