Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative
Joint Authors
Zhang, Dong
Tiyip, Tashpolat
Ding, Jianli
Wang, Jingzhe
Liu, Wei
Wang, Fei
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Soil organic matter (SOM) content is an important index to measure the level of soil function and soil quality.
However, conventional studies on estimation of SOM content concerned about the classic integer derivative of spectral data, while the fractional derivative information was ignored.
In this research, a total of 103 soil samples were collected in the Ebinur Lake basin, Xinjiang Uighur Autonomous Region, China.
After measuring the Vis-NIR (visible and near-infrared) spectroscopy and SOM content indoor, the raw reflectance and absorbance were treated by fractional derivative from 0 to 2nd order (order interval 0.2).
Partial least squares regression (PLSR) was applied for model calibration, and five commonly used precision indices were used to assess the performance of these 22 models.
The results showed that with the rise of order, these parameters showed the increasing or decreasing trends with vibration and reached the optimal values at the fractional order.
A most robust model was calibrated based on 1.8 order derivative of R, with the lowest RMSEC (3.35 g kg−1) and RMSEP (2.70 g kg−1) and highest Rc2 (0.92), Rp2 (0.91), and RPD (3.42 > 3.0).
This model had excellent predictive performance of estimating SOM content in the study area.
American Psychological Association (APA)
Wang, Jingzhe& Tiyip, Tashpolat& Ding, Jianli& Zhang, Dong& Liu, Wei& Wang, Fei. 2017. Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative. Journal of Spectroscopy،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1187769
Modern Language Association (MLA)
Wang, Jingzhe…[et al.]. Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative. Journal of Spectroscopy No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1187769
American Medical Association (AMA)
Wang, Jingzhe& Tiyip, Tashpolat& Ding, Jianli& Zhang, Dong& Liu, Wei& Wang, Fei. Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative. Journal of Spectroscopy. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1187769
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187769