Zhang, Xiaoyang

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  • Ph.D. Department of Geography, King's College London, University of London, London, United Kingdom. 1999.
  • MSc.  Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China. 1991.
  • BSc.   Department of Geography, Peking University, Beijing, China. 1984.
Research Interests: 
Land surface dynamics, biomass burning emissions, land cover and land use change, and climate- terrestrial ecosystem interaction.

Dr. Xiaoyang Zhang is a Professor with the Department of Geography and a Senior Scientist at the Geospatial Sciences Center of Excellence at South Dakota State University.  Before coming to SDSU, he was a Research Assistant Professor with the Institute of Hydrobiology, Chinese Academy of Sciences (CAS) (1984-1988); a Research Associate Professor with the Institute of Geodesy and Geophysics, CAS (1988-1995); a Research Associate and Research Assistant Professor with the Department of Geography, Boston University, Boston, MA (1999 to 2005). As a Senior Research Scientist in the Earth Resources Technology (2005-2012) and a visiting Associate Research Scientist in the University of Maryland (2012-2013), he worked at the NOAA/NESDIS/STAR. Dr. Zhang’s research is focused on examining land surface dynamics and climate impacts using remotely sensed data across the globe. He leads the development of a continuous dataset of global land surface phenology from AVHRR and MODIS data since 1981, the generation of global phenology product and the establishment of an operational system for real-time monitoring of phenological development from Suomi NPP VIIRS data. His research effort also focuses on algorithm development and product delivery of near-real-time global biomass burning emissions from polar-orbit satellites and geostationary satellites, which includes fuel loading estimates, fuel moisture detections, burned area measurements, and diurnal fire radiative power analysis. Moreover, his research includes the investigation of climate impacts on land surface dynamics using the products retrieved from long-term satellite data.



Last modified: 
Dec 20, 2018