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首页> 外文期刊>International journal of remote sensing >Yield estimation of winter wheat in the North China Plain using the remote-sensing-photosynthesis-yield estimation for crops (RS-P-YEC) model
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Yield estimation of winter wheat in the North China Plain using the remote-sensing-photosynthesis-yield estimation for crops (RS-P-YEC) model

机译：利用农作物遥感光合作用-产量估算模型估算华北平原冬小麦的产量

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摘要

The accurate prediction of crop yield is of great help for grain policy making. By assuming a horizontally homogeneous, vertically laminar structure and introducing a multilayer-two-big-leaf model, we develop a radiative-transfer equation for winter-wheat canopy and a model, named the remote-sensing-photosynthe-sis-yield estimation for crops (RS-P-YEC) model, for winter-wheat yield estimation. The yield is calculated by multiplying the net primary productivity (NPP) by the harvest index (HI). In this study, the yield of winter wheat in the North China Plain in 2006 is estimated using the RS-P-YEC model. The simulated yield is consistent with observations from 17 agro-meteorological stations, and the mean relative error is 4.6%. The results demonstrate that the RS-P-YEC model is a useful tool for winter-wheat yield estimation in the North China Plain with widely available remotely sensed imageries.
机译：准确预测农作物产量对粮食政策制定有很大帮助。通过假设水平均质，垂直层状结构并引入多层两大叶模型，我们开发了冬小麦冠层的辐射传递方程和一个名为遥感光合作用产量估算的模型。作物（RS-P-YEC）模型，用于估算冬小麦产量。通过将净初级生产力（NPP）乘以收获指数（HI）来计算产量。在这项研究中，使用RS-P-YEC模型估算了2006年华北平原冬小麦的产量。模拟的产量与17个农业气象站的观测结果一致，平均相对误差为4.6％。结果表明，RS-P-YEC模型是华北平原冬小麦产量估算的有用工具，具有广泛可用的遥感影像。

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  • 来源
    《International journal of remote sensing》 |2011年第21期|p.6335-6348|共14页
  • 作者

    PEIJUAN WANG; RUI SUN; JIAHUA ZHANG; YUYU ZHOU; DONGHUI XIE; QIJIANG ZHU;

  • 作者单位

    Chinese Academy of Meteorological Sciences, Beijing 100081, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing NormalUniversity and Institute of Remote sensing Applications of Chinese Academy of Sciences,Beijing 100875, China;

    Chinese Academy of Meteorological Sciences, Beijing 100081, China;

    Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette 47907, USA;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing NormalUniversity and Institute of Remote sensing Applications of Chinese Academy of Sciences,Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing NormalUniversity and Institute of Remote sensing Applications of Chinese Academy of Sciences,Beijing 100875, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
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  • 正文语种 eng
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