Pratyush Tripathy

Pratyush Tripathy

he/him/his

I combine satellites, machine learning, and econometrics to study human and environmental problems.

Publications

Research Articles

  1. 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, Nature Communications. Preprint: EarthArXiv.
  2. Agrawal, A. & Tripathy, P. (2026). Global Flood Mapper v2: Open-Access Flood Mapping and Exposure Assessment with Sentinel-1 SAR.
    Accepted, Natural Hazards.
  3. 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.
  4. 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.
  5. 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.
  6. Diksha, Kumar, A. & Tripathy, P. (2023). Geographically Weighted Logistic Regression to measure the role of Intra-Urban Drivers for urban growth modelling in Kathmandu, Central Himalayas. Environmental Monitoring and Assessment.
  7. Guan, C., Gómez, J. A., Tripathy, P., Duque, J. C., Passos, S., Cheng, T. & Keith, M. (2023). Evaluating the impact of water protection policy on urban growth: A case study of Jiaxing. Environment and Planning B: Urban Analytics and City Science.
  8. Tripathy, P. & Malladi, T. (2022). Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR. Natural Hazards.
  9. Tripathy, P., Balakrishnan, K., de Franchis, C., & Kumar, A. (2022). Generating megacity-scale building height maps without DGNSS surveyed GCPs: An open-source approach. Environment and Planning B: Urban Analytics and City Science.
  10. Kumar, A., Manisha, M., Lal, P., Prasad, A., Tripathy, P., & Saikia, P. (2022). Analysing Urban Damage and Surface Deformation based hazard-risk in Kathmandu City during the 2015 Nepal Earthquake using SAR Interferometry. Advances in Space Research.
  11. Saharan, U. S., Kumar, R., Tripathy, P., Sateesh, M., Garg, J., Sharma, S. K., & Mandal, T. K. (2021). Drivers of air pollution variability during the second wave of COVID-19 in Delhi, India. Urban Climate.
  12. Gómez, J. A., Guan, C., Tripathy, P., Duque, J. C., Passos, S., Keith, M., & Liu, J. (2021). Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions. Remote Sensing.
  13. Tripathy, P., Rao, P., Balakrishnan, K., & Malladi, T. (2021). An open-source tool to extract natural continuity and hierarchy of urban street networks. Environment and Planning B: Urban Analytics and City Science.
  14. Tripathy, P. & Kumar, A. (2019). Monitoring and modelling spatio-temporal urban growth of Delhi using Cellular Automata and geoinformatics. Cities.

Working Papers

  1. Tripathy, P., Baylis, K., Latka, C., & Heilmayr, R. Counterfactual modeling using deep learning reveals spatially-explicit impact of protected areas in the Amazon forests.
    Manuscript in preparation. PDF
  2. Tripathy, P., Kedron, P., Goodchild, M. F., & Baylis, K. Why accurate maps fail in the places that matter.
    Manuscript in preparation.

Book Chapters

  1. Perikamana, K. K., Balakrishnan, K., & Tripathy, P. (2024). Deep learning approach for monitoring urban land cover changes. Earth Observation in Urban Monitoring.

Reports

  1. Tripathy, P., Balakrishnan, K., Malladi, T., Kiran, A., & Bhan, G. (2022). Methods for spatial sampling of urban neighbourhoods by socio-economic status in Indian cities. ILO, New Delhi.
  2. Tripathy, P. & Balakrishnan, K. (2021). Global Built-up and Population Datasets: Which ones should you use for India? arXiv.
  3. Malladi, T., Mayavel, D., Chatterji, N., & Tripathy, P. (2018). In A. Revi (Ed.), India Higher Education Atlas [Vols. 4, 5 and 6]. Indian Institute for Human Settlements.