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首页> 外文期刊>International journal of remote sensing >Revised photochemical reflectance index (PRI) for predicting light use efficiency of wheat in a growth cycle: validation and comparison
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Revised photochemical reflectance index (PRI) for predicting light use efficiency of wheat in a growth cycle: validation and comparison

机译:修订后的光化学反射指数(PRI),用于预测小麦在一个生长周期中的光利用效率:验证和比较

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摘要

The photochemical reflectance index (PRI) was developed to trace the changes in light use efficiency (LUE) as the two contributing reflectances at 531 nm and 570 nm are closely related to the xanthophyll pigment cycle. In this paper, two revised indices of PRI (PRI_(R1) and PRI_(R2)) are derived for a better prediction of LUE during the growth cycle of wheat. The signal of chlorophyll content (reflectance at 550 nm) to PRI is incorporated so that the revised indices can be used to estimate LUE values at low chlorophyll concentration. A validation was conducted using ground data (reflectance and LUE data) during a growth cycle of wheat in 2007 (17 April, 28 April, 16, 29 May). The results demonstrate that PRI cannot be used as an index for LUE estimation during the growth cycle of wheat as the relationship between PRI and LUE significantly weakened (R~2 = 0.20) on 29 May when the leaves lost chlorophyll concentration in the senescent period. PRI_(R1) and PRI_(R2) are more robust than PRI for LUE estimationm, not only with a relatively stable precision (R~2 = 0.62, 0.76, 0.62, 0.57 for PRI_(R1) and R~2 = 0.62, 0.76, 0.63, 0.59 for PRIr2) but also with better linearity with LUE (standard error of regression equation between LUE and index is 0.00187, 0.00127, 0.00116, 0.00103 for PRIri and 0.00186, 0.00117, 0.00114, 0.00102 for PRI_(R2)). The result of the comparison analysis indicates that the revised indices (PRI_(R1) and PRI_(R2)) are more sensitive than PRI to low chlorophyll content and low leaf area index, which means they are more appropriate for LUE interpretation in these situations. Sensitivity of Sun-sensor geometry to all indices implies that all indices exhibit large variations with changes in solar zenith angle and view zenith angle. As solar zenith angle increases, all indices display different sensitivity patterns before and after hotspot positions. All indices vary greatly as the view zenith angle increases. An acceptable precision of all indices can be acquired within a departure of 10° from the nadir view.
机译:开发光化学反射指数(PRI)来跟踪光利用效率(LUE)的变化,因为在531 nm和570 nm处的两个贡献反射率与叶黄素色素循环密切相关。为了更好地预测小麦生长周期的LUE,本文推导了两个PRI修正指数(PRI_(R1)和PRI_(R2))。叶绿素含量(在550 nm处的反射率)对PRI的信号被并入,因此修订后的指数可用于估计低叶绿素浓度下的LUE值。使用2007年小麦生长周期(4月17日,4月28日,5月16日,29日)的地面数据(反射率和LUE数据)进行了验证。结果表明,PRI不能作为小麦生长周期中LUE估算的指标,因为5月29日当叶片在衰老期失去叶绿素浓度时,PRI和LUE之间的关系显着减弱(R〜2 = 0.20)。对于LUE估计,PRI_(R1)和PRI_(R2)比PRI更健壮,不仅精度相对稳定(PRI_(R1)的R〜2 = 0.62,0.76,0.62,0.57和R〜2 = 0.62,0.76 ,对于PRIr2为0.63、0.59),而且与LUE相比具有更好的线性度(对于PRIri,LUE和索引之间的回归方程的标准误差为0.00187、0.00127、0.00116、0.00103,对于PRI_(R2)为0.00186、0.00117、0.00114、0.00102)。比较分析的结果表明,修订后的指数(PRI_(R1)和PRI_(R2))比PRI对低叶绿素含量和低叶面积指数更敏感,这意味着它们在这些情况下更适用于LUE解释。太阳传感器几何形状对所有指标的敏感性意味着,所有指标均会随太阳天顶角和视角天顶角的变化而显示出较大的变化。随着太阳天顶角的增加,所有指标在热点位置之前和之后显示不同的灵敏度模式。所有的索引会随着视图天顶角的增加而发生很大变化。在距最低点10°的范围内可以获取所有指标的可接受精度。

著录项

  • 来源
    《International journal of remote sensing》 |2010年第12期|P.2911-2924|共14页
  • 作者单位

    The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of Chinese Academy of Science, Beijing, 100039, China;

    rnThe State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;

    rnThe State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of Chinese Academy of Science, Beijing, 100039, China;

    rnThe State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China National Engineering Research Center for Information Technology in Agriculture, Beijing, 100089, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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