Pratyush Tripathy

Biography

I am a PhD student advised by Prof. Kathy Baylis. I earned my 5 years Integrated Master degree in Geoinformatics from Central University of Jharkhand, India. Before starting my doctoral research at UCSB, I worked with the Indian Institute for Human Settlements on various practice and research projects. I enjoy socializing, exploring new places and food, and amateur photography.

Research

My doctoral research focuses on investigating the impacts of extreme weather events on agriculture, and human and economic development in India using spatial data science, machine learning and econometrics.

In the past I have worked on developing new methods for urban spatial analysis including street network analysis, building height mapping, delineating homogeneous neighborhoods, etc. In addition, I have also worked on generating gridded population datasets and flood mapping at scale. The projects that I actively contributed to, were funded by Group on Earth Observations (GEO), Amazon Web Services (AWS), Microsoft and Google. When possible, I try to develop open-source tools and publish blogs around spatial analysis.

Selected Publications

Tripathy, P. & Balakrishnan, K. (2021). Global Built-up and Population Datasets: Which ones should you use for India? Preprint available on https://arxiv.org/abs/2108.08304

Tripathy, P. & Malladi, T. (2022). Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR. Natural Hazards. https://doi.org/10.1007/s11069-022-05428-2

Kumar, P. K., Balakrishnan, K. & Tripathy, P. A CNN based method for sub-pixel urban land cover mapping using Landsat 5 TM and Resourcesat 1 - LISS IV imagery. Preprint available on https://arxiv.org/abs/2112.08841

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. https://doi.org/10.1177/23998083221084990 

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, 48(8), 2188-2205. http://dx.doi.org/10.1177/2399808320967680

Tripathy, P., & Kumar, A. (2019). Monitoring and modelling spatio-temporal urban growth of Delhi using Cellular Automata and geoinformatics. Cities, 90, 52-63. https://doi.org/10.1016/j.cities.2019.01.021

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(3), 512. https://doi.org/10.3390/rs13030512