Biographies
Photo of Kevin Turpie

Kevin Turpie
Research Associate Professor, NASA

Contact Information:
Phone: 301.286.9996
Email:

Biography:
Dr. Kevin Turpie received a Bachelor of Science in Computer Science at the University of Maryland in 1986, a Master of Science in Applied Mathematics at The Johns Hopkins University in 1991, and a PhD in Geographic Sciences at the University of Maryland 2012. He currently teaches graduate and undergraduate environmental remote sensing UMBC.

He has worked at Goddard Space Flight Center on ocean color problems since 1993, leading focused groups of scientists, analysts, and computer specialists on projects related to the CZCS, MODIS, SeaWiFS, and VIIRS instruments, including the development a MODIS science computer facility, global ocean production models, and web-based data analysis and visualization tools to assess data quality and trends. In 2004, Dr. Turpie was appointed the Ocean Color Deputy PI on the S-NPP NASA Science Team, leading a team to evaluate VIIRS sensor characteristics, calibration, and ocean color data product algorithms. In 2010, he became the Ocean Color Science PI, leading the evaluation of VIIR flight data and was elected by the science team to be the Ocean Discipline Lead, coordinating PI efforts, presentations and reports, and liaising between the team and program and project management. In this role, Dr. Turpie represented the interests of NASA and the Ocean Color research community in interactions with NASA and NOAA engineering teams, the NOAA ocean color calibration and validation team, the NRC Committee on Assessing Requirements for Sustained Ocean Color Research and Operations, and commercial organizations handling operational sensor calibration and data product processing. Dr. Turpie also holds leadership roles in a number of cross-discipline organizations related to hyperspectral remote sensing and model of coastal and inland waters and wetlands. He has published two peer review journal papers this year in this area.

Dr. Turpie is also a member of the Hyperspectral Infrared Imager (HyspIRI) Science Study Group, where he is applying his combined experience of terrestrial and aquatic problems to help define the future HyspIRI mission. He has expanded this role by becoming the founding chair of the HyspIRI Aquatic Studies Group (HASG), which is a growing organization of about five dozen international scientist and researchers focused on development of hyperspectral algorithms and data products for coastal and inland water applications.