Satya Kalluri is the Chief of the Cooperative Research Programs (CoRP) at the NOAA/NESDIS Center for Satellite Applications and Research (STAR). He earned his Ph.D. from the Department of Geographical Sciences, University of Maryland at College Park (UMCP) in 1994. As a research scientist at UMCP from 1994-2000, Dr. Kalluri led several remote sensing projects that developed consistently calibrated and processed baseline data for global change studies, including the NOAA-NASA AVHRR Land Pathfinder dataset and the Landsat GeoCover dataset. He also led the development of high-performance computing algorithms for land cover dynamics with funding from NSF at UMCP. From 2000 to 2007, Dr. Kalluri lead several remote sensing application development projects under NASA's EOSDIS program for federal, state and local government users. Prior to joining STAR, he was the lead NOAA scientist for algorithms and product generation system development in the GOES-R ground segment project office at NASA's Goddard Space Flight Center from 2007 to 2015.
Dr. Kalluri's interests include the development of systems and applications to process and apply remote sensing data for decision making. He has published extensively on a wide range of subjects, including the development of baseline remote sensing data for global change studies and application of remote sensing data in a variety of disciplines, such as agriculture, land surface energy balance, human health and atmospheric sciences.
Research Keywords & Expertise
Land surface monitorin...
Climate analysis
Geostationary sensors
Short Biography
Satya Kalluri is the Chief of the Cooperative Research Programs (CoRP) at the NOAA/NESDIS Center for Satellite Applications and Research (STAR). He earned his Ph.D. from the Department of Geographical Sciences, University of Maryland at College Park (UMCP) in 1994. As a research scientist at UMCP from 1994-2000, Dr. Kalluri led several remote sensing projects that developed consistently calibrated and processed baseline data for global change studies, including the NOAA-NASA AVHRR Land Pathfinder dataset and the Landsat GeoCover dataset. He also led the development of high-performance computing algorithms for land cover dynamics with funding from NSF at UMCP. From 2000 to 2007, Dr. Kalluri lead several remote sensing application development projects under NASA's EOSDIS program for federal, state and local government users. Prior to joining STAR, he was the lead NOAA scientist for algorithms and product generation system development in the GOES-R ground segment project office at NASA's Goddard Space Flight Center from 2007 to 2015.
Dr. Kalluri's interests include the development of systems and applications to process and apply remote sensing data for decision making. He has published extensively on a wide range of subjects, including the development of baseline remote sensing data for global change studies and application of remote sensing data in a variety of disciplines, such as agriculture, land surface energy balance, human health and atmospheric sciences.