干旱区生态环境知识资源中心(Arid): 基于遥感蒸散发的区域作物估产方法

Arid

	基于遥感蒸散发的区域作物估产方法
其他题名	Method of regional crop yield estimation based on remote sensing evapotranspiration model
	蒋磊 1; 尚松浩 2; 杨雨亭 2; 王仰仁 3
来源期刊	农业工程学报
ISSN	1002-6819
出版年	2019
卷号	35 期号:14 页码:90-97
中文摘要	灌区作物产量估算对农业用水效率评价和灌区水分管理具有重要意义。该研究以干旱区代表性灌区-内蒙古河套灌区主要农作区为研究对象,基于遥感蒸散发模型HTEM和遥感作物识别结果获取河套灌区玉米生育期日蒸散发量。选取Jensen模型、Blank模型和Stewart模型3种常用水分生产函数模型,建立河套灌区玉米估产模型,并分析各估产模型的适用性及其参数。结果表明,研究区玉米生育期多年平均蒸散发量约为526 mm。3个模型均有较高的估产精度,其中Stewart模型的产量模拟精度最高,相对误差为4.30%,相关系数为0.75。因此,Stewart模型在河套灌区具有更好的适用性,基于遥感蒸散发模型、遥感作物识别模型和作物水分生产函数模型建立灌区作物估产模型可以取得良好的模拟效果。
英文摘要	Crop yield estimation over irrigation district is important for evaluation of water use efficiency and agricultural water management. The development of remote sensing technology provides an effective way to estimate crop yield at regional scale. In this paper, Hetao Irrigation District in Inner Mongolia, a representative irrigation district in arid region, was taken as the study region. Three counties (Linhe, Wuyuan and Hangjinhouqi) in Hetao Irrigation District were selected as the study area, where occupied most farmland in Hetao Irrigation District. Maize was the major crops in the study area. Maize daily evapotranspiration during growing period over Hetao Irrigation District was obtained based on remote sensed evapotranspiration model (HTEM) and remote sensed crop classification model fed with MODIS data from 20032012. The HTEM model was established from hybrid dual-source scheme and trapezoid framework and crop classification model was based on NDVI time series and phenology. These two models had been tested with experimental data and statistical data. On these bases, three water production functions, Jensen function, Blank function and Stewart function, were selected for the establishment of maize yield estimation model. Jensen function is a product model, while Blank function and Stewart function are both summation models. The parameters and applicability of the yield estimation models were also analyzed in this study. Results showed that, the HTEM model was capable of estimating evapotranspiration in this region with relative error of 7.02% and root mean square error (RMSE) of 0.52 mm/day at site scale, respectively. The relative error and RMSE based on water balance model at region scale were 5.28% and 26.21 mm, respectively. The annual change of the maize actual evapotranspiration was in single-peak type, and the peak value occurred on late July with daily evapotranspiration of approximately 5 mm. The growth period of maize was 160-170 days. The annual average evapotranspiration of maize during growth period was approximately 526 mm. The results also showed that three water production functions had good performance in maize yield estimation with high accuracy during 2003-2012. The Stewart function had the highest accuracy, with relative error of 4.30% and correlation coefficient of 0.75. The relative error of Jensen function and Blank function were 4.47% and 4.36%, and the correlation coefficient of Jensen function and Blank function were 0.74 and 0.75, respectively. The average maize yield from 2003-2012 estimated by three water production functions were 10 185.82 kg/hm~2(Jensen function), 10 176.58 kg/hm~2 (Blank function) and 10 176.00 kg/hm~2 (Stewart function), respectively. As a result, the Stewart function had the best performance in Hetao Irrigation District. The three parameters of Stewart function were also fitted with K=1.1, B=2.76 and n=5.0. The spatial distribution of maize yield estimated by Stewart function showed that the northern part of study area have the lowest maize yield and the highest maize yield occurred in southern part of study area. The interannual variation of maize yield indicated that the lowest yield and highest yield during the study period occurred in 2007 and 2003, respectively. Moreover, the study indicated that remote sensing data and remote sensed evapotranspiration model and remote sensed crop classification model were feasible to estimate maize yield over Hetao Irrigation District.
中文关键词	遥感 ; 模型 ; 蒸散发 ; 水分生产函数 ; 产量 ; 河套灌区
英文关键词	remote sensing models evapotranspiration water production function yield Hetao Irrigation District
语种	中文
国家	中国
收录类别	CSCD
WOS类目	AGRICULTURAL ENGINEERING
WOS研究方向	Agriculture
CSCD记录号	CSCD:6550246
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/239355
作者单位	1.天津农学院水利工程学院;;清华大学, ;;水沙科学与水利水电工程国家重点实验室, ;;, 天津;;北京 300384;;100084, 中国; 2.清华大学, 水沙科学与水利水电工程国家重点实验室, 北京 100084, 中国; 3.天津农学院水利工程学院, 天津 300384, 中国
推荐引用方式 GB/T 7714	蒋磊,尚松浩,杨雨亭,等. 基于遥感蒸散发的区域作物估产方法[J],2019,35(14):90-97.
APA	蒋磊,尚松浩,杨雨亭,&王仰仁.(2019).基于遥感蒸散发的区域作物估产方法.农业工程学报,35(14),90-97.
MLA	蒋磊,et al."基于遥感蒸散发的区域作物估产方法".农业工程学报 35.14(2019):90-97.