About
Hi, I’m Pratyush Tripathy, a PhD candidate in Geography at UC Santa Barbara and a NASA FINESST Future Investigator.
I study what environmental change costs the people exposed to it, and whether the policies meant to protect them work. Answering those questions takes measurements that off-the-shelf satellite products do not provide, since they are built for general use rather than for the comparison a particular question demands. I build those measurements, then use them to estimate what a shock or a policy actually did.
One strand of my work is forest conservation in the Amazon, where I estimate what protection has actually achieved. The other is floods, which I work on across the chain: mapping flood extent from satellite data, measuring whether the people most exposed perceive themselves to be at risk, and estimating what flooding costs the farms and households in its path. Alongside both, I study how errors in machine-learned maps carry into the decisions those maps inform.
Recent Work
- Tripathy, P., Upadhyay, S., Alegbeleye, O. M., Senkardesler, E., Pingali, D., Goddard, E., Thaker, J., Leiserowitz, A., & Marlon, J. R. (2026). National-scale mapping locates the mismatch between perceived and assessed flood risk in India. Under review at Nature Communications. Preprint: EarthArXiv.
- Agrawal, A. & Tripathy, P. (2026). Global Flood Mapper v2: Open-Access Flood Mapping and Exposure Assessment with Sentinel-1 SAR. Accepted at Natural Hazards. Preprint: EarthArXiv.
- Tripathy, P., Baylis, K., Wu, K., Watson, J., & Jiang, R. (2026). Zero-shot inference strategies for smallholder (< 0.1 ha) agriculture field delineation with the Segment Anything foundation model. Science of Remote Sensing, 100425.
- Anaya, J. A., Montero, D., Tripathy, P., Schroeder, W., Hantson, S., Bastarrika, A., & Mahecha, M. D. (2026). Assessing fire-exposed vegetation in the Orinoco Basin using Sentinel-2 and deep learning. Sustainable Geosciences: People, Planet and Prosperity, 100031.
