Prediction of Soil Organic Matter Using Visible-Short Near-Infrared Imaging Spectroscopy

Cai-xia JIAO; Guang-hui ZHENG; Xian-li XIE; Xue-feng CUI; Gang SHANG

doi:10.3964/j.issn.1000-0593(2020)10-3277-05

Journals >Spectroscopy and Spectral Analysis >Volume 40 >Issue 10 >Page 3277 > Article

Spectroscopy and Spectral Analysis
Vol. 40, Issue 10, 3277 (2020)

Prediction of Soil Organic Matter Using Visible-Short Near-Infrared Imaging Spectroscopy

Cai-xia JIAO^1、1、*, Guang-hui ZHENG^1、1, Xian-li XIE^1、1, Xue-feng CUI^1、1, and Gang SHANG^1、1

Author Affiliations

¹[in Chinese]

¹1. School of Geographic Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

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DOI: 10.3964/j.issn.1000-0593(2020)10-3277-05 Cite this Article

Cai-xia JIAO, Guang-hui ZHENG, Xian-li XIE, Xue-feng CUI, Gang SHANG. Prediction of Soil Organic Matter Using Visible-Short Near-Infrared Imaging Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3277 Copy Citation Text

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Fig. 1. Location of samples

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Fig. 2. Collection and preprocessing of imaging spectroscopy

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Fig. 3. Scatter plot of SOM and DOA

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Fig. 4. Relative frequency for determination coefficients of calibration and prediction

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	Number	Min/(k·kg^-1)	Max/(k·kg^-1)	Mean/(k·kg^-1)	Std/(k·kg^-1)	CV/%
全部样本	278	1.39	52.56	8.72	7.64	87.65
堤东样本	236	1.39	33.38	7.43	5.99	80.63
堤西样本	42	2.42	52.56	15.92	11.22	70.46

Table 1. Descriptive statistics of SOM content

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	RMSEC/ (k·kg^-1)	$R_{c}^{2}$	RMSEP/ (k·kg^-1)	$R_{p}^{2}$	RPD
Min	4.10	0.28	4.46	0.02	1.02
Max	6.10	0.69	6.65	0.64	1.68
Mean	5.19	0.52	5.38	0.49	1.42

Table 2. Statistics of DOA regression

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	RMSEC/ (k·kg^-1)	$R_{c}^{2}$	RMSEP/ (k·kg^-1)	$R_{p}^{2}$	RPD
Min	2.99	0.28	4.09	0.07	1.04
Max	7.17	0.81	7.58	0.62	1.62
Mean	5.22	0.52	5.75	0.43	1.33

Table 3. Statistics of partial least square regression

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