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

Wei LIU; Qiang YU; Teng NIU; Lin-zhe YANG; Hong-jun LIU; Fei YAN

doi:10.3964/j.issn.1000-0593(2021)09-2866-06

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 9 >Page 2866 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 9, 2866 (2021)

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

Wei LIU, Qiang YU^*;, Teng NIU, Lin-zhe YANG, Hong-jun LIU, and Fei YAN

Author Affiliations

College of Forestry, Beijing Forestry University, Beijing 100083, China

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DOI: 10.3964/j.issn.1000-0593(2021)09-2866-06 Cite this Article

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 Copy Citation Text

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Fig. 1. Range of the study area

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Fig. 2. Original curves of and differences between the spectra of polluted (a) and background areas (b)

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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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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 1. Statistics of heavy metal content in soil

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	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 2. Vegetation index

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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 3. Correlation between As in soil and vegetation index

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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

Table 4. Prediction model of element As in soil

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