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改进Sobol算法支持下的PROSAIL模型参数全局敏感性分析 被引量:20

Global Sensitivity Analysis of Parameters in the PROSAIL Model Based on Modified Sobol's Method
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摘要 定量分析模型参数的敏感性是构建参数反演模型的关键步骤。本文采用改进Sobol全局敏感性分析算法,对PROSAIL模型的输入参数进行全局敏感性分析。结果表明:1在可见光波段430~760 nm范围内,叶绿素含量的总敏感度约为80%;2在近红外波段800~1100 nm范围内,平均叶倾角、叶片干物质含量和LAI是影响冠层反射率的3个最重要的参数;3在短波红外波段1100~2500 nm范围内,叶片含水量逐渐成为影响冠层反射率的主要参数。叶绿素、水和干物质等参数吸收系数的变化及相对大小的不同是造成以上变化的主要原因。该研究可以为植被生化参数的反演提供理论基础。
出处 《测绘通报》 CSCD 北大核心 2016年第3期33-35,106,共4页 Bulletin of Surveying and Mapping
基金 高分重大专项(08-Y30B07-9001-13/15) 国家自然科学基金重点项目(51420105014) 中国水利水电科学研究院博士生学位论文创新研究资助课题
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参考文献14

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