Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia

作     者：Awetahegn Niguse Beyene Hongwei Zeng Bingfang Wu Liang Zhu Tesfay Gebretsadkan Gebremicael Miao Zhang Temesgen Bezabh 

作者机构：State Key Laboratory of Remote Sensing ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingChina College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijingChina Tigray Agricultural Research InstituteMekelleEthiopia Climate Change and Rural DevelopmentMekelle UniversityMekelleEthiopia 

出 版 物：《Big Earth Data》 (地球大数据（英文）)

年 卷 期：2022年第6卷第1期

页      面：18-35页

核心收录：

学科分类：081802[工学-地球探测与信息技术] 0709[理学-地质学] 08[工学] 0708[理学-地球物理学] 081105[工学-导航、制导与控制] 0818[工学-地质资源与地质工程] 09[农学] 0804[工学-仪器科学与技术] 0901[农学-作物学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Key Research and Development Project of China[2019YFE0126900] Strategic Priority Research Program of Chinese Academy of Sciences[XDA19030200] 

主　　题：Wheat yield WOFOST model Ensemble Kalman Filter remote sensing 

摘      要：Estimation of crop yield at a regional level is essential for making agricultural planning and addressing food security issues in *** sensing observations,particularly the leaf area index(LAI),have a strong relationship with crop *** study has proposed an approach to estimate wheat yield at field level and regional scale in Ethiopia by assimilating the retrieved MODIS time-series LAI data into the WOrld FOod STudies(WOFOST)*** improve the estimation of crop yield in the region,the Ensemble Kalman Filter(EnKF)was used to incorporate the LAI into the WOFOST *** estimation accuracy of wheat crop yield was validated using field-measured yields collected during the 2018 growing *** findings indicated that wheat yield was more precisely estimated by WOFOST(at water-limited mode)with EnKF algorithm(R^(2)=0.80 and RMSE=413 kg ha^(−1))compared to that of without assimilating remotely sensed LAI(R^(2)=0.58,RMSE=592 kg ha^(−1)).These results demonstrated that assimilating MODIS-LAI into WOFOST has high potential and practicality to give a reference for wheat yield *** findings from this study can provide information to policy,decision-makers,and other similar sectors to implement an appropriate and timely yield estimation measure.