摘要
以云南星云湖和深圳茅洲河为例,利用无人机高光谱成像仪获取研究区高光谱影像的同时对地面水质参数进行采样,构建水质参数的最佳双波段监测模型。结果表明:叶绿素a的模型精度最高(R^2=0.99,RPD=7.55),其次是悬浮物(R^2=0.95,RPD=4.86),总氮(R^2=0.88,RPD=2.04)和总磷(R^2=0.86,RPD=1.93),最低是浊度(R^2=0.60,RPD=1.65)。无人机高光谱成像技术为城市河流、湖泊的水质监测提供了全新的数据来源和技术手段,同时也为湖泊、河流的水环境保护及治理提供了依据。
UAV hyperspectral imaging technology can be used to visualize the distribution of water parameters in rivers and lakes.Taking the Xingyun Lake in Yunnan Province and the Maozhou River in Shenzhen as an example,the UAV hyperspectral imager was used to obtain the hyperspectral image of the study area and the surface water quality parameters were sampled to construct the optimal dual-band monitoring model for water quality parameters.The results showed that the model of chlorophyll a had the highest accuracy(R^2=0.99,RPD=7.55),followed by suspended solids(R^2=0.95,RPD=4.86),total nitrogen(R^2=0.88,RPD=2.04),total phosphorus(R^2=0.86,RPD=1.93)and turbidity(R^2=0.60,RPD=1.65).It is shown that UAV hyperspectral imaging technology can provide a new data source and technical means for water quality monitoring of urban rivers and lakes,and provide a basis for water environmental protection and treatment of lakes and rivers.
作者
黄宇
陈兴海
刘业林
孙梅
陈海霞
王雪
HUANG Yu;CHEN Xinghai;LIU Yelin;SUN Mei;CHEN Haixia;WANG Xue(College of Agriculture,Nanjing Agricultural University,Nanjing 210095,China;Sichuan Dualix Spectral Image Technology Co.Ltd,Chengdu 610031,China;School of Computer and Information Engineering,Beijing Technology and Business University,Beijing 100101,China;Beijing Zhuoli Hanguang Instrument Co.Ltd.,Beijing 101102,China)
出处
《人民长江》
北大核心
2020年第3期205-212,共8页
Yangtze River
基金
江苏省科技支撑计划项目(BE2012302)
国家自然科学基金项目(31371534)。
关键词
水质参数
无人机
高光谱
水质监测模型
water quality parameters
UAV
hyperspectral
monitoring model of water quality
