Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models
文献类型： 外文期刊
作者： Silvestro, Paolo Cosmo 1 ; Pignatti, Stefano 2 ; Pascucci, Simone 2 ; Yang, Hao 3 ; Li, Zhenhai 3 ; Yang, Guijun 3 ; H 1 ;
作者机构： 1.Univ Tuscia, DAFNE, Via San Camillo Lellis, I-01100 Viterbo, Italy
2.CNR, Inst Methodol Environm Anal, IMAA, Via Fosso Cavaliere 100, I-00133 Rome, Italy
3.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
关键词： leaf area index (LAI);canopy cover (CC);Landsat 8;HJ1A/B;artificial neural network (ANN);ensemble Kalman filter (EnKF);particle swarm optimization (PSO)
期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）
ISSN： 2072-4292
年卷期： 2017 年 9 卷 5 期
页码：
收录情况： SCI
摘要： Accurate yield estimation at the field scale is essential for the development of precision agriculture management, whereas at the district level it can provide valuable information for supply chain management. In this paper, Huan Jing (HJ) satellite HJ1A/B and Landsat 8 Operational Land Imager (OLI) images were employed to retrieve leaf area index (LAI) and canopy cover (CC) in the Yangling area (Central China). These variables were then assimilated into two crop models, Aquacrop and simple algorithm for yield (SAFY), in order to compare their performances and practicalities. Due to the models' specificities and computational constraints, different assimilation methods were used. For SAFY, the ensemble Kalman filter (EnKF) was applied using LAI as the observed variable, while for Aquacrop, particle swarm optimization (PSO) was used, using canopy cover (CC). These techniques were applied and validated both at the field and at the district scale. In the field application, the lowest relative root-mean-square error (RRMSE) value of 18% was obtained using EnKF with SAFY. On a district scale, both methods were able to provide production estimates in agreement with data provided by the official statistical offices. From an operational point of view, SAFY with the EnKF method was more suitable than Aquacrop with PSO, in a data assimilation context.
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