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DOI	10.1016/j.rse.2020.112131
	Quantifying leaf optical properties with spectral invariants theory
	Wu S.; Zeng Y.; Hao D.; Liu Q.; Li J.; Chen X.; Asrar G.R.; Yin G.; Wen J.; Yang B.; Zhu P.; Chen M.
发表日期	2021
ISSN	00344257
卷号	253
英文摘要	Leaf optical spectra reflect the combination of leaf biochemical, morphological and physiological properties, and play an important role in many ecological and Earth system processes. Radiative transfer models are widely used to simulate leaf spectra by quantifying photon transfer processes of reflection, transmission and absorption within a plant leaf. Recent advances in spectral invariants theory offer a unique and efficient approach for modeling the canopy-scale radiative transfer processes, but remain underexplored for applications at the leaf scale. In this study, we developed a leaf-scale optical property model based on the spectrally invariant properties (leaf-SIP) of plant leaves. Similar to the canopy-scale model, the leaf-SIP model decouples leaf-scale radiative transfer process into two parts: wavelength-dependent contribution from leaf chemical components and wavelength-independent contribution from leaf structures, described by two spectrally invariant parameters (i.e., a photon recollision probability p and a scattering asymmetry parameter q). We implemented the leaf-SIP model by parameterizing p and q with a measurable leaf morphological trait, the leaf mass per area (LMA). We evaluated the performance of the leaf-SIP model with two in situ datasets (i.e., LOPEX and ANGERS) and the widely used PROSPECT leaf optical model. The results show that the leaf spectra simulated by the leaf-SIP model agreed well with in situ datasets and the simulations of the PROSPECT model, with a small root mean squared error (RMSE), bias, and high coefficients of determination (R2) of 0.026, 0.035, 0.95 and 0.037, 0.049, 0.91 for leaf reflectance and leaf transmittance, respectively. Our results also show that the leaf-SIP model can be used with measured leaf spectra to accurately estimate several key leaf functional traits, such as the leaf chlorophyll content, equivalent water thickness, and LMA. The leaf-SIP model provides an efficient and physical way of accurately simulating leaf spectra and retrieving key leaf functional traits from hyperspectral measurements. © 2020 Elsevier Inc.
英文关键词	Leaf functional traits; Leaf optical properties; Leaf reflectance/transmittance; Photon recollision probability; Spectral invariants theory
语种	英语
scopus关键词	Mean square error; Photons; Plants (botany); Radiative transfer; Two photon processes; Equivalent water thickness; Hyperspectral measurements; Independent contributions; Leaf chlorophyll content; Photon recollision probability; Physiological properties; Radiative transfer process; Transmission and absorption; Optical properties; asymmetry; leaf; numerical model; optical property; quantitative analysis; radiative transfer; spectral analysis; spectral reflectance
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179042
作者单位	Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Gif sur Yvette, UMR8212, France; Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, United States; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, United States; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China; Universities Space Research Association, Columbia, MD 21046, United States; Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China
推荐引用方式 GB/T 7714	Wu S.,Zeng Y.,Hao D.,et al. Quantifying leaf optical properties with spectral invariants theory[J],2021,253.
APA	Wu S..,Zeng Y..,Hao D..,Liu Q..,Li J..,...&Chen M..(2021).Quantifying leaf optical properties with spectral invariants theory.Remote Sensing of Environment,253.
MLA	Wu S.,et al."Quantifying leaf optical properties with spectral invariants theory".Remote Sensing of Environment 253(2021).