PUBLICATIONS

 

• Thomas, V., T. Noland, P. Treitz, and H. McCaughey, 2011. Leaf area and clumping indices for a boreal mixedwood forest: lidar, hyperspectral, and Landsat models, International Journal of Remote Sensing, (in press).

 

• Van Ewijk, K.Y., P.M. Treitz, and N.A. Scott, 2011. Characterizing Forest Succession in Central Ontario using LiDAR derived Indices, Photogrammetric Engineering and Remote Sensing, Vol. 77 (3): 261-269.

 

• Treitz, P., V. Thomas, P. Zarco-Tejada, P. Gong, and P. Curran, 2010. Hyperspectral Remote Sensing for Forestry, Monograph Series, American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland, 107 p.

 

• Wall, J., A. Collingwood and P. Treitz, 2010. Monitoring surface moisture state in the Canadian High Arctic using synthetic aperture radar (SAR), Canadian Journal of Remote Sensing, Vol. 36, Supplement 1: S124-S134.

 

• Thomas, V., J.H. McCaughey, P. Treitz, D.A. Finch, T. Noland and L. Rich., 2009. Spatial modelling of photosynthesis for a boreal mixedwood forest by integrating micrometeorological, lidar and hyperspectral remote sensing data. Agricultural and Forest Meteorology, 149: 639-654.

 

• Chasmer, L., A. Barr, A. Black, H. McCaughey, A. Shashkov,  P. Treitz, and T. Zha. 2009. Scaling and assessment of GPP from MODIS using a combination of airborne lidar and eddy covariance measurements over jack pine forests. Remote Sensing of Environment, 113:82-93.

 

• Lim, K., C. Hopkinson, and P. Treitz. 2008. Examining the effects of sampling point densities on laser canopy height and density metrics for forest studies at the plot level. Forestry Chronicle, 84(6): 876-885.

 

• Woods, M., K. Lim, and P. Treitz. 2008. Predicting forest stand variables from LiDAR data in the Great Lakes St. Lawrence Forest of Ontario. Forestry Chronicle, 84(6): 827-839.

 

• Chasmer, L., A. Barr, A. Black, H. McCaughey, A. Shashkov, and P. Treitz. 2008. Investigating light use efficiency (LUE) across a jack pine chronosequence during dry and wet years. Tree Physiology, 28: 1395-1406.

 

• Chasmer, L., N. Kljun, A. Barr, A. Black, C. Hopkinson, H. McCaughey, and P. Treitz. 2008. Influences of vegetation structure and elevation on CO2 uptake in a mature jack pine forest in Saskatchewan, Canada. Canadian Journal of Forest Research, 38: 2746-2761.

 

• Chasmer, L., C. Hopkinson, P. Treitz, H. McCaughey, A. Barr, and A. Black. 2008. A lidar-based hierarchical approach for assessing MODIS fPAR. Remote Sensing of Environment, 112:4344-4357.

 

• Chasmer, L., A. Barr, A. Black, H. McCaughey, A. Shashkov, P. Treitz, and T. Zha. 2008. Scaling and assessment of GPP from MODIS using a combination of airborne lidar and eddy covariance measurements over jack pine forests. Remote Sensing of Environment, 133 (1): 82-93.

 

• Laidler, G., P. Treitz and Atkinson, D. 2008. Remote Sensing of Arctic Vegetation: Relations between the NDVI, Spatial Resolution, and Vegetation Cover on Boothia Peninsula, Nunavut. Arctic 61(1):1-13.

 

• Thomas, V., Treitz, P., McCaughey, J.H., Noland, T., and Rich, L., 2008. Canopy chlorophyll concentration estimation using hyperspectral and lidar data for a boreal mixedwood forest in northern Ontario, Canada. International Journal of Remote Sensing, 29(4): 1029-1052.

 

• Atkinson, D. and P. Treitz, 2007. Ecological classifications derived from spectral and vegetation data for Cape Bounty, Melville Island. Presented at the First International Circumpolar Conference on Geospatial Sciences and Applications, Yellowknife, NWT, August 20-24, 2007.

 

• Thomas, V., D. Finch, J.H. McCaughey, T. Noland, L. Rich, and P. Treitz, 2006. Spatial modelling of the fraction of aphotosynthetically active radiation absorbed by a boreal mixedwood forest using a lidar-hyperspectral approach. Agriculture and Forest Meteorology, 140:287-307.

 

• Lamoureux, S., D.McDonald, J.Cockburn, M. Lafreničre, D. Atkinson and P. Treitz 2006. An incidence of multi-year sediment storage on channel snowpack in the Canadian High Arctic, Arctic, 59(4):381-390.

 

• Chasmer, L., C. Hopkinson, and P. Treitz, 2006. Examining the influence of changing laser pulse repetition frequencies on conifer forest canopy returns. Photogrammetric Engineering and Remote Sensing, 72(12): 1359-1367.

 

• Thomas, V., P. Treitz, J.H. McCaughey and I. Morrison, 2006. Mapping stand-level forest biophysical variables for a mixedwood boreal forest using LiDAR: an examination of scanning density. Canadian Journal of Forest Research, 36:34-47.

 

• Chasmer, L., C. Hopkinson, and P. Treitz, 2006. Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar. Canadian Journal of Remote Sensing, 32(2):116-125.

 

• Prenzel, B., and P. Treitz, 2006. Spectral and spatial filtering for enhanced thematic change analysis of remotely sensed data. International Journal of Remote Sensing, 27(5):835-854.

 

• Hopkinson, C., L. Chasmer, K. Lim, P. Treitz, I. Creed, 2006. Towards a universal lidar canopy height indicator. Canadian Journal of Remote Sensing, 32(2):139-152.

 

• Hopkinson, C., L. Chasmer, G. Sass, I. Creed, M. Sitar, W. Kalbfleisch, and P. Treitz, 2005. Assessing vegetation height and canopy volume in a Boreal wetland complex using airborne scanning LiDAR. Canadian Journal of Remote Sensing, 31(2):191-206.

 

• Prenzel, B., and P. Treitz, 2005. Comparison of function- and structure-based schemes for classification of remotely sensed data. International Journal of Remote Sensing, 26(3):543-561.

 

• Lim, K., and P. Treitz, 2004. Estimation of aboveground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimators. Scandinavian Journal of Forest Research, 19:558-570.

 

• Hopkinson, C., L. Chasmer, C. Young-Pow, and P. Treitz, 2004. Assessing Forest Metrics with a Ground-based Scanning LiDAR. Canadian Journal of Forest Research, 34:573-583.

 

• Treitz, P.M., (Guest Editor), 2004. Remote Sensing for Mapping and Monitoring Land-Cover and Land-Use Change. Progress in Planning, 61(3): 261-384.

 

• Treitz, P.M., and J. Rogan, 2004. "Remote Sensing for Mapping and Monitoring Land-Cover and Land-Use Change – An Introduction", in Remote Sensing for Mapping Land Cover and Land Use Change, Ed., P.M. Treitz, Progress in Planning 61(3): 269-279.

 

• Prenzel, B., and P. Treitz, 2004. "Remote Sensing of Land-Cover and Land-Use Change for a Complex Tropical Watershed in North Sulawesi, Indonesia", in Remote Sensing for Mapping Land-Cover and Land-Use Change, Ed., P.M. Treitz, Progress in Planning 61(3): 349-363.

 

• Treitz, P., 2004. "Epilogue", in Remote Sensing for Mapping Land Cover and Land Use Change, Ed., P.M. Treitz, Progress in Planning 61(3): 383-384.

 

• Hopkinson, C., M. Sitar, L. Chasmer, P. Treitz, 2004. Mapping Snowpack Depth beneath Forest Canopies Using Airborne LiDAR. Photogrammetric Engineering and Remote Sensing, 70(3):323-330.

 

• Lim, K., P. Treitz, K. Baldwin, I. Morrison, J. Green, 2003. Lidar Remote Sensing of Biophysical Properties of Tolerant Northern Hardwood Forests. Canadian Journal of Remote Sensing, 29(5):658-678.

 

• Lim, K., P. Treitz, M. Wulder, B. St-Onge, and M. Flood, 2003. LiDAR Remote Sensing of Forest Structure. Progress in Physical Geography, 27(1):88-106.

 

• Laidler, G.J., and P.M. Treitz, 2003. Biophysical Remote Sensing of Arctic Environments. Progress in Physical Geography, 27(1):44-68. [PCSP/ÉPCP # 034-06]

 

• Thomas, V., P. Treitz, D. Jelinski, J. Miller, P. Lafleur, and H. McCaughey, 2002. Image Classification of a Northern Peatland Complex using Spectral and Plant Community Data. Remote Sensing of Environment, 84: 83-99.

 

• Treitz, P.M., 2001. Variogram Analysis of High Spatial Resolution Remote Sensing Data: An Examination of Boreal Forest Ecosystems. International Journal of Remote Sensing, 22(18): 3895-3900.