Exploring the Synergistic Construction of Urban Stormwater Resilience in UAV Remote Sensing and Infrastructure

Abstract

The process of urbanisation and extream weathers has caused increased risk on pluvial flooding, while traditional monitoring methods shows obvious limitations on real_time dynamic response. This study systematically explores the application models and implementation pathways of UAV remote sensing and low-altitude infrastructure coordination technologies in enhancing urban flood resilience. By integrating low-altitude infrastructure networks, we establish a collaborative framework covering data acquisition, transmission, and analysis, with a particular focus on their integrated applications in water accumulation monitoring, disaster assessment, and emergency decision-making. The findings indicate that this technological framework significantly improves surface water accumulation detection accuracy through multi-source data fusion, achieves substantial breakthroughs in disaster assessment efficiency through computational advancements, and validates its effectiveness in emergency response during typical urban storm events. Additionally, the study identifies key constraints such as airspace management mechanisms and environmental adaptability of equipment, proposing directions for technology standardization and system resilience optimization. These findings provide methodological support and practical insights for the advancement of intelligent urban flood management systems.