Theme 4: Inventory and Management of Urban Trees
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 Participatory Science : A Participatory Approach to the Inventory and Management of Private Trees in Quebec
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This tree inventory project on private lands, in collaboration with the City of Quebec, the Association Forestière des Deux Rives, the Collectif Canopée, and CERFO, is based on participatory science. Residents are invited to document their trees, contributing to a broader data collection effort. In parallel, data on trees is gathered from businesses and institutions. Additionally, interviews with private landowners highlight their key role in the health of urban forests. This project pushes the boundaries of participatory science in urban forestry while integrating inclusive practices into forest management.
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Student : Savannah Bissegger O'Connor
Category : Master Advisor : Janani Sivarajah Co-advisor : Anne Bernard Date : 2023 - ... |
Project LiDAR : Fusion of LiDAR and Hyperspectral Data Collected by Drones for Tree Species Classification in Urban Woodlands
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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.
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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 !
