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Samuel Favrichon

Photo of Samuel Favrichon

Address:

4800 Oak Grove Drive

Pasadena, CA 91109

Curriculum Vitae:

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Member of:

Carbon Cycle And Ecosystems

Employed By

Caltech/JPL

Biography

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.

Education

  • Ph.D – Remote sensing - Observatoire de Paris (2021)
  • Engineering degree – Computer science - Université de Technologie de Compiègne (2016)

Research Interests

Global forest structure description, Machine learning for earth observation, Land surface temperature, Passive microwave observations

Selected Publications

  1. S. Favrichon, C. Prigent, and C. Jiménez, “A method to downscale satellite microwave land-surface temperature”, Remote Sensing, vol. 13, no. 7, 2021.
  2. S. Favrichon, C. Jimenez, and C. Prigent, “Inter-calibrating smmr brightness temperatures over continental surfaces”, Atmospheric Measurement Techniques, vol. 13, no. 10, pp. 5481–5490, 2020.
  3. S. Favrichon, C. Prigent, C. Jimenez, and F. Aires, “Detecting cloud contamination in passive microwave satellite measurements over land”, Atmospheric Measurement Techniques, vol. 12, no. 3, pp. 1531–1543, 2019.
  4. J. Dorner, S. Favrichon, and A. S. Ogrenci, “Weight exchange in distributed learning”, Proceedings of the International Joint Conference on Neural Networks, vol. 2016-October, pp. 3081–3084, 2016.