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为了对植被参数反演以及模型优化提供一定的参考,采用扩展傅立叶幅度灵敏度检验法(EFAST)对PROSAIL模型的各输入参数进行全局敏感性定量化分析,筛选出对模型结果影响最大的参数。结果表明:在红光波段,总敏感指数大于0.1的参数依次为Cab、Ns、Hspot和LAI,其中Cab的总敏感性指数最大为0.489,是在红光波段范围对PROSAIL模型模拟结果影响最显著的参数。在近红外波段,总敏感指数大于0.1的参数依次为LAI、Cm、ALA、Ns和Hspot,LAI是近红外波段区域对PROSAIL模型模拟结果影响最大的参数,其总敏感性指数高达0.512。
In order to provide some reference for the inversion of vegetation parameters and model optimization, the global sensitivity of each input parameter of PROSAIL model was quantitatively analyzed by using the extended Fourier amplitude sensitivity test (EFAST), and the parameters that had the greatest influence on the model results were screened out. The results showed that the parameters of Cab, Ns, Hspot and LAI with the total sensitivities of more than 0.1 were in the red band. The maximum sensitivity index of Cab was 0.489, which had the most significant effect on the PROSAIL model in the red band The parameters. In the near infrared band, LAI, Cm, ALA, Ns and Hspot are the parameters whose total sensitivities are more than 0.1. LAI is the most influential parameter in the near-infrared region of the PROSAIL model, and its total sensitivity index is as high as 0.512.