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arXiv cs.CL
arXiv cs.CL
8/4/2026
Obshazard-bench: Benchmarking Multimodal Foundation Models for Real-Time Disaster Intelligence from Raw Earth Observation Streams

Obshazard-bench: Benchmarking Multimodal Foundation Models for Real-Time Disaster Intelligence from Raw Earth Observation Streams

Short summary

Obshazard-bench is a new benchmark evaluating multimodal LLMs on real-time disaster intelligence using raw satellite data streams instead of pre-processed products. It covers 8 disaster categories across 60+ countries with 120+ historical events and a three-stage taxonomy matching operational disaster workflows. Experiments reveal significant limitations in current foundation models for converting raw physical observations into decision-relevant disaster reasoning.

  • •New benchmark integrates raw satellite streams with ground observations for real-time disaster evaluation
  • •Covers 8 disaster categories, 28 sub-categories, 120+ events across 60+ countries
  • •Three-stage taxonomy: pre-disaster anticipation, active evolution reasoning, post-disaster impact quantification
  • •Current foundation models show substantial limitations in raw observation-to-reasoning translation

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