Research & Publications

Explore my work at the intersection of remote sensing, machine learning, and automated workflows – from current research projects and grants to peer-reviewed publications.

Research Interests

My research integrates remote sensing technologies with machine learning to develop innovative, automated workflows for geospatial data analysis. This work addresses challenges in urban development, environmental monitoring, and disaster management.

Current Research Projects

Global Flood Mapper
Global Flood Mapper

A Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR data.

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pyrsgis
pyrsgis

A Python package for reading, processing, and exporting GeoTIFFs, with over 185k downloads on PyPI and Anaconda.

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COINS
COINS

An automated tool for generating street hierarchy from raw OSM data, integrated into the MomePy package.

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Grants & Fellowships

  • UCSB Department of Geography Summer Research Fellowship – $7,000 (June 2024)
  • Schmidt Family Foundation Research Accelerator Award – $8,000 (October 2023)
    Mapping Smallholder Agriculture Field Boundaries in the Indo-Gangetic Plain, India
  • Benioff Applied Environmental Science Summer Fellowship – $6,000 (April 2023)
    Using Satellites and AI to Map Smallholder Agriculture Field Boundaries With Limited Training Data
  • GEO - Microsoft Planetary Computer – $120,000 (2021)
    India Flood Monitoring and Impact Assessment Portal (IFMIAP)

Recent Publications

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. DOI Link

Guan, C., Gómez, J. A., Tripathy, P., et al. (2023)

Evaluating the impact of water protection policy on urban growth: A case study of Jiaxing. DOI Link

Tripathy, P. & Malladi, T. (2022)

Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR. DOI Link

For a complete list of publications, please visit my Google Scholar page.