Richard Fournier

Sujet de recherche

Mes travaux de recherches concernent la télédétection des écosystèmes végétaux naturels tels la forêt et les milieux humides. Mon sujet privilégié est le développement d’outils d’analyse des données 3D du LiDAR terrestre dans le cadre des inventaires forestiers (le LiDAR est particulièrement bien adapté pour mesurer des paramètres autrement difficiles à obtenir). Je cherche d’ailleurs à améliorer la capacité de mesurer les couverts forestiers avec le LiDAR aéroporté et d’autres outils de télédétection comme les images satellitaires optique/infrarouge de toutes les résolutions spatiales. Je consacre finalement un certain temps sur des études portant sur des problématiques de conservation des écosystèmes et l’utilisation d’outils géomatiques pour la gestion par bassin versant.

Courriel

Richard.Fournier@USherbrooke.ca

Projets en cours

Évaluation, modélisation et extraction de paramètres structuraux de peuplements forestiers à l’aide d’un LiDAR terrestre (3D) : évaluation des paramètres de la tige, du houppier, de la surface foliaire et de la distribution des éléments du couvert
Amélioration des méthodes de cartographie des attributs forestiers à l’aide des données LiDAR (terrestre, sur drone et aéroporté) et des images satellitaires
Cartographie, mesures et modélisation d’attributs structurels de la forêt et des arbres, tels que les attributs de la fibre de bois, l’indice de surface foliaire, la biomasse, le volume ligneux, le défilement des tiges, etc.
Utilisation des outils géomatiques pour la gestion par bassin versants ou des eaux récréatives
Cartographie des zones de conservation

Publications (sélection d’articles)

Nguyen, V. T., Fournier, R. A., Côté, J. F., & Pimont, F. (2022). Estimation of vertical plant area density from single return terrestrial laser scanning point clouds acquired in forest environments. Remote Sensing of Environment, 279, 113115.
van Lier, O. R., Luther, J. E., White, J. C., Fournier, R. A., & Côté, J. F. (2022). Effect of scan angle on ALS metrics and area-based predictions of forest attributes for balsam fir dominated stands. Forestry, 95(1), 49-72.
Frizzle, C., Fournier, R. A., Trudel, M., & Luther, J. E. (2022). Towards sustainable forestry: Using a spatial Bayesian belief network to quantify trade-offs among forest-related ecosystem services. Journal of Environmental Management, 301, 113817.
Bour, B., Danneyrolles, V., Boucher, Y., Fournier, R. A., & Guindon, L. (2021). Modeling post-logging height growth of black spruce-dominated boreal forests by combining airborne LiDAR and time since harvest maps. Forest Ecology and Management, 502, 119697.
Vandendaele, B., Fournier, R. A., Vepakomma, U., Pelletier, G., Lejeune, P., & Martin-Ducup, O. (2021). Estimation of Northern Hardwood Forest Inventory Attributes Using UAV Laser Scanning (ULS): Transferability of Laser Scanning Methods and Comparison of Automated Approaches at the Tree-and Stand-Level. Remote Sensing, 13(14), 2796.
van Lier, O. R., Luther, J. E., White, J. C., Fournier, R. A., & Côté, J. F. (2021). Effect of scan angle on ALS metrics and area-based predictions of forest attributes for balsam fir dominated stands. Forestry: An International Journal of Forest Research.
Batistin, B., Danneyrolles, V., Boucher, Y., Fournier, R. A., & Guindon, L. (2021). Modeling post-logging height growth of black spruce forests by combining airborne LiDAR and historical forestry maps in eastern Canadian boreal forest. bioRxiv.
Frizzle, C., Fournier, R. A., Trudel, M., & Luther, J. E. (2021). Using the Soil and Water Assessment Tool to develop a LiDAR-based index of the erosion regulation ecosystem service. Journal of Hydrology, 595, 126009.
Goodbody, T. R., Coops, N. C., Luther, J. E., Tompalski, P., Mulverhill, C., Frizzle, C., … & Herniman, S. (2021). Airborne laser scanning for quantifying criteria and indicators of sustainable forest management in Canada. Canadian Journal of Forest Research, 51(7), 972-985.
Côté, J.-F., Luther, J., Lenz, P., Fournier, R.A., van Lier, O.R. (2021) Predicting wood fibre attributes of boreal conifer trees and forest plots with a fine-scale architectural model. Forest Ecology and Management, vol. 479, 118624.
Crespo-Peremarch, P., Fournier, R.A., Nguyen, V.-T., Ruiz, L.A., van Lier, O.R. (2020) Comparative detection of the vertical distribution of forest components with full-waveform, discrete airborne and discrete terrestrial laser scanning data. Forest Ecology and Management, 473, 118268, p. 1-15.
Soma, M., Pimont, F., Allard, D., Fournier, R.A., Dupuy J.-L. (2020) Mitigating occlusion effects in Leaf Area Density estimates from Terrestrial LiDAR through a specific kriging method. Remote Sensing of Environment, 245 : 111836 (p. 1-12).
Bolton, D.K., P. Tompalski, N.C. Coops, J.C. White, M.A. Wulder, T. Hermosilla, M. Queinnec, J.E. Luther, O.R. van Lier, R.A. Fournier, M. Woods, P. Treitz, K. van Ewijk, G. Graham, L. Quist (2020) Optimizing Landsat time series length for regional mapping of lidar-derived forest structure. Remote Sensing of Environment, 239 : 111645.
Allostry, J., Ludwig, A., Kotchi, S. O., Rousseu, F., & Fournier, R. (2020). Mapping the Vector Abundance of Endemic Mosquito-Borne Diseases in Southern Quebec.
Bouvier, M., S. Durrieu, R.A. Fournier, N. Saint-Geours, D. Guyon, E. Grau and F. de Boissieu (2019) Influence of Sampling Design Parameters on Biomass Predictions Derived from Airborne LiDAR Data. Canadian Journal of Remote Sensing, 45(5) : 650-672.
Ravaglia, J., R.A. Fournier, A. Bac, C. Véga, J.-F. Côté, A. Piboule and U. Rémillard (2019) Comparison of Three Algorithms to Estimate Tree Stem Diameter from Terrestrial Laser Scanner Data. Forests, 10(7), 599.
Varin, M., J. Théau and R.A. Fournier (2019) Mapping ecosystem services provided by wetlands at multiples spatiotemporal scales : A case study in Quebec, Canada. Journal of Environmental Management, 246 : 334-344.
Luther, J.E., R.A. Fournier, O.R. van Lier and M. Bujold (2019) Extending ALS-Based Mapping of Forest Attributes with Medium Resolution Satellite and Environmental Data. Remote Sensing, 11(9) : 1092.
Giroud, G., Schneider, R., Fournier, R. A., Luther, J. E., & Martin-Ducup, O. (2019). Modeling black spruce wood fiber attributes with terrestrial laser scanning. Canadian Journal of Forest Research, 49(6), 661-669.
Giroud, G., R. Schneider, R.A. Fournier, J.E. Luther and O. Martin-Ducup (2018) Modeling black spruce wood fiber attributes with terrestrial laser scanning. Revue canadienne de recherche forestière.
Martin-Ducup, O., R. Schneider and R.A. Fournier (2018) Analyzing the Vertical Distribution of Crown Material in Mixed Stand Composed of Two Temperate Tree Species. Forests, 9(11) : 693.
Côté, J.-F., R.A. Fournier, J.E. Luther and O.R. van Lier (2018) Fine-scale three-dimensional modeling of boreal forest plots to improve forest characterization with remote sensing. Remote Sensing of Environment, 219 : 99-114.
Mouissa, H., R.A. Fournier, E.H. Oldache et M. Bellatreche (2018) Détection des changements au niveau d’un couvert forestier en milieu semi-aride entre 1984-2009 : Cas de la forêt de Senalba Chergui de Djelfa (Algérie). Journal canadien de télédétection, 44(2): 104-112.
Ravaglia, J., A. Bac, R.A. Fournier (2017a) Anisotropic Octrees: a multi-purpose tool for fast point cloud processing, Computer Science Research Notes (SCRN 2702), Proceedings of Winter School of Computer Graphics (WSCG) 2017, 101-110, Pilsen, Tchek Republic.
Ravaglia, J., A. Bac and R.A. Fournier (2017) Extraction of tubular shapes from dense point clouds and application to tree reconstruction from laser scanned data. Computers & Graphics, 66 : 23-33.
Perrault-Hébert, M., Y. Boucher, R.A. Fournier, F. Girard, I. Auger, N. Thiffault and F. Grenon (2017) Ecological drivers of post-fire regeneration in a recently managed boreal forest landscape of eastern Canada. Forest Ecology and Management, 399 : 74-81.
Martin-Ducup, O., R. Schneider and R. A. Fournier (2017) A method to quantify canopy changes using multi-temporal terrestrial lidar data : Tree response to surrounding gaps. Agricultural and Forest Meteorology, 237 : 184–195.
Grau, E., S. Durrieu, R.A. Fournier, J.-P. Gastellu-Etchegorry and T. Yin (2017) Estimation of 3D vegetation density with Terrestrial Laser Scanning datausing voxels. A sensitivity analysis of influencing parameters. Remote Sensing of Environment, 191 : 373-388.
Boucher, Y., M. Perrault-Hébert, R.A. Fournier, P. Drapeau and I. Auger (2017) Cumulative patterns of logging and fire (1940–2009) : consequences on the structure of the eastern Canadian boreal forest. Landscape Ecology, 32 : 361-375.
Martin-Ducup, O., R. Schneider and R. A. Fournier (2016) Response of sugar maple (Acer saccharum, Marsh.) tree crown structure to competition in pure versus mixed stands. Forest Ecology and Management, 374 : 20-32.

Livres

Fournier, R.A., D. Mailly, J.-M.N. Walter, and I.G.C. Jonckheere (2011) Acquiring hemispherical photographs in forest environments: from planning to archiving photographs. In: Hemispherical photography for forest science: theory, methods, and applications. Eds. Fournier R.A and R. Hall. Kluwer.
Frazer G.W., R.A. Fournier, S.G. Leblanc, and J.-M.N. Walter (2011) Measurement of element clumping for spatially heterogeneous forest using hemispherical photography. In: Hemispherical photography for forest science: theory, methods, and applications. Eds. Fournier R.A and R. Hall. Kluwer.
Leblanc, S.G. and R.A. Fournier (2011) Measurement of forest structure with hemispherical photography, In: Hemispherical photography for forest science: theory, methods, and applications. Eds. Fournier R.A and R. Hall. Kluwer.
Mora B., R.A. Fournier and S. Foucher (2009) Comparative performance between Free DSm model and the Dempster-Shafer Theory to map regenerating forest stands, In Smarandache F. and J. Dezert (Editors), Advances and Applications of DSmT for Information Fusion (Collected Works), American Research Press, Rehoboth, Chapter 21, p. 529-547.
Fournier R. A.; Mailly, D.; Walter, J.-M. N. and Soudani, K. (2003). « Indirect measurement of forest structure from in situ optical sensors ». In: Methods and applications for remote sensing of forests: Concepts and case studies, Wulder M. and S. Franklin (Eds). Avril 2003, p. 77-113.