A Synthesis on the Vegetation Spectral Invariant Theory

Remote Sensing Technology and Application, Volume. 40, Issue 4, 802(2025)

Hongliang FANG^1,2,3、*

¹LREIS， Institute of Geographic Sciences and Natural Resources Research， Chinese Academy of Sciences， Beijing100101， China

²College of Resources and Environment， University of Chinese Academy of Sciences， Beijing100049， China

³Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application， Nanjing210023， China

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Figures & Tables(3)

Fig. 1. Photon transportation in a black-soil canopy

Fig. 2. Different decomposition methods of incident light in the vegetation canopy

序号	表达式	描述	参考文献
（a) 基本形式
	$σ_{F C} = \frac{ω_{C}}{ω_{L}} = \frac{ρ}{1 - p ω_{L}} = \frac{ρ_{S I F}}{1 - p_{S I F} ω_{L}}$	通过冠层和叶片的散射系数比来计算σ_FC	Fang^[19]
（b) 基于BRF的估算
	$σ_{F C} = \frac{B R F}{i_{0} ω_{L}}$	通过近红外BRF与i₀和ω_L的比值来估算近红外SIF的σ_FC	Yang和van der Tol^[49]， Zhang等^[46], Yang等^[50]
	$σ_{F C} = \frac{B R F}{i ω_{L}} = \frac{π \cdot S I F_{t o c}}{S I F_{t o t}}$	通过BRF与i和ω_L之比来估算σ_FC	Lu等^[51]
（c) 通过NIR_v和Red_v的估算
	$f_{N I R}^{e s c} = σ_{F C} \approx \frac{N I R_{V}}{F A P A R}$	通过NIR_v与FAPAR之比来估算σ_FC	Zeng等^[52], Liu等^[53], Hao等^[54]
	$σ_{F C} \approx \frac{R e d_{v}}{F A P A R}$	通过红光BRF与NDVI²的乘积和FAPAR之比估算红光σ_FC	Liu等^[53], Hao等^[54]
	$σ_{F C} = \frac{N I R_{V}}{i_{0} ω_{L}}$	通过NIR_v与i₀和ω_L之比来估算σ_FC	Zhang等^[55], Zhang等^[48]
	$f_{N I R}^{e s c} = σ_{F C} = \frac{N I R_{V}}{F A P A R} \cdot f (r_{S}, V I)$	通过引入一个校正因子f考虑背景对σ_FC的影响	Qi等^[56]