Assistant Research Professor, University of Maryland - Department of Geographical Sciences
How I work with EOFSAC
Dr. Sahajpal is part of the University of Maryland EOFSAC Hub, providing research support for EOFSAC activities. His areas of research include:
• Global machine learning-based crop yield and condition forecasting
• Cropland Carbon Monitoring
• Forest Degradation
• Vegetation and Carbon Redistribution under Climate Change
Dr. Ritvik Sahajpal is an Assistant Research Professor at University of Maryland’s Department of Geographical Sciences. In his time at UMD, he has developed a machine-learning based global crop condition monitor using remote sensing inputs, produced a global crop phenology dataset using curve-fitting Fourier transforms, and incorporated crop rotation estimates in a global land-use model. As a post-doc at University of Wisconsin-Madison, he performed fine spatial scale land-cover change analysis across the U.S. Midwest using Python, parameterized and calibrated agro-ecosystem model (EPIC) using machine learning approaches in R, and estimated biomass and greenhouse gas fluxes using data driven agro-ecosystem modeling. Dr. Sahajpal has an M.S. and PhD in Geographical Sciences from the University of Maryland, and received his B.E. in Computer Sciences and Engineering from Punjab Engineering College, India.