文献类型: 会议论文
第一作者: Sijie Wu
作者: Sijie Wu 1 ; Jianxi Huang 2 ; Xingquan Liu 1 ; Jinlong Fan 3 ; Guannan Ma 2 ; Jinqiu Zou 4 ;
作者机构: 1.School of Geosciences and Info-Physics, Central South University, 410083, Changsha, China
2.College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China
3.National Satellite Meteorological Center, China Meteorological Administration, 100083, Beijing, China
4.Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
关键词: remote sensing;WOFOST;EnKF;data assimilation
会议名称: IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture
主办单位:
页码: 410-418
摘要: Regional crop yield prediction is a vital component of national food security assessment. Data assimilation method which combines crop growth model and remotely sensed data has been proven the most potential method in regional crop production estimation. This paper takes Hengshui district as study area, WOFOST as crop model, MODIS-LAI as observation data to test and verify the efficiency of EnKF assimilation method. The results show that the precision of crop yield estimation are obviously improved with EnKF assimilation, in the WOFOST potential level the R~2 improved from 0.10 to 0.38 and RMSE was reduced from 2480 kg/ha to 880kg/ha. Our study indicates that EnKF assimilation method has great potential in regional crop production forecasting.
分类号: S1`TP3
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