Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves
Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves
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DOI：
10.1080/014311698215919
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发表时间：
1998-03-10
影响因子：
3.4
通讯作者：
Blackburn, GA
中科院分区：
文献类型：
--
作者：
Blackburn, GA
从反射光谱估计植被中个体光合色素浓度的可能性为利用遥感评估生理状态、物种类型和生产力提供了巨大的希望。这项研究使用了落叶树衰老不同阶段的样本，评估了一些光谱指数来估计叶尺度上的色素浓度。提出了两个新的指标(PSSR和PSND)，它们比以往的技术具有更大的优势。色素估算的最佳波段为：叶绿素a为680 nm，叶绿素b为635 nm，类胡萝卜素为470 nm。这些波段在理论上是合理的，并被证明改善了许多被测试的光谱指数的性能。对叶绿素a和b有很强的预测模型，但对类胡萝卜素没有，本文探讨了其原因。
The possibility of estimating the concentration of individual photosynthetic pigments within vegetation from reflectance spectra offers great promise for the use of remote sensing to assess physiological status, species type and productivity. This study evaluates a number of spectral indices for estimating pigment concentrations at the leaf scale, using samples from deciduous trees at various stages of senescence. Two new indices (PSSR and PSND) are developed which have advantages over previous techniques. The optimal individual wavebands for pigment estimation are identified empirically as 680 nm for chlorophyll a, 635 nm for chlorophyll b and 470 nm for the carotenoids. These wavebands are justified theoretically and are shown to improve the performance of many of the spectral indices tested. Strong predictive models are demonstrated for chlorophyll a and b, but not for the carotenoids and the paper explores the reasons for this.