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Udayalakshmi Vepakomma
Udayalakshmi Vepakomma
CENTRE D'ÉTUDE DE LA FORÊT, UQAM
Verified email at courrier.uqam.ca - Homepage
Title
Cited by
Cited by
Year
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
2402008
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
932011
Assessing forest gap dynamics and growth using multi-temporal laser-scanner data
B St-Onge, U Vepakomma
Power 140, 173-178, 2004
832004
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
782019
Assessing pine processionary moth defoliation using unmanned aerial systems
A Cardil, U Vepakomma, L Brotons
Forests 8 (10), 402, 2017
562017
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
562010
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
362020
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
362012
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
302013
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
292015
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
212021
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
192018
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
92011
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
82023
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
82021
Assessing pine processionary moth defoliation using unmanned aerial systems. Forests 8 (10): 402
A Cardil, U Vepakomma, L Brotons
72017
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
22023
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
22005
Methods and Tools for Reliable Estimation of Allowable Annual Cut (AAC) Calculations
U Vepakomma
Université du Québec á Montréal, 2005
22005
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
12012
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Articles 1–20