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PROSAIL模型的参数敏感性研究
引用本文:王李娟,牛铮. PROSAIL模型的参数敏感性研究[J]. 遥感技术与应用, 2014, 29(2): 219-223. DOI: 10.11873j.issn.1004-0323.2014.2.0219
作者姓名:王李娟  牛铮
作者单位:(1.江苏师范大学测绘学院,江苏 徐州 221116;2.中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100094)
基金项目:国家重点基础研究发展规划项目(2010CB950603),公益性行业(气象)科研专项经费(GYHY201006042),国家自然科学基金(40971202,41001209),江苏师范大学博士教师科研启动项目(13XLR042)。
摘    要:
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。

关 键 词:PROSAIL模型  敏感性分析  EFAST  
收稿时间:2012-09-08

Sensitivity Analysis of Vegetation Parameters based on PROSAIL Model
Wang Lijuan,Niu Zheng. Sensitivity Analysis of Vegetation Parameters based on PROSAIL Model[J]. Remote Sensing Technology and Application, 2014, 29(2): 219-223. DOI: 10.11873j.issn.1004-0323.2014.2.0219
Authors:Wang Lijuan  Niu Zheng
Affiliation: (1.School of Geodesy and Geomatus,Jiangsu Normal University,Xuzhou 221116,China;;2.The State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and;Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)  
Abstract:
To provide a reference for parameter inversion and the model optimization,the Extended Fourier Amplitude Sensitivity Test (EFAST)was used to global sensitivity analysis of the PROSAIL model parameters.This paper quantified the sensitivity,and screened out the parameter which had the greatest impact to the model results.The results show that:in the red band,the parameters Cab,Ns,Hspot and LAI,are more than 0.1 of total sensitivity index.The total sensitivity index of Cab is high to 0.489,which is the primary impact parameter to the PROSAIL model simulation results.In the near|infrared band,the parameters LAI,Cm,ALA,Ns and Hspot are more than 0.1 of total sensitivity index.The sensitivity index of LAI is high to 0.512,which is the greatest impact parameter to the PROSAIL model simulation results.
Keywords:PROSAIL model  Sensitivity Analysis  EFAST
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