Andreas Forstmaier

Andreas Forstmaier, M.Sc., is a staff member at the Technical University of Munich (TUM), affiliated with the Department of Environmental Sensing and Modelling under Prof. Jia Chen. His role includes tutoring in the Advanced Seminar on Environmental Sensing and Modeling. His research focuses on remote sensing applications for environmental monitoring, specifically using multispectral satellite imagery and artificial neural networks to map invasive species like Eucalyptus in protected Natura 2000 areas. He also specializes in improving greenhouse gas emission inventories through column measurements and inverse modeling techniques. His work spans urban methane emissions, coal mine methane quantification, and sensor network development for environmental observations. He collaborates on projects such as the MUCCnet (Munich Urban Carbon Column network) and has contributed to international studies in cities across Europe and Poland.

Key research areas include atmospheric chemistry, environmental sensing technologies, and inverse modeling approaches for emission estimation. His publications highlight investigations into methane emissions from cities like Hamburg, the Munich Oktoberfest, and coal mines in Poland. He actively participates in conferences such as EGU General Assembly and ICOS Science Conferences, presenting findings on sensor networks, urban GHG monitoring, and emission modeling.

Forstmaier’s technical contributions include developing automated FTIR measurement software (Pyra) and integrating tall-tower flux measurements for refining emission estimates. His work bridges environmental science with technological innovation, emphasizing practical applications for urban and industrial emission management.