IMPROVEMENTS OF THE VIS-NIRS MODEL IN THE PREDICTION OF SOIL ORGANIC MATTER CONTENT USING SPECTRAL PRETREATMENTS, SAMPLE SELECTION, AND WAVELENGTH OPTIMIZATION

doi:10.1007/s10812-017-0505-4

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥智能机械研究所

	IMPROVEMENTS OF THE VIS-NIRS MODEL IN THE PREDICTION OF SOIL ORGANIC MATTER CONTENT USING SPECTRAL PRETREATMENTS, SAMPLE SELECTION, AND WAVELENGTH OPTIMIZATION
	Lin, Z. D.1,2,3; Wang, Y. B.1; Wang, R. J.1; Wang, L. S.1; Lu, C. P.1; Zhang, Z. Y.1; Song, L. T.1; Liu, Y.1
刊名	JOURNAL OF APPLIED SPECTROSCOPY
	2017-07-01
卷号	84 期号:3 页码:529-534
关键词	Vis-nir Spectroscopy Organic Matter Content Spectral Pretreatment Sample Selection Wavelength Optimization
DOI	10.1007/s10812-017-0505-4
文献子类	Article
英文摘要	A total of 130 topsoil samples collected from Guoyang County, Anhui Province, China, were used to establish a Vis-NIR model for the prediction of organic matter content (OMC) in lime concretion black soils. Different spectral pretreatments were applied for minimizing the irrelevant and useless information of the spectra and increasing the spectra correlation with the measured values. Subsequently, the Kennard-Stone (KS) method and sample set partitioning based on joint x-y distances (SPXY) were used to select the training set. Successive projection algorithm (SPA) and genetic algorithm (GA) were then applied for wavelength optimization. Finally, the principal component regression (PCR) model was constructed, in which the optimal number of principal components was determined using the leave-one-out cross validation technique. The results show that the combination of the Savitzky-Golay (SG) filter for smoothing and multiplicative scatter correction (MSC) can eliminate the effect of noise and baseline drift; the SPXY method is preferable to KS in the sample selection; both the SPA and the GA can significantly reduce the number of wavelength variables and favorably increase the accuracy, especially GA, which greatly improved the prediction accuracy of soil OMC with R-cc, RMSEP, and RPD up to 0.9316, 0.2142, and 2.3195, respectively.
WOS关键词	INFRARED REFLECTANCE SPECTROSCOPY ; LEAST-SQUARES ; CARBON ; ACCURACY
WOS研究方向	Spectroscopy
语种	英语
WOS记录号	WOS:000407256200028
资助机构	Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069) ; Science and Technology Service Network Initiative of Chinese Academy of Sciences(KFJ-EW-STS-069)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/33604]
专题	合肥物质科学研究院_中科院合肥智能机械研究所
作者单位	1.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China 2.Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China 3.Inst Elect Engn, Hefei 230037, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Lin, Z. D.,Wang, Y. B.,Wang, R. J.,et al. IMPROVEMENTS OF THE VIS-NIRS MODEL IN THE PREDICTION OF SOIL ORGANIC MATTER CONTENT USING SPECTRAL PRETREATMENTS, SAMPLE SELECTION, AND WAVELENGTH OPTIMIZATION[J]. JOURNAL OF APPLIED SPECTROSCOPY,2017,84(3):529-534.
APA	Lin, Z. D..,Wang, Y. B..,Wang, R. J..,Wang, L. S..,Lu, C. P..,...&Liu, Y..(2017).IMPROVEMENTS OF THE VIS-NIRS MODEL IN THE PREDICTION OF SOIL ORGANIC MATTER CONTENT USING SPECTRAL PRETREATMENTS, SAMPLE SELECTION, AND WAVELENGTH OPTIMIZATION.JOURNAL OF APPLIED SPECTROSCOPY,84(3),529-534.
MLA	Lin, Z. D.,et al."IMPROVEMENTS OF THE VIS-NIRS MODEL IN THE PREDICTION OF SOIL ORGANIC MATTER CONTENT USING SPECTRAL PRETREATMENTS, SAMPLE SELECTION, AND WAVELENGTH OPTIMIZATION".JOURNAL OF APPLIED SPECTROSCOPY 84.3(2017):529-534.