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遥感反演时间序列叶面积指数的集合卡尔曼平滑算法
作者姓名:Jin HA  Wang JD  Xiao ZQ  Li XJ
作者单位:北京师范大学地理学与遥感科学学院,遥感科学国家重点实验室,北京100875
基金项目:国家(973计划)项目课题(2007CB714407); 国家自然科学基金项目(40871163); 国家(863计划)课题(2009AA122103,2006AA120108)资助
摘    要:基于MODIS LAI产品数据集(MOD15A2)构建经验性的LAI动态模型,以LAI作为连接参数,将LAI动态模型与植被辐射传输模型MCRM2相耦合,提出了将耦合模型与时间序列MODIS反射率观测数据集(MOD09A1)同化进行LAI反演的方案.将集合卡尔曼平滑(EnKS)方法引入到LAI同化反演中,为更好地评价该算...

关 键 词:叶面积指数  数据同化  MODIS  集合卡尔曼平滑

Use of ensemble Kalman smoother algorithm for the time-series retrieval of leaf area index from remote sensing data
Jin HA,Wang JD,Xiao ZQ,Li XJ.Use of ensemble Kalman smoother algorithm for the time-series retrieval of leaf area index from remote sensing data[J].Spectroscopy and Spectral Analysis,2011,31(9):2485-2490.
Authors:Jin Hua-An  Wang Jin-Di  Xiao Zhi-Qiang  Li Xi-Jia
Institution:JIN Hua-an,WANG Jin-di,XIAO Zhi-qiang,LI Xi-jia School of Geography and Remote Sensing Science,Beijing Normal University,State Key Laboratory of Remote Sensing Science,Beijing 100875,China
Abstract:In the present paper,the empirical LAI dynamic model was constructed using the MOD15A2 data set,and the canopy radiative transfer model MCRM2 was coupled with the LAI dynamic model through LAI.The scheme was proposed to retrieve LAI by assimilating MOD09A1 data set into the coupled model.The ensemble Kalman smoother(EnKS) method was first introduced.In order to preferably assess the feasibility of EnKS,the LAI retrieval results of EnKS were compared with the ensemble Kalman filter(EnKF) solutions and MODIS ...
Keywords:Leaf area index  Data assimilation  MODIS  Ensemble Kalman smoother  
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