干旱区生态环境知识资源中心(Arid): Estimation of SO42- ion in saline soil using VIS-NIR spectroscopy under different human activity stress

Arid

DOI	10.1016/j.saa.2022.121647
	Estimation of SO42- ion in saline soil using VIS-NIR spectroscopy under different human activity stress
	Tian, Anhong; Zhao, Junsan; Fu, Chengbiao; Xiong, Heigang
通讯作者	Fu, CB
来源期刊	SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
ISSN	1386-1425
EISSN	1873-3557
出版年	2022
卷号	282
英文摘要	SO42- ion is an important indicator of soil salinization degree, but there are few researches on quantitative inversion of SO42- content based on hyperspectral and fractional-order derivative (FOD). This study aimed to improve the prediction accuracy of SO42- content in arid regions using visible and near-infrared (VIS-NIR) spectroscopy. The study area was divided into three regions according to different human activity stress, namely, lightly affected region (Region A), moderately affected region (Region B) and severely affected region (Region C). The combination estimation method of spectral transformations (R, root R, 1/R, lgR, 1/lgR), FOD, significance test band (STB), and partial least squares regression (PLSR) were been constructed, and four models (FULL-PLSR, FOD-FULL-PLSR, IOD-STB-PLSR, FOD-STB-PLSR) were also used to compare and analyze the estimation accuracy. Simulation results show that the optimal prediction model of three regions is FOD-STB-PLSR, its spectral transformation is established by R, 1/R and root R in Region A, B, and C, respectively. Its RPD is 2.4701, 3.4679 and 1.9781, and its optimal FOD derivative is located at 1.8-, 1.1- and 1.1-order, respectively. It means that FOD can fully extract VIS-NIR spectroscopy details, the higher-order FOD is more capable of extracting characteristic data than low-order FOD, and the predictive ability of the best estimation model is very good, extremely strong and relatively good in Region A, B and C, respectively. Compared with the best IOD-STB-PLSR of each region, the RPD of the optimal FOD-STB-PLSR model has increased more than 38%, 32%, and 19%, respectively. This study shows that the proposed FOD-STB-PLSR model is suitable for estimating the SO42- ion content of saline soil under different human activity stresses, and the study can provide a certain technical reference value for the monitoring of saline soil in arid areas.
英文关键词	Saline soil SO42- ion Different human activity stress Field hyperspectral measurement Fractional-order derivative
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000964429900003
WOS关键词	ORGANIC-MATTER CONTENT ; AGRICULTURAL SOILS ; XINJIANG
WOS类目	Spectroscopy
WOS研究方向	Spectroscopy
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394528
推荐引用方式 GB/T 7714	Tian, Anhong,Zhao, Junsan,Fu, Chengbiao,et al. Estimation of SO42- ion in saline soil using VIS-NIR spectroscopy under different human activity stress[J],2022,282.
APA	Tian, Anhong,Zhao, Junsan,Fu, Chengbiao,&Xiong, Heigang.(2022).Estimation of SO42- ion in saline soil using VIS-NIR spectroscopy under different human activity stress.SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,282.
MLA	Tian, Anhong,et al."Estimation of SO42- ion in saline soil using VIS-NIR spectroscopy under different human activity stress".SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 282(2022).