Title
Assimilating Modis-Lai Into Crop Growth Model With Enkf To Predict Regional Crop Yield
Abstract
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.
Year
DOI
Venue
2011
10.1007/978-3-642-27275-2_46
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT III
Keywords
Field
DocType
Remote sensing, WOFOST, EnKF, Data Assimilation
Crop production,Crop growth,Assimilation (phonology),Crop yield,Crop,Remote sensing,Environmental science,Data assimilation,Agricultural engineering,Food security
Conference
Volume
Issue
ISSN
370
PART 3
1868-4238
Citations 
PageRank 
References 
1
0.38
0
Authors
6
Name
Order
Citations
PageRank
Sijie Wu1162.30
Jianxi Huang21013.31
Xingquan Liu341.59
Jinlong Fan4397.12
Guannan Ma5162.30
Jinqiu Zou6173.26