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Dr. Maurizio Santoro

Gamma Remote Sensing, Bern, Switzerland

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Maurizio Santoro received an M.S. degree in aerospace engineering from the University “Federico II,” Naples, Italy, in 1998; a Lic. Eng. degree from the Chalmers University of Technology, Göteborg, Sweden, in 2001; and a Ph.D. degree from the Friedrich Schiller University of Jena, Jena, Germany, in 2003. From 2004 to 2005, he held a postdoctoral position with the Friedrich Schiller University of Jena. Since 2006, he has been a Project Scientist with Gamma Remote Sensing AG, Gümligen, Switzerland. His main duties include SAR and interferometric SAR data processing and thematic applications. He is involved as a Principal Investigator and Coinvestigator in several international projects on the use of Earth observation data for biomass and forest mapping and monitoring. His main research interests include the characterization of forests using SAR and interferometric SAR data and retrieval techniques of forest biophysical parameters from SAR data.

Research Keywords & Expertise

Thematic Mapping
Radar Remote Sensing
Estimation of forest b...

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20%
Estimation of forest biomass
5%
Thematic Mapping

Short Biography

Maurizio Santoro received an M.S. degree in aerospace engineering from the University “Federico II,” Naples, Italy, in 1998; a Lic. Eng. degree from the Chalmers University of Technology, Göteborg, Sweden, in 2001; and a Ph.D. degree from the Friedrich Schiller University of Jena, Jena, Germany, in 2003. From 2004 to 2005, he held a postdoctoral position with the Friedrich Schiller University of Jena. Since 2006, he has been a Project Scientist with Gamma Remote Sensing AG, Gümligen, Switzerland. His main duties include SAR and interferometric SAR data processing and thematic applications. He is involved as a Principal Investigator and Coinvestigator in several international projects on the use of Earth observation data for biomass and forest mapping and monitoring. His main research interests include the characterization of forests using SAR and interferometric SAR data and retrieval techniques of forest biophysical parameters from SAR data.