Robust and Fast Sensing of Urban Flood Depth with Social Media Images Using Pre-Trained Large Models and Simple Edge Training

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Detalles Bibliográficos
Publicado en:	Hydrology vol. 12, no. 11 (2025), p. 307-328
Autor principal:	Lin, Lin
Otros Autores:	Zeng Zhenli, Tang Chaoqing, Xie Yilin, Liang Qiuhua
Publicado:	MDPI AG
Materias:	Feature extraction Environmental monitoring Multilayer perceptrons Water depth Urban hydrology Data integration Moisture content Annotations Space perception Disasters Emergency preparedness Contrast media Training Accuracy Hydrology Artificial intelligence Vectors Robustness (mathematics) Real time Scale models Water content Water engineering Big Data Social networks Floods Floodwater Social media Depth perception Monitoring Urban areas Sensors Neural networks Physical properties Social resilience Image quality Object recognition Estimation Digital media
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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