水利信息化Issue(4)：27-32,6.DOI:10.19364/j.1674-9405.2024.04.005
基于多源数据的黄河冰凌监测技术研究
Research on Yellow River ice floe monitoring technology based on multi-source data
冯士贺 1于苹苹 1段同苑 1刘俊杰1
作者信息
- 1. 山东黄河河务局山东黄河信息中心,山东 济南 250013
- 折叠
摘要
Abstract
To enhance the accuracy and efficiency of Yellow River ice floe monitoring and overcome the limitations of precision and efficiency in traditional manual observations,this study integrates satellite remote sensing,unmanned aerial vehicle(UAV)remote sensing,and video surveillance technologies to carry out research on ice floe monitoring technology based on multi-source data.This technology can utilize multispectral remote sensing images combined with the snow cover index method to achieve comprehensive monitoring of river ice floe.Meanwhile,it precisely obtains key parameters of ice floe with UAV automatic recognition technology and detects and warns about changes in ice floe density in real time through video surveillance technology.In this research,the error margin for UAV remote sensing parameters is controlled within 5%,and the error for video surveillance technology ranges from a maximum of 7.2%down to a minimum of only 0.1%.Applications by Shandong Yellow River Conservancy Bureau indicate that this technology not only significantly improves work efficiency but also revolutionizes the traditional ice floe monitoring mode,greatly supporting river management and related operations.It holds significant value for intelligent monitoring and early warning of river ice disasters in high-latitude regions and also provides reliable image results for visual ice condition analysis,demonstrating broad application potential in the future.关键词
黄河冰凌监测/多源数据/卫星遥感/无人机遥感/视频监控/冰凌密度/流速估计/可视化冰情分析Key words
Yellow River ice floe monitoring/multi-source data/satellite remote sensing/UAV remote sensing/video surveillance/ice floe density/flow rate estimation/visual ice condition analysis分类
建筑与水利引用本文复制引用
冯士贺,于苹苹,段同苑,刘俊杰..基于多源数据的黄河冰凌监测技术研究[J].水利信息化,2024,(4):27-32,6.
