机载激光雷达的作物叶面积指数定量反演

为了进一步挖掘激光雷达在植被垂直结构探测上的潜力，通过引入Kuusk的多层均匀冠层方向反射模型的单次散射部分，基于激光雷达发射和回波波形的高斯特征，模拟作物激光雷达回波，建立了作物叶面积体密度和叶面积指数的反演方法。模型输入参数的敏感性分析显示：G函数对反演结果的影响比土壤和叶片反射率大。最后利用“黑河综合遥感联合试验”的数据对反演方法进行了验证：反演的作物叶面积体密度与实测数据基本一致，叶面积指数反演的相对误差为12.5%。结果表明该方法可以有效反演作物叶面积体密度和叶面积指数，为作物结构参数反演提供了新的途径。

Inversion of leaf area index based on small-footprint waveform airborne LIDAR

In order to study the detection of vertical structure information of vegetation, a simulation of LIDAR return waveform based on the single scattering of crown reflectance model and the Gaussian character of incidence and return waveform was proposed. The corresponding inversed method was established to calculate the crop leaf area density and leaf area index. The sensitivity analysis illustrated G function had a larger impact on inversed results than soil and leaf reflectivity. Finally, the data of Water (Watershed Airborne Telemetry Experimental Research) was used to validate this method. The results showed that the inversed leaf area density was consistent with the field measurement data, and the relative error of the inversed LAI was 12.5%. Therefore, this method can provide a new way to detect the vegetation structural parameters.