4800 Oak Grove Drive
Pasadena, CA 91109Caltech/JPL
Samuel Favrichon is a remote sensing scientist specialized in Earth observations through satellite passive microwave measurements. Following an engineering diploma in computer science and data analysis from Université de Technologie de Compiègne, he earned a PhD from Observatoire de Paris focusing on the measurement of global land surface temperature. Relying on the combination of physical models and statistical tools, this work helps better understand the interactions between microwave radiations and geophysical variables. His research now focuses on the estimation of global forest structure evolution on a global scale at different resolution leveraging multiple observing systems.
Global forest structure description, Machine learning for earth observation, Land surface temperature, Passive microwave observations