基于无人机高光谱遥感的水体CHL-a反演  

Water CHL-a Inversion Based on UAV Hyperspectral Remote Sensing

作　　者：白立飞[1] BAI Lifei(Shandong Institute of Geological Surveying and Mapping,Jinan 250003,China)

机构地区：[1]山东省地质测绘院,山东济南250003

出　　处：《测绘与空间地理信息》2024年第7期123-125,132,共4页Geomatics & Spatial Information Technology

摘　　要：无人机平台搭载高光谱传感器获取的高光谱数据具有高分辨率、波谱丰富的特点,本研究基于实测采样点光谱特征、采样点CHL-a浓度,采用相关性分析的方法选取最优波段,构建水体CHL-a反演模型,应用于无人机高光谱数据进行CHL-a的反演监测。结果表明:通过分析单波段、一阶微分值与CHL-a参数,发现使用674 nm、570nm波长构建的一阶微分与水体CHL-a构建的线性反演模型,具有较高的相关性与精度,可满足对小中型地表水体叶绿素的快速反演监测。基于反演结果构建空间分布图,实现水质参数的可视化。Based on the hyperspectral data obtained by the hyperspectral sensor on the UAV platform has the characteristics of high res-olution and rich spectrum.Based on the measured spectral characteristics of the sampling points and the CHL-a concentration at the sampling points,this study uses the correlation analysis method to select the optimal band,and constructs the water CHL-a inversion model,which is applied to the hyperspectral data of the UAV for CHL-a inversion monitoring.The results show that by analyzing sin-gle band,first-order differential value and CHL-a parameters,it is found that the first-order differential value constructed with 674 nm and 570 nm wavelengths and the linear inversion model constructed with water CHL-a have high correlation and accuracy,and can meet the rapid inversion monitoring of chlorophyll in small and medium-sized surface water bodies.Based on the inversion re-sults,the spatial distribution map is constructed to realize the visualization of water quality parameters.

关 键 词：无人机高光谱遥感 CHL-A 反演模型 

分 类 号：P237[天文地球—摄影测量与遥感]