5 papers
DamageArbiter: A Multimodal Arbitration Framework for Disaster Damage Assessment from Street-View Imagery
Yifan Yang, Lei Zou, Wenjing Gong +6
Analyzing street-view imagery with computer vision models offers a promising approach for rapid, hyperlocal disaster damage assessment, but existing approaches typically rely on bl…
RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery
Yifan Yang, Wenjing Gong, Kaili Zhang +5
Due to the increasing frequency and intensity of extreme climate events, there is a clear demand for intelligent, scalable, and autonomous approaches to disaster damage assessment.…
Integrating earth observation data into the tri-environmental evaluation of the economic cost of natural disasters: a case study of 2025 LA wildfire
Zongrong Li, Haiyang Li, Yifan Yang +2
Wildfires in urbanized regions, particularly within the wildland-urban interface, have significantly intensified in frequency and severity, driven by rapid urban expansion and clim…
BuildingView: Constructing Urban Building Exteriors Databases with Street View Imagery and Multimodal Large Language Mode
Zongrong Li, Yunlei Su, Hongrong Wang +1
Urban Building Exteriors are increasingly important in urban analytics, driven by advancements in Street View Imagery and its integration with urban research. Multimodal Large Lang…
StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model
Zongrong Li, Junhao Xu, Siqin Wang +2
Geospatial predictions are crucial for diverse fields such as disaster management, urban planning, and public health. Traditional machine learning methods often face limitations wh…