| 遥感信息与作物生长模型的区域作物单产模拟 |
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| 引用本文： | 任建强,陈仲新,唐华俊,周清波,秦 军.遥感信息与作物生长模型的区域作物单产模拟[J].农业工程学报,2011,27(8):257-264. |
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| 作者姓名： | 任建强 陈仲新 唐华俊 周清波 秦 军 |
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| 作者单位： | 1. 农业部资源遥感与数字农业重点开放实验室,北京100081;中国农业科学院农业资源与农业区划研究所,北京100081
2. 中国科学院青藏高原研究所,北京,100085 |
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| 基金项目： | 科技部国际科技合作项目（2010DFB10030）；农业部“948计划”项目（2009-Z31，2011-G6）；欧盟FP7计划E-Agri项目（资助编号270351）；中国农业科学院农业资源与农业区划研究所中央级公益性科研院所基本科研业务费专项（IARRP-2009-27，IARRP-2011-42）；农业部“全国农情遥感监测业务化运行”项目资助。 |
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| 摘 要： | 利用外部数据同化作物生长模型提高区域作物单产模拟精度是近年来的研究热点.该文以遥感反演的叶面积指数(LAI)作为结合点,以黄淮海粮食主产区典型县市夏玉米为研究对象,在区域尺度利用全局优化的复合形混合演化( SCE-UA)算法进行了遥感反演LAI信息同化EPIC (environmental policy integra...
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| 关 键 词： | 遥感 作物生长模型 估产 叶面积指数 数据同化 全局优化算法 |
| 收稿时间： | 3/8/2011 12:00:00 AM |
| 修稿时间： | 2011/7/22 0:00:00 |
Regional crop yield simulation based on crop growth model and remote sensing data |
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| Ren Jianqiang,Chen Zhongxin,Tang Huajun,Zhou Qingbo and Qin Jun.Regional crop yield simulation based on crop growth model and remote sensing data[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(8):257-264. |
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| Authors: | Ren Jianqiang Chen Zhongxin Tang Huajun Zhou Qingbo and Qin Jun |
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| Abstract: | Assimilating external data into crop growth model to improve accuracy of crop growth monitoring and yield estimation is a research hotspot in recent years. In this paper, the global optimization algorithm SCE-UA (Shuffled Complex Evolution method - University of Arizona) was used to integrate remote sensing leaf area index (LAI) with crop growth model EPIC to simulate regional yield, sowing date, plant density, and net nitrogen fertilizer application amount of summer maize in Huanghuaihai Plain. The results showed that the average relative error of estimated summer maize yield was 4.37%, and RMSE was 0.44 t/hm2. By comparison of the observation data, the root mean square error (RMSE) of simulated sowing date, plant density and net nitrogen fertilization application amount was 4.16 days, 1.0 plant/m2, 40.64 kg/hm2 respectively. The absolute error of simulated sowing date was 3 days, the average relative error of simulated plant density and net nitrogen fertilization application amount was -7.78% and -10.60% respectively. The accuracy of simulated results could meet the need of crop monitoring at regional scale, and it was proved that integrating remote sensing LAI with EPIC model based on global optimization algorithm SCE-UA for simulation of crop growth condition and crop yield was feasible. |
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| Keywords: | remote sensing crop growth model yield estimation LAI data assimilation global optimization algorithm |
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