16. P Perbet, L Guindon, JF Côté, M Béland (2024). Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive...Remote Sensing of Environment 306, 114107

15. M Béland, H Kobayashi (2024). Drivers of deciduous forest near-infrared reflectance: A 3D radiative transfer modeling exercise based on ground lidar. Remote Sensing of Environment 302, 113951.

14. Béland, M., & Baldocchi, D. D. (2021). Vertical structure heterogeneity in broadleaf forests: Effects on light interception and canopy photosynthesis. Agricultural and Forest Meteorology, 307, 108525.

13. Béland, M. & Kobayashi, H. (2021) Mapping forest leaf area density from multiview terrestrial lidar. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13550

12. Béland, M. & Baldocchi, D. (2020) Is foliage clumping an outcome of resource limitations within forests? Agricultural and Forest Meteorology, 295, 108185.

11. Beland, M., Parker, G., Sparrow, B., Harding, D., Chasmer, L., Phinn, S., Antonarakis, A., & Strahler, A. (2019). On promoting the use of lidar systems in forest ecosystem research. Forest Ecology and Management, 450, 117484

10. Tremblay, J.-F., Béland, M., Pomerleau, F., Gagnon, R. & Giguère, P. (2019) Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations. arXiv preprint arXiv:1904.05281.

9. Perbet, P., Fortin, M., Ville, A. & Béland, M. (2019) Near real-time deforestation detection in Malaysia and Indonesia using change vector analysis with three sensors. International Journal of Remote Sensing, 1-20.

8. Tremblay, J.-F. & Béland, M. (2018) Towards operational marker-free registration of terrestrial lidar data in forests. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 146, 430-435.

7. Roussel J-R, Béland M, Caspersen J, 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 209:824-834.

6. Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S. and Achim, A. Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size. Remote Sens. Environ., 198: 1-16. 2017,Elsevier

5. Béland, Martin; Baldocchi, Dennis D; Widlowski, Jean-Luc; Fournier, Richard A; Verstraete, Michel M; ",On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR,Agricultural and Forest Meteorology,184,,82-97,2014,Elsevier

4. Béland, Martin; Widlowski, Jean-Luc; Fournier, Richard A; ",A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR,Environmental Modelling & Software,51,,184-189,2014,Elsevier

3. Widlowski, Jean-Luc; Côté, Jean-François; Béland, Martin; ",Abstract tree crowns in 3D radiative transfer models: Impact on simulated open-canopy reflectances,Remote Sensing of Environment,142,,155-175,2014,Elsevier

2. Verheijen, Frank GA; Jeffery, Simon; van der Velde, Marijn; Penížek, Vít; Beland, Martin; Bastos, Ana Catarina; Keizer, Jan Jacob; ",Reductions in soil surface albedo as a function of biochar application rate: implications for global radiative forcing,Environmental Research Letters,8,4,044008,2013,IOP Publishing

1. Béland, Martin; Widlowski, Jean-Luc; Fournier, Richard A; Côté, Jean-Francois; Verstraete, Michel M; ",Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements,Agricultural and Forest Meteorology,151,9,1252-1266,2011,Elsevier