Theme 4: Inventory and Management of Urban Trees​

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The fourth research theme aims to improve the inventory and management of urban trees in Quebec. We seek to test a participatory approach that involves citizens in the inventory of private trees, thereby expanding data sets while raising awareness about sustainable management. Additionally, we are exploring the use of drone-based LiDAR to collect LiDAR and hyperspectral data, enabling precise mapping of trees and detailed species classification. The projects in this research theme combine community engagement and cutting-edge technology to provide optimized and sustainable management of urban green spaces.

Project LiDAR : Fusion of LiDAR and Hyperspectral Data Collected by Drones for Tree Species Classification in Urban Woodlands

Over the past decade, remote sensing has truly revolutionized the fields of environmental science and forestry, but so far its potential has mostly been exploited at the stand level. Using high-resolution data acquired by drones, this research project aims to segment forest cover at the individual tree level using LiDAR and classify each tree species based on hyperspectral data.
Student : Louis-Vincent Grand'Maison​
Category : Master
Advisor : Christian Larouche
Co-advisor: ​Janani Sivarajah
Date : 2024 - ...

 Thanks to all of our research partners and funders !