Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain

	Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain
	Yao, Fengmei 1; Tang, Yanjing 1; Wang, Peijuan 1; Zhang, Jiahua 1
刊名	PHYSICS AND CHEMISTRY OF THE EARTH
	2015
卷号	87-88 页码:5237-5249
关键词	Process-based model Maize Crop yield C-4 crop Remote sensing Northeast China Plain
通讯作者	Zhang, JH (reprint author), Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
英文摘要	Climate change significantly impact on agriculture in recent year, the accurate estimation of crop yield is of great importance for the food security. In this study, a process-based mechanism model was modified to estimate yield of C-4 crop by modifying the carbon metabolic pathway in the photosynthesis sub-module of the RS-P-YEC (Remote-Sensing-Photosynthesis-Yield estimation for Crops) model. The yield was calculated by multiplying net primary productivity (NPP) and the harvest index (HI) derived from the ratio of grain to stalk yield. The modified RS-P-YEC model was used to simulate maize yield in the Northeast China Plain during the period 2002-2011. The 111 statistical data of maize yield from study area was used to validate the simulated results at county-level. The results showed that the Pearson correlation coefficient (R) was 0.827 (p < 0.01) between the simulated yield and the statistical data, and the root mean square error (RMSE) was 712 kg/ha with a relative error (RE) of 9.3%. From 2002 to 2011, the yield of maize planting zone in the Northeast China Plain was increasing with smaller coefficient of variation (CV). The spatial pattern of simulated maize yield was consistent with the actual distribution in the Northeast China Plain, with an increasing trend from the northeast to the southwest. Hence the results demonstrated that the modified process-based model coupled with remote sensing data was suitable for yield prediction of maize in the Northeast China Plain at the spatial scale. (C) 2015 Elsevier Ltd. All rights reserved.
研究领域[WOS]	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000367697200016
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38498]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Yao, Fengmei] Univ Chinese Acad Sci, Key Lab Computat Geodynam, Beijing 100049, Peoples R China 2.[Tang, Yanjing 3.Wang, Peijuan] Chinese Acad Meteorol Sci, Inst Ecoenvironm & Agrometeorol, Beijing 100081, Peoples R China 4.[Zhang, Jiahua] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 5.[Zhang, Jiahua] Yangtze Univ, Coll Geosci, Wuhan 430100, Peoples R China
推荐引用方式 GB/T 7714	Yao, Fengmei,Tang, Yanjing,Wang, Peijuan,et al. Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2015,87-88:5237-5249.
APA	Yao, Fengmei,Tang, Yanjing,Wang, Peijuan,&Zhang, Jiahua.(2015).Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain.PHYSICS AND CHEMISTRY OF THE EARTH,87-88,5237-5249.
MLA	Yao, Fengmei,et al."Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain".PHYSICS AND CHEMISTRY OF THE EARTH 87-88(2015):5237-5249.