Étienne Laliberté

Early Detection of an Invasive Alien Plant (Phragmites australis) Using Unoccupied Aerial Vehicles and Artificial Intelligence

This study uses UAVs and deep learning to detect invasive Phragmites australis, achieving high recall and F1-score for early detection.

Mapping canopy foliar functional traits in a mixed temperate forest using imaging spectroscopy

The paper maps 12 foliar functional traits in a mixed temperate forest using airborne imaging spectroscopy and develops models to predict these traits from reflectance spectra.

deadtrees.earth - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics

The paper introduces deadtrees.earth, an open-access database of high-resolution aerial imagery to map global tree mortality using community-sourced data and machine learning.

Seeing the forest and the trees: a workflow for automatic acquisition of ultra-high resolution drone photos of tropical forest canopies to support botanical and ecological studies

This paper introduces a drone-based workflow and open-source software to capture ultra-high resolution canopy photos for tropical forest studies, enabling accurate taxonomic identification.

Hyperspectral imaging has a limited ability to remotely sense the onset of beech bark disease

This study evaluates the ability of airborne hyperspectral imaging to detect beech bark disease severity and finds it has limited predictive power.