泥沙研究2025，Vol.50Issue(6)：46-52,60,8.DOI:10.16239/j.cnki.0468-155x.2025.06.007
基于Sentinel-2 MSI数据的长江表层悬移质泥沙浓度估算
Estimation of surface suspended sediment concentration in the Yangtze River using Sentinel-2 MSI data
摘要
Abstract
To address the limitations of traditional in situ suspended sediment concentration(SSC)measure-ments,including high costs and restricted spatial coverage,a novel river surface SSC inversion method is de-veloped using Sentinel-2 satellite data.By integrating the Forel-Ule index water classification system with tur-bidity-adaptive spectral,an SSC inversion model applicable to varying turbidity conditions has been estab-lished.Validation results demonstrate high model accuracy,the root mean square error is 24.87 g/m3,with an average relative error of 51.91％,and strong correlation with measurement data in hydrological stations.Time-series analysis from 2017 to 2021 reveals distinct spatiotemporal SSC patterns in the Yangtze River main-stream:temporally,it shows cyclic variations with high values during flood seasons and low values in non-flood seasons;spatially,it shows the gradient pattern with higher SSC in east and lower in west reaches.关键词
悬移质泥沙浓度/遥感反演/自适应光谱建模/长江干流/时空分布Key words
suspended sediment concentration/remote sensing inversion/adaptive spectral modeling/Yangtze River mainstream/spatio-temporal distribution分类
建筑与水利引用本文复制引用
李雨晨,刘新波,金和平,罗惠恒,杨磊,张为..基于Sentinel-2 MSI数据的长江表层悬移质泥沙浓度估算[J].泥沙研究,2025,50(6):46-52,60,8.基金项目
中国长江电力股份有限公司科研项目(Z242302045) （Z242302045）
