Rate My Professor William Woodgate

A recent Australian Research Council Discovery Early Career Researcher Award (DECRA) holder (DE190101182), Woodgate's research bridges scales to remotely sense dynamic vegetation productivity and health. He integrates passive and active remote sensing technologies, including LiDAR, optical, and thermal imagery, to estimate vegetation structure and function. His current focus scales sun-induced chlorophyll fluorescence (SIF) observations from leaf to canopy at flux tower sites. Key projects include TruForest: Founding an Australian Rainforest LiDAR Monitoring Network (ARC LIEF, 2025-2026), AVILAS: Automating individual tree-scale vegetation structure and aboveground biomass inventory and monitoring (2024-2026), AquaWatch Pathfinders: Earth Observation Sensor Design Simulator Testbed (2022-2023), and Leaf to landscape: Near-instant vegetation growth and productivity rates (ARC DECRA, 2019-2023). Notable publications encompass 'RayExtract: A fast, scalable method for tree volume reconstruction from terrestrial laser scanning' (Remote Sensing of Environment, 2026), 'Bushfire recovery at a long-term tall eucalypt flux site through the lens of a satellite: combining multi-scale data for structural-functional insight' (Remote Sensing of Environment, 2025), 'THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature' (Plant Methods, 2020), and contributions to drought response analyses in Global Change Biology (2025). His work advances ecosystem monitoring, carbon and water flux modeling, and remote sensing validation.