India is one of the most flood-prone countries globally, yet national-scale flood vulnerability assessments that holistically integrate social, economic, institutional, and physical drivers remain scarce. This project aims to develop high-resolution
Section: Engineering Sciences (Research Project)
Related:
A Novel
A Novel Machine Learning-Driven Real-Time Flash Flood Forecasting Framework Using 3D Storm Bias-Corrected and Downscaled Satellite-Based Precipitation Estimates
Research Project › Engineering Sciences
Landslide susceptibility
Landslide susceptibility Mapping and Monitoring using Machine Learning and IoT: A case study of Meghalaya, India
Research Project › Engineering Sciences
Flash flood
Flash flood risk assessment using satellite images, GIS tools and hydrological modeling
Research Project › Astronomy & Space Sciences
Integrating SWOT
Integrating SWOT Satellite Data and Advanced Physics-Informed Machine Learning for Improved Hydrological Analysis (SWOT-HydroPML)
Research Project › Earth, Atmosphere & Environment Sciences
Machine Learning-Integrated
Machine Learning-Integrated Point-of-Care Detection of Exosome-Derived Non-Invasive Biomarkers for Preeclampsia
Research Project › Life Sciences & Biotechnology