华北水利水电大学学报（自然科学版）2025，Vol.46Issue(2)：23-31,9.DOI:10.19760/j.ncwu.zk.2025019
基于MODIS数据的太湖蓝藻水华监测方法比较与分析
Multi-algorithm Assessment of Cyanobacterial Bloom Dynamics in Lake Taihu Using MODIS Data
摘要
Abstract
Accurate monitoring of cyanobacterial blooms is critical for aquatic ecosystem management,yet methodological dis-crepancies in remote sensing approaches remain unresolved.This study focuses on Lake Taihu and utilizes MODIS satellite imagery and land cover classification data to extract the spatial extent of cyanobacterial blooms in the lake.Five methods,in-cluding band ratio,normalized difference vegetation index(NDVI),floating algae index(FAI),support vector machine(SVM),and random forest(RF),are employed to estimate the outbreak areas of cyanobacterial blooms(2010-2022).Temporal analysis revealed distinct bloom dynamics:relatively stable conditions during 2010-2014 were followed by escala-ting outbreaks from 2015 onward,peaking in 2021 before an abrupt decline in 2022.Quantitative validation through Kappa statistics demonstrated SVM′s superior performance(mean k=0.77),significantly outperforming NDVI(k=0.61),which exhibited substantial spatial-temporal inconsistency.When compared with the Taihu algal blooms product,the monitoring re-sults of various methods show differences in accuracy and stability,while the SVM algorithm demonstrates the best perform-ance.Therefore,this study proposes an adaptive monitoring framework combining SVM′s classification robustness with FAI′s sensitivity to early-stage blooms.Our findings emphasize the necessity for context-specific algorithm selection and highlight the potential of hybrid approaches for operational monitoring systems.关键词
蓝藻水华/太湖/遥感监测/MODIS数据Key words
cyanobacterial blooms/Lake Taihu/remote sensing detection/MODIS data分类
测绘与仪器引用本文复制引用
王健,张逸飞,智力,王玉..基于MODIS数据的太湖蓝藻水华监测方法比较与分析[J].华北水利水电大学学报（自然科学版）,2025,46(2):23-31,9.基金项目
国家自然科学基金项目(42101362) （42101362）
河南省科技攻关项目(232102111123). （232102111123）
