Author

Ziqi Liu

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#artificial intelligence Preprint Sep 2026

Decoding the Disaster: Multi-Task Geospatial Reasoning with Vision-Language Models and Crowdsourced Imagery for Disaster Mapping

Crowdsourced imagery provides timely, fine-grained, street-level observations for disaster mapping, complementing conventional remote sensing imagery (RSI) during emergency response. However, such imagery is often unstructured, spatially ambiguous, and lacks reliable geographic metadata, making manual geolocalization a...

Wen-Ping Yin, Fabian Desuer, Zi-Qi Liu et al. · 0 citations

Jul 2026

DisasterTD: Disaster Toponym Disambiguation Using Multimodal LLMs and Cross-View Geolocalization

Disaster TD, a disaster toponym disambiguation framework that integrates multimodal large language models (MLLMs)-based semantic reasoning with cross-view geolocalization, is proposed, demonstrating the effectiveness of integrating MLLM-based candidate generation with cross-view verification for fine-grained disaster g...

Wenping Yin, Ziqi Liu, Naixia Mou et al. · IEEE Transactions on Geoscie... · 0 citations