Assimilation of Remote Sensing and Crop Model for LAI Estimation Based on Ensemble Kalman Filter  被引量:4

Assimilation of Remote Sensing and Crop Model for LAI Estimation Based on Ensemble Kalman Filter

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作  者:LI Rui LI Cun-jun DONG Ying-ying LIU Feng WANG Ji-hua YANG Xiao-dong PAN Yu-chun 

机构地区:[1]Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R.China [2]Information Engineering Institute, Capital Normal University, Beijing 100048, P.R. China [3]Chengdu Dawan High School, Chengdu 610300, P.R.China

出  处:《Agricultural Sciences in China》2011年第10期1595-1602,共8页中国农业科学(英文版)

基  金:supported by the National Natural Science Foundation of China (40701120);the Beijing Natural Science Foundation, China (4092016);the Beijing Nova, China (2008B33)

摘  要:Data assimilation in agricultural remote sensing research is of great significance to integrate with remote sensing observations and model simulations for parameters estimation. The present investigation not only designed and realized the Ensemble Kalman Filtering algorithm (EnKF) assimilation by combing the crop growth model (CERES-Wheat) with remote sensing data, but also optimized and updated the key parameters (LAI) of winter wheat by using remote sensing data. Results showed that the assimilation LAI and the observation ones agreed with each other, and the R2 reached 0.8315. So assimilation remote sensing and crop model could provide reference data for the agricultural production.Data assimilation in agricultural remote sensing research is of great significance to integrate with remote sensing observations and model simulations for parameters estimation. The present investigation not only designed and realized the Ensemble Kalman Filtering algorithm (EnKF) assimilation by combing the crop growth model (CERES-Wheat) with remote sensing data, but also optimized and updated the key parameters (LAI) of winter wheat by using remote sensing data. Results showed that the assimilation LAI and the observation ones agreed with each other, and the R2 reached 0.8315. So assimilation remote sensing and crop model could provide reference data for the agricultural production.

关 键 词:crop model ASSIMILATION Ensemble Kalman Filter algorithm leaf area index 

分 类 号:S311[农业科学—作物栽培与耕作技术] TN953[农业科学—农艺学]

 

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