Jing Chen

Jing Chen is an Adjunct Professor in the Earth, Environment & Society department at McMaster University, specializing in remote sensing applications for environmental and ecological studies. With over two decades of research activity, their work bridges satellite data analysis, vegetation biophysical parameter estimation, and terrestrial carbon cycle modeling.

• Key research areas: Remote sensing methodology, vegetation indices, leaf area index (LAI), chlorophyll content, carbon flux inversion, and ecological modeling
• Technical focus: Multi-sensor data fusion, topographic correction algorithms, and canopy structure analysis
• Applications: Forest carbon sequestration, agricultural productivity mapping, climate change impacts, and atmospheric-biospheric interactions

Their recent publications demonstrate growing emphasis on global carbon budget analysis using OCO-2/TROPOMI satellite data, machine learning frameworks for vegetation monitoring, and multi-spectral remote sensing for ecological parameter estimation. Notable collaborations include work on the GlobCarbon initiative and GEOS3 atmospheric modeling system.

Current projects address critical challenges in carbon neutrality research, including uncertainty quantification in carbon budgets, forest degradation impacts, and vegetation productivity responses to climate extremes. The research spans diverse ecosystems from boreal forests to tropical plantations, with methodological innovations in UAV-based monitoring and solar-induced fluorescence normalization.