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基于能量平衡原理的FPAR遥感反演研究
引用本文:张健,刘良云,焦全军,彭代亮.基于能量平衡原理的FPAR遥感反演研究[J].遥感技术与应用,2014,29(6):976-983.
作者姓名:张健  刘良云  焦全军  彭代亮
作者单位:(1.中国科学院遥感与数字地球研究所,数字地球重点实验室,北京100094; 2.西安科技大学测绘工程与技术学院,陕西 西安710054)
基金项目:国家973项目(2010CB951701),国家科技支撑计划课题(2013BAC03B02),国家自然科学基金项目(41201354)。
摘    要:光合有效辐射吸收系数(FPAR)是描述植被结构以及冠层-大气物质与能量交换过程的基本生理变量。从能量守恒的原理出发,结合非线性混合像元模型,分析了太阳入射能量中的植被冠层反射、土壤吸收分量的光谱反演方法,建立了简化的FPAR遥感反演模型(FPEB)。分别应用2011和2013年西藏自冶区那曲实验数据\,2011年西藏自冶区当雄实验数据和2013年内蒙古自冶区海拉尔的实验数据,对建立的FPAR遥感反演模型进行了验证,并将FPEB模型反演结果与传统的植被指数统计模型反演结果进行了对比分析,结果表明:FPEB模型的FPAR反演精度优于NDVI统计模型,且与其他基于能量平衡原理提出的反演FPAR的模型相比具有输入参数少,模型简单的优势,在空间区域和时间上具有很好的普适性。

关 键 词:FPAR  PAR  能量平衡  植被指数  非线性混合像元模型  
收稿时间:2013-11-01

Retrieval of FPAR based on Energy Conservation Principle Using Remote Sensing
Zhang Jian,Liu Liangyun,Jiao Quanjun,Peng Dailiang.Retrieval of FPAR based on Energy Conservation Principle Using Remote Sensing[J].Remote Sensing Technology and Application,2014,29(6):976-983.
Authors:Zhang Jian  Liu Liangyun  Jiao Quanjun  Peng Dailiang
Affiliation:(1.Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,; Chinese Academy of Sciences,Beijing 100094,China;; 2.Xi an University of Science and Technology,Department of; Survey Engineering,Shaanxi,Xi an 710054,China)
Abstract:The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) is a physiological parameter described the vegetation structure and the exchange of carbon and energy between vegetation canopy and atmosphere.In this paper,a method for retrieving vegetation canopy reflected and soil absorbed radiation components of incident PAR was analyzed by non\|linear mixing pixel model,and a simplified semi\|empirical model of estimate FPAR base on Principle of Energy Balance (FPEB) was presented firstly.Then,the FPEB model were examined using four independent field at Nagqu district,Tibet Autonomous Region in 2011 and 2013,Dangxiong county,Tibet Autonomous Region in 2011 and Hailar district,Inner Mongolia Autonomous Region in 2013.And the FPEB model was also compared with the traditional Normalized Difference Vegetation Index (NDVI) model.The results showed that the accuracy of FPEB model was better than NDVI\|based model,and that the FPEB model was universal and valid for different regions or vegetation types.
Keywords:FPAR  PAR  Energy conservation principle  Vegetation indexes  Non-linear mixing pixel model  
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