农业工程学报2011，Vol.27Issue(10)：101-106,6.DOI:10.3969/j.issn.1002-6819.2011.10.018
基于遥感数据与作物生长模型同化的作物长势监测
Monitoring crop growth based on assimilation of remote sensing data and crop simulation model
摘要
Abstract
Remote sensing observation and crop growth model simulation are two effective ways for crop growth monitoring, and they can well complement each other. Establishing assimilation system of remote sensing data and crop growth model is an interesting research field. Assimilation involves multidisciplinary integration, so it is necessary to construct a basic assimilation system integrated with models, algorithms and datasets of many kinds to reduce the difficulty of research and applications of data assimilation. In this study, in order to establish the assimilation system prototype of crop growth model and remote sensing data, modular design was used to realize the combination of CERES-Wheat model, very fast simulated annealing algorithm and remote sensing data. Ground hyper-spectral data was chosen as remote sensing data, and the system was tested and preliminarily applied to estimate wheat LAI. The results show that the assimilated LAI can well agree with the measured LAI, and the assimilation system established is feasible. The assimilation system can provide a platform for the basic research and application of the coupling of remote sensing data and crop growth model.关键词
遥感/同化系统/高光谱数据/作物生长模型/极快速模拟退火算法/叶面积指数Key words
remote sensing/ assimilation system/ hyper-spectral data/ crop growth model/ very fast simulated annealing/ leaf area index分类
信息技术与安全科学引用本文复制引用
刘峰,李存军,董莹莹,王芊,王纪华,黄文江..基于遥感数据与作物生长模型同化的作物长势监测[J].农业工程学报,2011,27(10):101-106,6.基金项目
北京市自然科学基金(4092016) （4092016）
北京市科技新星计划(2008B33) （2008B33）
国家自然科学基金(40701120) （40701120）
