About

Hi, I’m Pratyush Tripathy, a PhD student in the Department of Geography at the University of California, Santa Barbara. My research focuses on integrating geospatial data and machine learning to investigate critical environmental and societal challenges. I am particularly interested in using AI models to fill data gaps and enable critical analyses that are otherwise infeasible.

Over the years, I have worked on a range of geospatial applications, including flood mapping using satellite datasets, census data disaggregation, and urban analysis. For my doctoral work, I am investigating the impacts of extreme weather events on human and economic development in data-scarce regions and how satellite data and AI models can help fill data gaps to present new insights.

To learn more, please check my Research and Publications.

Recent Work

• Rathore, J., Kumari, S., Tripathy, P., Mahto, S. S., & Lal, P. (2025). 2024 Brazil Floods: Mapping the extent and impacts in Eastern Rio Grande do Sul using geospatial techniques. Natural Hazards Research. https://doi.org/10.1016/j.nhres.2025.03.011

• Tripathy, P., Baylis, K., Wu, K., Watson, J., & Jiang, R. (2024). Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels. arXiv preprint arXiv:2407.01846.