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Estimation of foliar pigment concentration in floating macrophytes using hyperspectral vegetation indices

机译:利用高光谱植被指数估算漂浮水生植物中叶色素的含量

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摘要

Foliar pigment concentrations of chlorophylls and cartenoids are important indicators of plant physiological status, photosynthesis rate, and net primary productivity. Although the utility of hyperspectral derived vegetation indices for estimating foliar pigment concentration has been documented for many vegetation types, floating macrophytes have not been assessed despite their ecological importance. This study surveyed 39 wetland species (12 floating macrophytes (FM), 8 grasses/sedges/rushes (GSR), and 19 herbs/wildflowers (HWF)) to determine whether foliar pigment concentrations could be estimated from hyperspectral reflectance. Hyperspectral reflectance of samples was recorded using an ASD FieldSpec3 Max portable spectroradiometer with the plant probe attachment or via a typical laboratory set-up. A semi-empirical relationship was established using either a linear, second-degree polynomial or logarithmic function between 13 candidate vegetation indices and chl-a, chl-&, Car, and chl-a + b pigment concentrations. Vegetation indices R-M, CI-Red, and MTCI were strongly correlated with foliar pigment concentrations using a linear fitting function. Chl-a + b and chl-6 concentrations for all samples were reasonably estimated by the R-M index (R~2 = 0.66 and 0.64), although Chl-a and Car concentration estimates using CI-Red were weaker (R~2 = 0.63 and 0.51). Regression results indicate that pooled samples to estimate individual foliar pigments were less correlated than when each type of vegetation type was treated separately. For instance, chl-a + b was best estimated by CI-Red for FM (R~2 = 0.80), MTCI for HWF (R~2 = 0.77), and R-M for GSR (R~2 = 0.67). Although floating macrophytes feature unique adaptions to their aquatic environment, their foliar pigment concentrations and spectral signatures were comparable to other wetland vegetation types. Overall, vegetation indices that exploit the red-edge region were a reasonable compromise, having good explanatory power for estimation of foliar pigments across the sampled wetland vegetation types and with CI-Red the best suited index for floating macrophytes.
机译:叶绿素和类胡萝卜素的叶色素浓度是植物生理状态,光合作用速率和净初级生产力的重要指标。尽管已记录了许多植被类型的高光谱派生植被指数用于估算叶面色素浓度的效用,但尽管漂浮的大型植物具有生态重要性,但尚未进行评估。这项研究调查了39种湿地物种(12种漂浮的大型植物(FM),8种草/莎草/草丛(GSR)和19种草药/野花(HWF)),以确定是否可以通过高光谱反射率估算叶色素的浓度。使用带有植物探针附件的ASD FieldSpec3 Max便携式光谱辐射仪或通过典型的实验室设置来记录样品的高光谱反射率。使用13种候选植被指数与chl-a,chl-&,Car和chl-a + b颜料浓度之间的线性,二次多项式或对数函数建立了半经验关系。植被指数R-M,CI-Red和MTCI使用线性拟合函数与叶色素浓度高度相关。尽管所有样品的Chl-a + b和chl-6浓度均通过RM指数合理估算(R〜2 = 0.66和0.64),但使用CI-Red估算的Chl-a和Car浓度较弱(R〜2 = 0.63)和0.51)。回归结果表明,与单独处理每种类型的植被相比,用于估计单个叶色素的合并样本的相关性较低。例如,chl-a + b最好用CI-Red估计FM(R〜2 = 0.80),MTCI估计HWF(R〜2 = 0.77)和R-M估计GSR(R〜2 = 0.67)。尽管漂浮的大型植物对它们的水生环境具有独特的适应性,但它​​们的叶面色素浓度和光谱特征与其他湿地植被类型相当。总体而言,利用红边地区的植被指数是一个合理的折衷方案,具有很好的解释力,可用于估计抽样湿地植被类型中的叶色素,而CI-Red最适合浮动大型植物。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第22期|8011-8027|共17页
  • 作者

    Cameron Proctor; Yuhong He;

  • 作者单位

    Department of Geography, University of Toronto Mississauga, Mississauga, ON, Canada, L5L 1C6;

    Department of Geography, University of Toronto Mississauga, Mississauga, ON, Canada, L5L 1C6;

  • 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
  • 关键词

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