摘要
以巢湖为研究区,通过对蓝藻水华暴发程度与其光谱反射率之间关系的研究,确定MOD IS遥感影像识别水华暴发级别的阈值,对4类不同暴发程度蓝藻水华光谱特征进行遥感识别;进而确立巢湖水体富营养化评价方法,建立巢湖富营养化遥感反演模型,为实时监控巢湖水质,预警蓝藻水华暴发提供技术支持。
Relationship between outbreak degree of cyanophyte bloom and its reflectance was studied to determine the threshold level of bloom outbreak of remote sensing in Chaohu Lake.Four kinds of spectral signatures were identified at different outbreak levels of cyanophyte bloom.Evaluation methods and remote sensing inversion were established to monitoring water quality for early warning of Cyanobacteria blooms outbreak in Chaohu Lake.
出处
《环境监测管理与技术》
2010年第4期55-57,60,共4页
The Administration and Technique of Environmental Monitoring
基金
中国环境监测总站转型发展科研支撑基金资助项目(CNEMC-ZXKY2009-033)
安徽省发展改革委员会巢湖污染综合治理科技示范和重点课题基金资助项目
关键词
遥感监测
富营养化
蓝藻
巢湖
Remote sensing monitoring
Eutrophication
Cyanobacteria
Chaohu lake
