Coordinated by the University of Maryland Center for Global Agricultural Monitoring Research
How I work with Harvest
Dr. Prasad Bandaru focuses on research related to advancing the use of satellite remote sensing in agroecosystem models to improve regional scale model predictions of crop condition, water use and yields. Currently, he has been developing an integrated forecasting system by combining satellite remote sensing and seasonal weather forecasts in crop simulation models to provide in-season crop condition and yield outlooks. In addition, he is involved in the development of algorithms to estimate crop type phenology and leaf area index at large spatial scale.
Dr. Prasad Bandaru's research is broadly focused on large scale modeling of agricultural systems. He develops robust geospatial tools by integrating satellite remote sensing, biophysical and biogeochemical models and geographic information systems, and applying them to monitor and manage agricultural systems at multiple scales. His broad areas of interest include 1) modeling cropland carbon fluxes and crop yields 2) modeling impacts of biofuel crop production systems 3) evaluating adaptation strategies for land use and climate change and 4) developing decision support systems. He has been an Associate Editor of the Agronomy Journal since 2013, recognized as an outstanding Associate Editor of the year in 2014. He is a member of NASA CMS Science Team (2016-present), NASA LCLUC Science Team (2018-present), American Society of Agronomy (2005-present), Soil Science Society of America (2005-present), and the American Geophysical Union (2008-present). Dr. Bandaru received a PhD in Plant and Soil Sciences from the University of Delaware with specialization in hyperspectral remote sensing. Later, he worked as postdoctoral research associate at Oak Ridge National Laboratory.