太湖蓝藻水华的日动态遥感监测  

Daily Dynamic Remote Sensing Monitoring of Cyanobacterial Blooms in Taihu Lake

作　　者：严飞 张敏 YAN Fei;ZHANG Min(Wuxi Environmental Monitoring Center of Jiangsu Province,Wuxi 214000,China;Jiangsu Shagang Group Co.,Ltd.,Zhangjiagang 215600,China)

机构地区：[1]江苏省无锡环境监测中心,江苏无锡214000 [2]江苏沙钢集团有限公司,江苏张家港215600

出　　处：《中国资源综合利用》2022年第4期170-172,共3页China Resources Comprehensive Utilization

摘　　要：太湖蓝藻水华是民众和有关部门较为关注的环境问题,当前迫切需要实现蓝藻水华的时空动态监测。本研究使用NDVI指数等间隔阈值法对5 d、40景的GOCI卫星遥感影像进行了蓝藻水华提取。结果表明,基于GOCI数据的蓝藻水华提取,所使用的NDVI指数取得了较好的效果;太湖蓝藻水华的日动态变化符合蓝藻型富营养湖泊藻量昼变化规律;相比于MODIS等极轨卫星,GOCI数据具有高时间分辨率的优势,可反映蓝藻水华在一天内的动态迁移和变化过程,在湖泊蓝藻水华监测预警中具有重大应用潜力。Cyanobacterial blooms in Taihu Lake are an environmental issue that the public and relevant departments are more concerned about,and it is urgent to realize the spatiotemporal dynamic monitoring of cyanobacterial blooms at present.In this study,cyanobacterial blooms are extracted from GOCI satellite remote sensing images of 5 d and 40 scenes by using the NDVI index equal interval threshold method.The results show that the NDVI index used in the extraction of cyanobacterial blooms based on GOCI data achieves good results;the diurnal dynamic changes of cyanobacterial blooms in Taihu Lake are consistent with the diurnal variation of algal blooms in cyanobacterial eutrophic lakes;compared with polar-orbiting satellites such as MODIS,GOCI data has the advantage of high temporal resolution,which can reflect the dynamic migration and change process of cyanobacterial blooms in one day,and has great application potential in monitoring and early warning of cyanobacterial blooms in lakes.

关 键 词：蓝藻水华 遥感监测 日动态 

分 类 号：X524[环境科学与工程—环境工程] X87