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DOI10.1080/22797254.2023.2292154
Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra
发表日期2024
EISSN2279-7254
起始页码57
结束页码1
卷号57期号:1
英文摘要Leaf traits can be used to elucidate vegetation functional responses to global climate change. Pigments, water and leaf mass per area are the most used traits. However, detailed anatomical traits such as leaf thickness, the thickness of palisade and spongy parenchyma are often neglected, although they affect leaf physiological function and optical properties. Our aim was to produce partial least squares regression (PLSR) models for estimating leaf traits using biconical reflectance factor (BCRF). We established that estimation of leaf anatomical properties differs when using BCRF obtained from the upper and lower surface of the leaf. PLSR explained that 90% of the variability was based on total chlorophyll content (R2 = 0.95), spongy parenchyma to leaf thickness ratio (R2 = 0.94), equivalent water thickness (R2 = 0.93) and leaf mass per area (R2 = 0.91) or leaf thickness (R2 = 0.90). We conclude that internal asymmetry in leaf structure affects significantly leaf optical properties and should not be neglected in radiative transfer modelling at the leaf level and when upscaling leaf properties to the canopy.
英文关键词Planar leaves; leaf thickness; palisade; spongy parenchyma; contact probe; two-sided reflectance; leaf optical properties; leaf traits; vegetation function
语种英语
WOS研究方向Remote Sensing
WOS类目Remote Sensing
WOS记录号WOS:001126901300001
来源期刊EUROPEAN JOURNAL OF REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/294530
作者单位Charles University Prague; Charles University Prague; Czech Academy of Sciences; Global Change Research Centre of the Czech Academy of Sciences; University System of Maryland; University of Maryland Baltimore County; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; Charles University Prague
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. Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra[J],2024,57(1).
APA (2024).Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra.EUROPEAN JOURNAL OF REMOTE SENSING,57(1).
MLA "Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra".EUROPEAN JOURNAL OF REMOTE SENSING 57.1(2024).
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