Bolton, D.K., Coops, N.C., Hermosilla, T., Wulder, M.A., and White, J.C. Evidence of vegetation greening at alpine treelines: Three decades of Landsat spectral trends informed by lidar-derived vertical structure. Submitted to Environmental Research Letters.
Bolton, D.K., Tompalski, P., Coops, N.C., White, J.C., Wulder, M.A., and Luther, J.E. A cross site comparison of predicting forest attributes with airborne laser scanning and Landsat time-series data. In preparation for submission to Remote Sensing of Environment
Furze, S., Castonguay M., Ogilvie J., Nasr, M., Cormier, P., Gagnon, R., Adams, G., Arp, P.A. 2017. Assessing Soil-Related Black Spruce and White Spruce Plantation Productivity. Open Journal of Forestry, 7, 209-227.
Furze, S., Ogilvie, J. and Arp, P.A. 2017. Fusing Digital Elevation Models to Improve Hydrological Interpretations. Journal of Geographic Information System, 9, 558-575.
Furze, S., Arp, P.A. 2018. Amalgamation and harmonization of soil survey reports into a multi-purpose database: an example. Submitted to the Open Journal of Soil Science
Furze, S., Arp, P.A. 2018. From ancillary soil surveys to pedotransfer function development and perfomance assessment. Submitted to the Open Journal of Soil Science
Goodbody, T. R., Coops, N. C., Hermosilla, T., Tompalski, P., & Crawford, P. (2017). Assessing the status of forest regeneration using digital aerial photogrammetry and unmanned aerial systems. International Journal of Remote Sensing, 1-19.
Lamb, S.M., MacLean, D.A., Hennigar, C.R., and Pitt, D.G. 2017. Imputing tree lists for New Brunswick spruce plantations through nearest-neighbor matching of airborne laser scan and inventory plot data. Can. J. Remote Sens. 43(3): 269–285.
Lamb, S.M., MacLean, D.A., Hennigar, C.R., and Pitt, D.G. 2018. Forecasting forest inventory using imputed tree lists for LiDAR grid cells and a tree-list growth model. Forests 9(4): 167.
Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., & Achim, A. (2018). A mathematical framework to describe the effect of beam incidence angle on metrics derived from airborne LiDAR: The case of forest canopies approaching turbid medium behaviour. Remote Sensing of Environment 209 (2018): 824-834. https://www.sciencedirect.com/science/article/pii/S0034425717305849
Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., & Achim, A. (2017). Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size. Remote Sensing of Environment, 198, 1–16. https://doi.org/10.1016/j.rse.2017.05.032
Tompalski, P., et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling." Remote Sensing 10.2 (2018): 347.
AGM
Conference Presentations
Karin van Ewijk, et al. (2018) Transferability of FRI variable models between the Eastern and Western boreal forest. ForestSat, College Park, MA, USA
Parvez, R., et al, Feature standardization across areas of interest to optimize field sampling for individual tree species classification. ForestSAT conference, USA October 2018. Poster
Mulverhill, C., Coops, N.C. Tompalski, P., White, J.C., Marshall, P.L. (2018, September) Using 3-Dimensional Point Clouds To Improve Characteri-zations of Tree Stems Across Scales in Boreal Mixedwood Forest Stands. New Frontiers in Forecasting Forests. Stellenbosch SA
Karin van Ewijk, Piotr Tompalski, Paul Treitz, Nicolas Coops, Murray Woods, Douglas Pitt (2018) Transferability of FRI variable models between the Eastern and Western boreal forest. ForestSat October 1-5, 2018, College Park, MA, USA
Schmidt, A., Fournier, R. A, Luther, J. E., Elkins, B., Van Lier, O., Pittman, B., Hearn, D., Knott, F., Harris, D., Hearn B. (2017) Cartographie et évaluation des impacts potentiels des activités forestières sur les services écosystémiques aquatiques. Conférence Vision Géomatique 2017, 17-19 octobre 2017, Sherbrooke, Québec, Canada.
Karin van Ewijk, Eva Lindberg, Paul Treitz, Murray Woods (2017) Species-specific diameter distribution modeling using a hybrid ABA-ITC approach in a complex forest ecosystem. Silvilaser October 10-12, 2017. Blacksburg, Virginia, USA
Waldron, K., Roussel, J.-R., Bolton, D. and Achim, A. (2017). Using LiDAR 3-D metrics to predict wood quality in a boreal forest characterized by a long fire cycle. Silvilaser 2017, Blacksburg VA (USA), October 2017.
Goodbody, T.R., Coops, N.C. (08-28-2017). Digital aerial photogrammetry for assessing cumulative spruce budworm defoliation and enhancing forest inventories at a landscape level. Silvilaser 2017. International – Roanoke, Virginia, USA.
Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., & Achim, A. (2017). Silvilaser -- October 10-12 2017 - Effect of scan angle on LiDAR metrics – Blacksburg.
Mulverhill, C.; Coops, N.C.; Tompalski, P.; White, J.C.; Marshall, P.L. (2017, August). Improving lidar-derived estimates for describing stem size distribution. Presented at Symposium on Systems Analysis in Forest Resources, Suquamish, Washington, USA.
Goodbody, T.R., Coops, N.C. (08-28-2017). Updating airborne laser scanning EFI metrics using UAV acquired digital aerial photogrammetric point clouds. Symposium on Systems Analysis in Forest Resources. International – Suquamish, Washington, USA. Oral
Rakofsky, J., Coops, N. C., Tompalski, P., White, J. C. & Marshall, P. L. (2017, August). Multi-source and multi-temporal point cloud data for growth assessment. Paper presented at the Symposium on Systems Analysis in Forest Resources (SSAFR), Suquamish, WA
Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., & Achim, A. (2017). FOSS4G -- August 14-19, 2017 -- R in the Z-Dimension -- Boston (With Tina Cormier from TellusLab)
van Ewijk, Treitz, Caspersen, Jones, Woods, Pitt. Prediction of FRI attributes in different Forest types in Ontario using a core set of ALS metrics. Earth Observation Summit (EOS), Montreal, June 20-22, 2017
Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., & Achim, A. (2017). IUFRO Division 5 -- June 12 -16 2017 - lidR, an R package to work with laser scanning point cloud in forestry and ecology – Vancouver
Roussel, J.R., Achim, A (2016) An analytical model to correct the biases in canopy height assessments derived from aerial LiDAR Wood QC. Quebec City 12 – 15th June 2016.
Karin van Ewijk, Jean-Romain Roussel, Paul Treitz, John Caspersen, Alexis Achim, Trevor Jones, Murray Woods and Douglas Pitt (2016). Prediction of forest inventory attributes in different forest types in Ontario using a core set of stable ALS metrics, Canadian Remote Sensing Symposium Winnipeg 7 – 9th June 2016
Waldron, K., Auty, D. and Achim, A. (2016). Time since fire as a driver of wood properties in the boreal forest. Wood QC conference, Baie-St-Paul (QC), June 2016.
Waldron, K., Auty, D. et Achim, A. (2016). Liens entre les propriétés du bois, le temps depuis feu et les caractéristiques des arbres et des peuplements en forêt boréale. Colloque annuel du CRMR, Rouyn-Noranda (QC), June 2016.
Furze, S. (2015) Enhancing Digital Elevation Models for Improved Soils Mapping. ESRI Regional User Conference Preliminary presentation. Halifax, N.S. October 28th, 2015.
Roussel, J.R. Caspersen, J., Beland, M., Achim, A (2015). Extending the scale of applicability of models predicting forest structure and composition from airborne LiDAR measurements. 19th Annual NEMO Meeting. Stowe, Vermont November 15 - 17.
Roussel, J.R. Caspersen, J., Beland, M., Achim, A (2015). Extension of the scale of application of airborne LiDAR for the forest resource management. Silvilaser 2015 conference Montpellier France Sept 28-30
Furze, S. Enhancing Digital Elevation Models for Improved Soils Mapping. ESRI International User Conference. San Diego, California; July 18-24th, 2015.
Furze, S. Enhancing Digital Elevation Models for Improved Soils Mapping. Presentation. Soil Interfaces for Sustainable Development Conference. Montreal, Quebec; July 5-9th, 2015.
Furze, S. Working with DEMs of Varying Resolution and Derivation. Canadian Symposium on Remote Sensing Conference. Poster St. John's, Newfoundland; June 8-12, 2015.
E-lecture Series
The AWARE project: Results and Outcomes
Digital Soil Mapping in New Brunswick
New LiDAR Technologies on the Horizon: SPL and Multispectral LiDAR
Assessing Non-Timber Values Using LiDAR and Advanced Remote Sensing Data
Digital Photogrammetric Applications to Enhanced Forest Inventory
Other Presentations and Talks
Roussel J.-R (2015) – Correction du modèle numérique de canopée dérivé des données LiDAR – Colloque du CRMR – Québec (CA)
Roussel J.-R (2016) – Reducing the error attributable to measurement parameters in predictive models of forest metrics using aerial LiDAR – AWARE AGM
Roussel J.-R (2017) – Effect of scan angle on LiDAR metrics – AWARE AGM
Roussel J.-R (2017) – Algorithmes de segmentation individuelle des arbres en ALS – Québec (CA)
Roussel J.-R (2018) – Manipulation de données de lidar aéroporté avec R dans un contexte forestier – Training course – Québec (CA)
