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Journal of Integrative Agriculture  2011, Vol. 10 Issue (10): 1595-1602    DOI: 10.1016/S1671-2927(11)60156-9
SOIL & FERTILIZER · AGRI-ECOLOGY & ENVIRONMENT Advanced Online Publication | Current Issue | Archive | Adv Search |
Assimilation of Remote Sensing and Crop Model for LAI Estimation Based on Ensemble Kalman Filter
 LI Rui, LI Cun-jun, DONG Ying-ying, LIU Feng, WANG Ji-hua, YANG Xiao-dong , PAN Yu-chun
1.Beijing Research Center for Information Technology in Agriculture
2.Information Engineering Institute, Capital Normal University
3.Chengdu Dawan High School
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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.

Abstract  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.
Keywords:  crop model      assimilation      Ensemble Kalman Filter algorithm      leaf area index  
Received: 27 August 2010   Accepted:
Fund: 

This research was supported by the National Natural Science Foundation of China (40701120), the Beijing Natural Science Foundation, China (4092016), and the Beijing Nova, China (2008B33).

Corresponding Authors:  Correspondence LI Cun-jun, Associate Professor, Tel: +86-10-51503692, Fax: +86-10-51503750, E-mail: licj@nercita.org.cn     E-mail:  licj@nercita.org.cn

Cite this article: 

LI Rui, LI Cun-jun, DONG Ying-ying, LIU Feng, WANG Ji-hua, YANG Xiao-dong , PAN Yu-chun. 2011. Assimilation of Remote Sensing and Crop Model for LAI Estimation Based on Ensemble Kalman Filter. Journal of Integrative Agriculture, 10(10): 1595-1602.

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