Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation

Maiming Yumiti; Xue-mei WANG

doi:10.3964/j.issn.1000-0593(2022)04-1278-07

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 4 >Page 1278 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 4, 1278 (2022)

Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation

Maiming Yumiti^* and Xue-mei WANG^{1; 2; *;}

Author Affiliations

1. College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830054, China

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DOI: 10.3964/j.issn.1000-0593(2022)04-1278-07 Cite this Article

Maiming Yumiti, Xue-mei WANG. Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1278 Copy Citation Text

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Fig. 1. Distribution of sampling points

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Fig. 2. Spectral curves of organic matter content in different grades

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Fig. 3. Correlation analysis of soil organic matter content with reflectance spectra and spectral transformations

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Fig. 4. The correlation between soil organic matter content and wavelet coefficients

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Fig. 5. Comparison of measured and estimated values of soil organic matter content using CWT

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样品类型	样品数 /个	有机质含量/(g·kg^-1)				变异系数/%
样品类型	样品数 /个	最大值	最小值	平均值	标准差	变异系数/%
总体样品	98	17.582	1.150	8.574	3.589	41.86

Table 1. Basic statistical characteristics of soil samples

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光谱变换	特征波段数量	对应波段范围/nm	显著性水平 (p值)
R	1 135	529933, 2 3512 382	<0.01
lg(1/R)	1 137	526934, 2 3492 378	<0.01
R'	318	431538, 800889, 1 4511 660, 1 9742 035	<0.01
[lg(1/R)]'	293	431538, 795881, 1 7312 042	<0.01

Table 2. The characteristic bands selected by different transformations

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模型	建模集		验证集		RPD
模型	R²	RMSE	R²	RMSE	RPD
R-PLSR	0.59	2.29	0.46	2.96	1.55
R-SVMR	0.61	2.90	0.32	2.92	1.23
lg(1/R)-PSLR	0.58	2.31	0.46	2.64	1.54
lg(1/R)-SVMR	0.63	2.23	0.31	2.99	1.60
R'-PSLR	0.61	2.24	0.46	2.64	1.59
R'-SVMR	0.69	2.05	0.48	2.59	1.74
[lg(1/R)]'-PLSR	0.61	2.23	0.46	2.62	1.60
[lg(1/R)]'-SVMR	0.72	1.93	0.53	2.44	1.85
R-CWT-2¹-PLSR	0.68	2.02	0.46	2.63	1.77
R-CWT-2¹-SVMR	0.79	1.68	0.52	2.48	1.92
R-CWT-2²-PLSR	0.61	2.23	0.48	2.64	1.72
R-CWT-2²-SVMR	0.82	1.56	0.56	2.38	1.98
R-CWT-2³-PLSR	0.63	2.18	0.46	2.62	1.73
R-CWT-2³-SVMR	0.84	1.49	0.53	2.38	2.11
R-CWT-2⁴-PLSR	0.65	2.11	0.52	2.57	1.86
R-CWT-2⁴-SVMR	0.87	1.37	0.50	2.44	1.91
R-CWT-2⁵-PLSR	0.65	2.11	0.55	2.40	1.89
R-CWT-2⁵-SVMR	0.85	1.44	0.47	2.53	1.99
R-CWT-2⁶-PLSR	0.65	2.12	0.56	2.39	1.88
R-CWT-2⁶-SVMR	0.85	1.45	0.50	2.53	1.86
R-CWT-2⁷-PLSR	0.60	2.25	0.51	2.50	1.58
R-CWT-2⁷-SWMR	0.80	1.64	0.41	2.74	1.97

Table 3. Inversion results of modeling set and validation set for soil organic matter content

Maiming Yumiti, Xue-mei WANG. Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1278

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