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Dr. Matias Barber

Department of Physics, School of Engineering, University of Buenos Aires, Buenos...

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Matías Ernesto Barber received a degree in Physics from the University of Buenos Aires, Argentina, in 2009 and a Ph.D. degree in physics at the same university in 2014. Shortly after, he joined the National Scientific and Technical Research Council (CONICET) in 2015, working at Quantitative Remote Sensing group, Institute of Astronomy and Space Physics (IAFE), Buenos Aires, Argentina, where he is currently an Associate Researcher. He was involved in airborne campaigns and the design, development, and construction of instruments for field measurements, especially those related to soil roughness. Currently, he is dedicated to addressing parameter retrieval from synthetic aperture radar images (SAR) to generate alternative soil moisture products for the Argentine SAOCOM mission. As a result, he carried out fieldwork, developed algorithms and was involved in theoretical models that describe the interaction of electromagnetic waves with random surfaces. His expertise includes inversion methods (Bayesian and traditional), electromagnetic interaction models, numerical simulations and SAR image processing.

Research Keywords & Expertise

synthetic aperture rad...
Microwave Remote Sensi...
Inverse modelling tech...
EM scattering models
Scattering by rough su...

Short Biography

Matías Ernesto Barber received a degree in Physics from the University of Buenos Aires, Argentina, in 2009 and a Ph.D. degree in physics at the same university in 2014. Shortly after, he joined the National Scientific and Technical Research Council (CONICET) in 2015, working at Quantitative Remote Sensing group, Institute of Astronomy and Space Physics (IAFE), Buenos Aires, Argentina, where he is currently an Associate Researcher. He was involved in airborne campaigns and the design, development, and construction of instruments for field measurements, especially those related to soil roughness. Currently, he is dedicated to addressing parameter retrieval from synthetic aperture radar images (SAR) to generate alternative soil moisture products for the Argentine SAOCOM mission. As a result, he carried out fieldwork, developed algorithms and was involved in theoretical models that describe the interaction of electromagnetic waves with random surfaces. His expertise includes inversion methods (Bayesian and traditional), electromagnetic interaction models, numerical simulations and SAR image processing.