Spatially explicit characterization of boreal forest gap dynamics using multi-temporal lidar data U Vepakomma, B St-Onge, D Kneeshaw Remote Sensing of Environment 112 (5), 2326-2340, 2008 | 240 | 2008 |
Response of a boreal forest to canopy opening: assessing vertical and lateral tree growth with multi‐temporal lidar data U Vepakomma, B St-Onge, D Kneeshaw Ecological Applications 21 (1), 99-121, 2011 | 93 | 2011 |
Assessing forest gap dynamics and growth using multi-temporal laser-scanner data B St-Onge, U Vepakomma Power 140, 173-178, 2004 | 83 | 2004 |
Resnet-based tree species classification using uav images S Natesan, C Armenakis, U Vepakomma The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 78 | 2019 |
Assessing pine processionary moth defoliation using unmanned aerial systems A Cardil, U Vepakomma, L Brotons Forests 8 (10), 402, 2017 | 56 | 2017 |
Interactions of multiple disturbances in shaping boreal forest dynamics: a spatially explicit analysis using multi‐temporal lidar data and high‐resolution imagery U Vepakomma, D Kneeshaw, B St‐Onge Journal of Ecology 98 (3), 526-539, 2010 | 56 | 2010 |
Individual tree species identification using Dense Convolutional Network (DenseNet) on multitemporal RGB images from UAV S Natesan, C Armenakis, U Vepakomma Journal of Unmanned Vehicle Systems 8 (4), 310-333, 2020 | 36 | 2020 |
Spatial contiguity and continuity of canopy gaps in mixed wood boreal forests: persistence, expansion, shrinkage and displacement U Vepakomma, D Kneeshaw, MJ Fortin Journal of Ecology 100 (5), 1257-1268, 2012 | 36 | 2012 |
Canopy gap detection and analysis with airborne laser scanning B St-Onge, U Vepakomma, JF Sénécal, D Kneeshaw, F Doyon Forestry Applications of Airborne Laser Scanning: Concepts and Case Studies …, 2013 | 30 | 2013 |
Aboveground-biomass estimation of a complex tropical forest in India using lidar C Véga, U Vepakomma, J Morel, JL Bader, G Rajashekar, CS Jha, J Ferêt, ... Remote Sensing 7 (8), 10607-10625, 2015 | 29 | 2015 |
Estimation of northern hardwood forest inventory attributes using UAV laser scanning (ULS): Transferability of laser scanning methods and comparison of automated approaches at … B Vandendaele, RA Fournier, U Vepakomma, G Pelletier, P Lejeune, ... Remote Sensing 13 (14), 2796, 2021 | 21 | 2021 |
Influence of natural and anthropogenic linear canopy openings on forest structural patterns investigated using lidar U Vepakomma, DD Kneeshaw, L De Grandpré Forests 9 (9), 540, 2018 | 19 | 2018 |
Boreal forest height growth response to canopy gap openings–an assessment with multi-temporal lidar data U Vepakomma, B St-Onge, D Kneeshaw Ecol. Appl 21 (1), 99-121, 2011 | 9 | 2011 |
Remote sensing tools for monitoring forests and tracking their dynamics R Massey, LT Berner, AC Foster, SJ Goetz, U Vepakomma Boreal Forests in the Face of Climate Change: Sustainable Management, 637-655, 2023 | 8 | 2023 |
Insectivorous songbirds as early indicators of future defoliation by spruce budworm M Germain, D Kneeshaw, L De Grandpré, M Desrochers, PMA James, ... Landscape Ecology 36 (10), 3013-3027, 2021 | 8 | 2021 |
Assessing pine processionary moth defoliation using unmanned aerial systems. Forests 8 (10): 402 A Cardil, U Vepakomma, L Brotons | 7 | 2017 |
Remote Sensing at Local Scales for Operational Forestry U Vepakomma, D Cormier, L Hansson, B Talbot Boreal Forests in the Face of Climate Change: Sustainable Management, 657-682, 2023 | 2 | 2023 |
Mapping above ground forest biomass using lidar data and multispectral images B St-Onge, U Vepakomma, Y Hu, M Wulder, M Thies, B Koch, H Spieker, ... Proceedings of the Silviscan Conference: Lidar Applications in Forest …, 2005 | 2 | 2005 |
Methods and Tools for Reliable Estimation of Allowable Annual Cut (AAC) Calculations U Vepakomma Université du Québec á Montréal, 2005 | 2 | 2005 |
L’influence des trouées sur la structure et la composition de la forêt mixte D Kneeshaw, U Vepakomma, B St-Onge Écologie et sylviculture de la forêt mixte, 21, 2012 | 1 | 2012 |