Research on Yellow River ice floe monitoring technology based on multi-source data
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.
国家科技期刊平台
NSTL
万方数据
