Study on the Relationship Between Element As in Soil of Agricultural Land and Leaf Spectral Characteristics

Fig. 3. Spectral curves of the first-order derivative treatment of the polluted and background areas
(a): First-order derivative spectral curve;(b): Reflectance spectral trilateral parameter

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Fig. 4. Correlation between heavy metals in soil and spectral reflectance

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Table 1. Statistics of heavy metal content in soil
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Table 1. Statistics of heavy metal content in soil
重金属 Cr/(mg·kg^-1) Cu/(mg·kg^-1) As/(mg·kg^-1) Cd/(mg·kg^-1) Pb/(mg·kg^-1) Hg/(mg·kg^-1)
背景值 56.47 18.50 8.14 0.12 13.78 0.04
污染区 74.85 29.44 34.36 0.28 94.45 0.06
背景区 54.98 18.04 8.03 0.11 10.16 0.03

Table 2. Vegetation index

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Table 2. Vegetation index

	植被指数	计算公式
对色素敏感的植被指数	Normalized Difference Vegetation Index(NDVI)	NDVI=(R₆₈₂-R₅₅₃)/(R₆₈₂+R₅₅₃)
	Modified Chlorophyll Absorption in Reflectance Index(MCARI)	MCARI=((R₇₀₀-R₆₇₀)-0.2×(R₇₀₀-R₅₅₀))×(R₇₀₀/R₆₇₀)
	the MERIS terrestrial chlorophyll index(MTCI)	MTCI=(R₇₅₄-R₇₀₉)/(R₇₀₉-R₆₈₁)
对水敏感的植被指数	Water Index(WI)	WI=R₉₀₀/R₉₇₀
对水敏感的植被指数	Plant Water Index(PWI)	PWI=(R₉₀₀/R₉₇₀)/(R₈₆₀-R₁₂₄₀)/(R₈₆₀+R₁₂₄₀)
对光利用率敏感的植被指数	Photochemical Reflectance Index(PRI)	PRI1=(R₅₅₀-R₅₃₁)/(R₅₅₀+R₅₃₁)
		PRI2=R₇₅₀/R₈₀₀
		PRI3=R₆₈₅/R₆₅₅

Table 3. Correlation between As in soil and vegetation index
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Table 3. Correlation between As in soil and vegetation index
植被指数皮尔逊相关性显著性检验
NDVI 0.841 0.074
MTARI -0.825 0.085
MTCI -0.14 0.983
WI -0.347 0.567
PWI 0.312 0.609
PRI1 -0.901^* 0.037
PRI2 0.371 0.539
PRI3 0.966^** 0.008

Table 4. Prediction model of element As in soil

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Table 4. Prediction model of element As in soil

植被指数	回归类型	模型	R²	RMSE
PRI1	线性	y=-992.207x+47.833	0.812^*	5.464
	二次多项式	y=-4 270.559x+ 55 787.088x²+90.777	0.897^*	1.121
	对数	y=-28.334ln(x)-83.334	0.899^*	3.997
	指数	y=e^-49.638^x^+4.196	0.785^*	0.298
PRI3	线性	y=855.609x-807.212	0.933^**	3.264
	二次多项式	y=442.585x²-393.763	0.935^**	3.220
	对数	y=826.941ln(x)+47.980	0.931^**	3.308
	指数	y=e^43.644^x^-39.386	0.937^**	0.161

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Wei LIU, Qiang YU, Teng NIU, Lin-zhe YANG, Hong-jun LIU, Fei YAN. Study on the Relationship Between Element As in Soil of Agricultural Land and Leaf Spectral Characteristics[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2866

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