地理空间信息2025，Vol.23Issue(2)：82-85,4.DOI:10.3969/j.issn.1672-4623.2025.02.018
基于时序Sentinel-2的杞麓湖蓝藻水华监测
Monitoring of Cyanobacterial Bloom in Qilu Lake Based on Time-series Sentinel-2 Data
摘要
Abstract
Due to its unique natural environment and human activities,lakes on the Yunnan Plateau are prone to environmental pollution,leading to severe environmental issues.Among them,the eutrophication-induced cyanobacterial bloom is a typical water quality problem.To explore the potential of remote sensing big data in monitoring cyanobacterial bloom in lakes,we selected Qilu Lake,where the phenomenon was particularly prominent,as the research subject,and used the time-series Sentinel-2 multi-spectral satellite data and NDVI model to study the spatio-temporal evolution characteristics.The results indicate that ①the seasonal distribution of cyanobacterial bloom in the lake is not significant,showing a more pronounced randomness.②The frequency of cyanobacterial bloom fluctuations is high.③During certain periods,there are large and signif-icant occurrences of moderate to severe cyanobacterial blooms.Remote sensing big data,especially when focusing on cyanobacterial blooms as representatives of water quality conditions,can provide accurate spatio-temporal dynamic data.This approach effectively addresses the spatial limitations of traditional station monitoring and provides a data foundation for scientifically conducting lake management.关键词
Sentinel-2/NDVI/蓝藻水华/杞麓湖Key words
Sentinel-2/NDVI/cyanobacterial bloom/Qilu Lake分类
天文与地球科学引用本文复制引用
沈金祥,程先锋,孙晓莉,杨佳涵,邓妍,付宇,施芯燕..基于时序Sentinel-2的杞麓湖蓝藻水华监测[J].地理空间信息,2025,23(2):82-85,4.基金项目
自然资源时空大数据科技创新团队项目(2021KJTD03). （2021KJTD03）
