Publications

Advances in modelling radiative transfer, heat storage and turbulent transport to evaluate CO₂, heat and water fluxes over broad-leaved forests: The CanVeg2 model

Béland, M., Bonan, G. B., Meyers, T. P., Munger, J. W., Kobayashi, H., & Baldocchi, D. (2026). Global Change Biology, 32(4), e70867.

Consideration of radiation absorption by stems in forests for microclimate modeling

Béland, M., Bonan, G., Kobayashi, H., & Baldocchi, D. (2026). Geoscientific Model Development, 19(18), 9019–9033.

Large-scale tree species classification in Canadian boreal forest using PRISMA hyperspectral and LiDAR data

Reisi Gahrouei, O., Côté, J.-F., Giguère, P., Guindon, L., Bournival, P., & Béland, M. (2026). Forestry: An International Journal of Forest Research, 99(4), cpag064.

Windthrow mapping in boreal forests using a spatio-temporal deep learning approach and Sentinel-2 imagery

Reisi Gahrouei, O., Guindon, L., Perbet, P., Correia, D. L. P., Côté, J.-F., & Béland, M. (2026). Remote Sensing of Environment, 335, 115270.

Mapping the extent and severity of tree mortality and defoliation caused by spruce budworm using Landsat time series

Zhou, X., Guindon, L., Perbet, P., Reisi Gahrouei, O., Côté, J.-F., Waldron, K., Kneeshaw, D., & Béland, M. (2026). International Journal of Remote Sensing, 47(6), 2447–2475.

Methane exchange in a California oak savanna: Insights from tree stem, soil, and ecosystem fluxes

Kasak, K., Ranniku, R., Béland, M., Verfaillie, J., & Baldocchi, D. (2026). Agricultural and Forest Meteorology, 388, 111347.

Exploring the impact of ice storm on urban forests and branch fall using mobile LiDAR

Montalban, K., Moszkowicz, T., St-Denis, A., Messier, C., & Béland, M. (2026). Urban Forestry & Urban Greening, 116, 129223.

Mapping wood area in forests from ground lidar and estimating their light interception using radiative transfer modeling

Béland, M. (2025). Agricultural and Forest Meteorology, 375, 110883.

Evaluating Landsat time series of above-ground biomass to monitor boreal forest recovery following different types of disturbance

Perbet, P., Guindon, L., Côté, J.-F., & Béland, M. (2025). Canadian Journal of Remote Sensing, 51(1), 2587489.

Historical insect disturbance maps from 1985 onwards for Canadian forests derived using earth observation data

Perbet, P., Guindon, L., Correia, D. L. P., Reisi Gahrouei, O., Côté, J.-F., & Béland, M. (2025). Scientific Data, 12(1), 2012.

Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive disturbances

Perbet, P., Guindon, L., Côté, J.-F., & Béland, M. (2024). Remote Sensing of Environment, 306, 114107.

Drivers of deciduous forest near-infrared reflectance: A 3D radiative transfer modeling exercise based on ground lidar

Béland, M., & Kobayashi, H. (2024). Remote Sensing of Environment, 302, 113951.

Comparison of deep and machine learning approaches for Quebec tree species classification using a combination of multispectral and LiDAR data

Reisi Gahrouei, O., Côté, J.-F., Bournival, P., Giguère, P., & Béland, M. (2024). Canadian Journal of Remote Sensing, 50(1), 2359433.

EEG-based affective responses to immersion in a virtual forest

Reyes-Consuelo, M. A., Kiss, J., Edwards, G., & Béland, M. (2024). The International Journal of Health, Wellness, and Society, 14(4), 21–50.

Responses of marginal and intrinsic water-use efficiency to changing aridity using FLUXNET observations

Yi, K., Novick, K. A., Zhang, Q., Wang, L., Hwang, T., Yang, X., Mallick, K., Béland, M., Senay, G. B., & Baldocchi, D. D. (2024). Journal of Geophysical Research: Biogeosciences, 129(6), e2023JG007875.

Vertical structure heterogeneity in broadleaf forests: Effects on light interception and canopy photosynthesis

Béland, M., & Baldocchi, D. D. (2021). Agricultural and Forest Meteorology, 307, 108525.

Mapping forest leaf area density from multiview terrestrial lidar

Béland, M., & Kobayashi, H. (2021). Methods in Ecology and Evolution, 12(4), 619–633.

Is foliage clumping an outcome of resource limitations within forests?

Béland, M., & Baldocchi, D. (2020). Agricultural and Forest Meteorology, 295, 108185.

Automatic three-dimensional mapping for tree diameter measurements in inventory operations

Tremblay, J.-F., Béland, M., Gagnon, R., Pomerleau, F., & Giguère, P. (2020). Journal of Field Robotics, 37(8), 1328–1346.

On promoting the use of lidar systems in forest ecosystem research

Béland, M., Parker, G., Sparrow, B., Harding, D., Chasmer, L., Phinn, S., Antonarakis, A., & Strahler, A. (2019). Forest Ecology and Management, 450, 117484.

Near real-time deforestation detection in Malaysia and Indonesia using change vector analysis with three sensors

Perbet, P., Fortin, M., Ville, A., & Béland, M. (2019). International Journal of Remote Sensing, 40(19), 7439–7458.

Towards operational marker-free registration of terrestrial lidar data in forests

Tremblay, J.-F., & Béland, M. (2018). ISPRS Journal of Photogrammetry and Remote Sensing, 146, 430–435.

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

Roussel, J.-R., Béland, M., Caspersen, J., & Achim, A. (2018). Remote Sensing of Environment, 209, 824–834.

Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size

Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., & Achim, A. (2017). Remote Sensing of Environment, 198, 1–16.