气候变化领域集成服务门户(CCPortal): Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone

CCPortal

DOI	10.1016/j.rse.2020.112176
	Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone
	Spafford L.; le Maire G.; MacDougall A.; de Boissieu F.; Féret J.-B.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Leaf biochemical and structural traits are vegetation characteristics related to various physiological processes. Taking advantage of the physical relationship between optical properties and leaf biochemistry, field-based spectroscopy has allowed for the rapid estimation of leaf biochemical constituents and repeated non-destructive measurements through time. Leaf constituent retrieval from leaf optical properties following inversion of the physically-based radiative transfer model PROSPECT is now a popular method, but some cases prompt poor retrieval success and this approach requires a strict inversion procedure. We investigated the performances of different inversion procedures for the estimation of leaf constituents, specifically chlorophyll a and b, carotenoids, water (EWT), and dry matter (LMA) from >1400 broadleaf samples, including the definition of optimal spectral subdomains, and the use of leaf reflectance or transmittance alone. We also developed a strategy to obtain prior information on the leaf structure parameter (N) in PROSPECT, when only reflectance or transmittance is measured, and examined the influence of this prior information in combination with different inversion procedures. We found that using the full domain of reflectance or transmittance only systematically leads to suboptimal estimation of chlorophyll a and b, carotenoids, EWT, and LMA, due to either the combined absorption of multiple constituents or inaccurate estimation of the N parameter. Our study confirms that the selection of optimal spectral subdomains leads to improved estimation of all leaf constituents, from 700 to 720 nm for chlorophyll a and b, 520–560 nm for carotenoids, and from 1700 to 2400 nm for EWT and LMA. Prior information on N, computed directly from the spectra, leads to systematic improved estimation of leaf constituents when only reflectance or transmittance is measured, with reductions in normalized root mean square error from 8 to 37%. We strongly recommend using optimal subdomains when inverting PROSPECT to retrieve leaf constituents, and with the availability of only reflectance or transmittance we further recommend the use of prior information on the N parameter. © 2020 Elsevier Inc.
英文关键词	Biochemical constituents; Carotenoids; Chlorophylls; EWT; Leaf directional-hemispherical optical properties; Leaf spectroscopy; Leaf structure; LMA; PROSPECT; Radiative transfer model
语种	英语
scopus关键词	Chlorophyll; Mean square error; Optical properties; Pigments; Radiative transfer; Biochemical constituents; Inversion procedure; Leaf optical property; Non-destructive measurement; Physiological process; Radiative transfer model; Root mean square errors; Suboptimal estimations; Reflection; dry matter; estimation method; leaf; radiative transfer; spectral analysis; spectral reflectance; transmittance
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/179056
作者单位	Environmental Sciences, Memorial University, St. John's, Canada; CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier SupAgro, Montpellier, France; Climate and Environment, Saint Francis Xavier University, Antigonish, Canada; TETIS, INRAE, AgroParisTech, CIRAD, CNRS, Univ Montpellier, Montpellier, France
推荐引用方式 GB/T 7714	Spafford L.,le Maire G.,MacDougall A.,et al. Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone[J],2021,252.
APA	Spafford L.,le Maire G.,MacDougall A.,de Boissieu F.,&Féret J.-B..(2021).Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone.Remote Sensing of Environment,252.
MLA	Spafford L.,et al."Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone".Remote Sensing of Environment 252(2021).