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基于无人机高光谱遥感的水体CHL-a反演

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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674nm、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.
Water CHL-a Inversion Based on UAV Hyperspectral Remote Sensing
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.

hyperspectral remote sensing of UAVCHL-ainversion model

白立飞

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山东省地质测绘院,山东济南 250003

无人机高光谱遥感 CHL-a 反演模型

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(7)
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