Jean-François Prieur's research while affiliated with Université du Québec à Montréal and other places
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Publications (9)
Species identification is a critical factor for obtaining accurate forest inventories. This paper
compares the same method of tree species identification (at the individual crown level) across three
different types of airborne laser scanning systems (ALS): two linear lidar systems (monospectral and
multispectral) and one single-photon lidar (SPL) s...
The objective of this study was to evaluate the effectiveness of three standardization approaches for airborne laser scanning (ALS) feature values used for individual tree species classification. This study is the first effort to assess the transferability of forest tree species classification models derived using monospectral and multispectral ALS...
Field studies have shown that dense tree canopies and regular tree arrangements reduce noise from a point source. In urban areas, noise sources are multiple and tree arrangements are rarely dense. There is a lack of data on the association between the urban tree canopy characteristics and noise in complex urban settings. Our aim was to investigate...
Le secteur forestier canadien a besoin d’information détaillée au sujet de la quantité et des caractéristiques des ressources forestières. Pour répondre à de tels besoins, des systèmes d’inventaire exacts, complets et opportuns qui quantifient spatialement le bois d’œuvre et les autres services écosystémiques liés aux forêts sont nécessaires. Le pr...
The Canadian forest sector requires detailed information regarding the amount and characteristics of the forest resource. To address these needs, inventory systems that spatially quantify timber and other forest related ecosystem services are required, that are accurate, comprehensive and timely. The Assessment of Wood properties using Remote Sensi...
Species classification is a cornerstone in decision-making for environmental conservation as well as for many scientific, and management activities for forest managers. The goal of this research was to explore standardization approaches for airborne laser scanning (ALS) feature values ("classification metrics"). Standardization approaches could hel...
The aim of this paper was to develop a generalized classification model using multispectral airborne laser scanning (ALS) data to provide species or genus level tree identification. We tested the robustness, transferability, and generalizability of the developed method across two sites in Ontario, Canada. We focused on the generalization of the app...
We propose a method for mapping above-ground biomass (AGB) (Mg ha⁻¹) in boreal forests based predominantly on Landsat 8 images and on canopy height models (CHM) generated using interferometric synthetic aperture radar (InSAR) from the Shuttle Radar Topographic Mission (SRTM) and the TanDEM-X mission. The original SRTM digital elevation model (DEM)...
Forest inventory attributes need to be updated regularly to accurately reflect continually changing forest conditions due to fire, harvesting, natural succession, insect infestation and climate change. A data fusion of multispectral satellite images, existing high-resolution Digital Surface Models (DSM) and Shuttle Radar Topographic Mission (SRTM)...
Citations
... But a more efficient variable selection procedure deserves further consideration to increase our understanding of what specifically drives tree species discrimination. In addition, these UAV-derived features are affected by many factors, such as sensor performance, system errors and flight parameters (Rana et al. 2022), which are difficult to directly transplant to other research fields, which greatly limits the application of UAVs. ...
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... Point density is also influenced by the altitude of the aircraft above ground or sea level [58]. A lower altitude causes smaller point spacing in the scan line, resulting in variable point density when the aircraft altitude varies during the flight. ...
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... These equations can be used to identify the relationship between noise absorption level and tree crown. The tree crown volume can be relatively calculated using the following equations 1 and 2. These equations consider whether the leaves of trees are broad leaves or needle leaves (Zhao et al., 2021). L is crown length, and D is the diameter of a crown footprint. ...
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... Despite these advances, however, explicit consideration of the known drivers of variation in wood properties remains scarce in multi-scale models, which may limit the degree to which they can be generalised. Nevertheless, because the accuracy of such models depends largely on the quality of field reference data [36], fusion of TLS and ALS data can facilitate the transferability of predictions across multiple scales [32, 37•]. ...
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... Few studies have been performed on the use of multispectral ALS data for tree species classification (e.g. Axelsson et al., 2018;Rana et al., 2018;Yu et al., 2017). These studies all concluded that there were additional gains in tree species classification than monospectral ALS data. ...
... The comparison of the Sentinel-1 and ALOS-2 data revealed that the L-band is more sensitive to forest AGB than the C-band, and it is more suitable for forest AGB prediction. This is consistent with the findings of previous studies [23,61], since longer wavelengths could penetrate the canopy, they can provide more information from the trunk and branches [62]. While interference coherence provides more vertical information about the forest. ...
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