20 citations · 24 across the 7 of their papers we have counts for
6 papers · 1 filter
FireGraphNet: Sub-daily wildfire spread prediction with directed graph neural networks
Aiyshwariya Paulvannan Kanmani, Miguel Esparza, Ali Mostafavi
Wildfire decisions are made in hours, yet most learned spread models predict daily on targets including burned area. We propose FireGraphNet which formulates 12-hour growth as node…
Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Prediction
Miguel Esparza, Aydin Ayanzadeh, Aydin Ayanzadeh Ahmad Mousavi +2
Next-day wildfire prediction requires models whose forecasts can be evaluated alongside the assumptions and historical evidence used in their computation. Although deep learning ca…
Beyond Backscatter: AlphaEarth Land-Cover Priors for Rapid SAR Flood Segmentation Across Foundation Backbones
Sanjay Thasma, Yu-Hsuan Ho, Ali Mostafavi
Rapid flood mapping is critical for emergency response, yet optical imagery is often unusable during major flooding and single-temporal SAR is ambiguous, since new inundation, perm…
Damage-TriageFormer: A Foundation-Model Framework for Typology-Based Building Damage Assessment from Mono-Temporal Imagery
Yiming Xiao, Yu-Hsuan Ho, Sanjay Thasma +2
Decision-relevant building damage assessment is critical for prioritizing resources and recovery after a disaster, yet most automated methods either flatten damage into a single se…
Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models
Lipai Huang, Adithi Srinath, Manas Singh +2
Near-real-time flood depth prediction demands surrogate models that are accurate, fast, and transferable across watersheds. Supervised surrogates can match physics-based simulators…
Property-Level Flood Risk Assessment Using AI-Enabled Street-View Lowest Floor Elevation Extraction and ML Imputation Across Texas
Xiangpeng Li, Yu-Hsuan Ho, Sam D Brody +1
This paper argues that AI-enabled analysis of street-view imagery, complemented by performance-gated machine-learning imputation, provides a viable pathway for generating building-…