Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics

Yi-heng WANG; Kun SUN; Zhe WEN; Ying-bo SUO; Qu ZHANG; Ge-rong WANG; Jin-hua WEI

doi:10.3964/j.issn.1000-0593(2022)02-0537-07

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 2 >Page 537 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 2, 537 (2022)

Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics

Yi-heng WANG^1、*, Kun SUN^1、1;, Zhe WEN^1、1;, Ying-bo SUO^2、2;, Qu ZHANG^1、1;, Ge-rong WANG^1、1;, and Jin-hua WEI^{1、1; *;}

Author Affiliations

¹1. Forestry College of Beihua University, Jilin 132013, China

²2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

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DOI: 10.3964/j.issn.1000-0593(2022)02-0537-07 Cite this Article

Yi-heng WANG, Kun SUN, Zhe WEN, Ying-bo SUO, Qu ZHANG, Ge-rong WANG, Jin-hua WEI. Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 537 Copy Citation Text

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Fig. 1. Original (a) and first-order differential (b) spectral curves of conifer species

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Correlation analysis between raw spectra reflectance and pigment content (a) and first order spectral reflectance (b) and pigment content of tree species

Fig. 2. Correlation analysis between raw spectra reflectance and pigment content (a) and first order spectral reflectance (b) and pigment content of tree species

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Fig. 3. Scatter plot of measured and predicted pigment contents

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Fig. 4. Standard residual histograms and normalized residual p-p plots

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色素	数据集	样本数/个	平均值	最大值	最小值	标准差	变异系数
花青素(吸光度值)	建模	144	0.170	0.273	0.117	0.029	0.172
花青素(吸光度值)	验证	36	0.164	0.222	0.113	0.028	0.174
类胡萝卜素(吸光度值)	建模	144	1.267	2.386	0.534	0.494	0.390
类胡萝卜素(吸光度值)	验证	36	1.745	2.946	0.860	0.662	0.380
叶绿素/(mg·L^-1)	建模	144	15.661	31.277	0.998	6.739	0.430
叶绿素/(mg·L^-1)	验证	36	17.738	24.584	13.176	3.614	0.204
叶绿素a/(mg·L^-1)	建模	144	11.803	22.538	4.778	4.624	0.392
叶绿素a/(mg·L^-1)	验证	36	17.539	27.412	10.194	4.531	0.258
叶绿素b/(mg·L^-1)	建模	144	4.262	8.775	1.405	1.968	0.462
叶绿素b/(mg·L^-1)	验证	36	5.823	10.435	3.056	1.986	0.341

Table 1. Statistical description of pigment content in conifer species

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色彩参数	花青素	类胡萝卜素	叶绿素	叶绿素a	叶绿素b
L	-0.620^**	-0.775^**	-0.752^**	-0.797^**	-0.830^**
a^*	-0.461^*	-0.662^**	-0.644^**	-0.702^**	-0.734^**
b^*	0.329	0.525^*	0.513^*	0.569	0.588
c	-0.375	-0.575^**	-0.561^*	-0.618	-0.641
S	-0.366	-0.575^**	-0.561^*	-0.619^**	-0.644^**

Table 2. Correlation analysis between pigment content and color parameters of conifer species

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光谱类型	花青素		类胡萝卜素		叶绿素		叶绿素a		叶绿素b
光谱类型	波段	相关系数	波段	相关系数	波段	相关系数	波段	相关系数	波段	相关系数
原始光谱	487	0.075	676	0.001	676	0.041	676	-0.005	676	0.003
	715	-0.307^*	715	-0.533^**	715	-0.456^**	712	-0.551^**	715	-0.537^**
一阶光谱	652	0.439^**	652	0.641^**	652	0.586^**	652	0.647^**	652	0.655^**
	513	-0.519^**	700	-0.714^**	700	-0.612^**	700	-0.713^**	700	-0.722^**

Table 3. Correlation coefficient between pigment content and spectral reflectance of tree species

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光谱参数	花青素	类胡萝卜素	叶绿素	叶绿素a	叶绿素b
绿峰幅值Rg	-0.286^*	-0.418^**	-0.356^**	-0.429^**	-0.420^**
红谷幅值Rr	0.041	-0.004	0.034	-0.011	-0.002
蓝边幅值Db	-0.306^*	-0.349^**	-0.285^*	-0.349^**	-0.337^**
黄边幅值Dy	-0.066	-0.016	-0.034	-0.032	-0.006
红边幅值Dr	-0.347^**	-0.598^**	-0.525^**	-0.616^**	-0.602^**
蓝边面积SDb	-0.519^**	-0.629^**	-0.544^**	-0.627^**	-0.626^**
黄边面积SDy	0.459^**	0.621^**	0.554^**	0.631^**	0.624^**
红边面积SDr	-0.087	-0.133	-0.115	-0.141	-0.140
比值植被指数RVI	-0.608^**	-0.642^**	-0.623^**	-0.677^**	-0.632^**
差值植被指数DVI	-0.575^**	-0.761^**	-0.710^**	-0.777^**	-0.694^**
归一化植被指数NDVI	0.595^**	0.713^**	0.697^**	0.770^**	0.704^**

Table 4. Correlation analysis between pigment content and spectral characteristic parameters of tree species

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色素类型	相关系数r	决定系数R²	调整 R²	标准估计误差	Durbin-Watson
花青素	0.767	0.588	0.540	0.019	1.787
类胡萝卜素	0.824	0.679	0.593	0.337	1.893
叶绿素	0.799	0.638	0.542	0.194	2.090
叶绿素a	0.825	0.681	0.622	0.245	1.867
叶绿素b	0.863	0.745	0.698	1.089	2.112

Table 5. Pigment content and color parameter model fitting evaluation indexes of conifer species

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色素类型	相关系数r	决定系数R²	调整 R²	标准估计误差	Durbin-Watson
花青素	0.694	0.482	0.432	0.022	2.114
类胡萝卜素	0.882	0.779	0.749	0.247	1.876
叶绿素	0.785	0.616	0.565	0.205	2.097
叶绿素a	0.887	0.786	0.758	0.177	1.838
叶绿素b	0.880	0.774	0.744	0.196	1.893

Table 6. Pigment content and spectral value modem of conifer species

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色素类型	模型	建模		验证
色素类型	模型	R²	RMSE	R²	RMSE
花青素	y=1.535-0.023L+0.109a^*	0.588	0.019	0.590	0.024
类胡萝卜素	y=2.618-60.118FD₆₅₂-36.335FD₇₀₀+6.329SDb+8.615SDy+0.171RVI-1.946DVI-0.424NDVI	0.779	0.224	0.770	0.345
叶绿素	y=292.089-5.673L+48.308a^-19.202b^-0.185S	0.638	0.201	0.636	0.215
叶绿素a	y=19.369-1760.51FD₆₅₂-266.4FD₇₀₀+96.842SDb+165.019SDy+3.78RVI-3.82DVI+16.352NDVI	0.786	0.187	0.777	0.214
叶绿素b	y=16.161+2406.3FD₆₅₂-337.164FD₇₀₀-26.171SDb-165.976SDy-2.781RVI-23.02DVI-27.467NDVI	0.774	0.179	0.764	0.184

Table 7. Optimal fitting model and accuracy verification

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