干旱区生态环境知识资源中心(Arid): Predicting particle-size distribution using thermal infrared spectroscopy from reclaimed mine land in the semi-arid grassland of North China

Arid

DOI	10.1016/j.catena.2019.104190
	Predicting particle-size distribution using thermal infrared spectroscopy from reclaimed mine land in the semi-arid grassland of North China
	Bao, Nisha; Liu, Shanjun; Zhou, Yongchun
通讯作者	Bao, Nisha
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2019
卷号	183
英文摘要	Particle-size distribution is one of the vital properties of semi-arid and reclaimed soils that closely correlates with desertification. The thermal infrared (TIR) spectrum between 8 and 14 mu m has the potential for particle-size monitoring in remote sensing. This study aims to investigate the characteristic TIR spectra of reclaimed mine soils and establish a particle-size prediction model. The characteristics of the reststrahlen band (8-9.5 mu m) could be used to distinguish the coarse soil content that occurs in various land use and reclamation areas. A significant negative correlation was noted between the coarse sand content and the TIR spectrum (8-14 mu m). The support vector machine calibration model exhibited a higher prediction accuracy for estimating the coarse sand content, with a cross-validated R-2 of 0.95 and root mean square error (RMSE) of 3.01%, than the partial least squares regression model. These outcomes provide a theoretical basis and technical support for particle-size distribution estimations using TIR spectroscopy in semi-arid and reclamation areas. Hence, this study proposes that the spectral characteristics and model undergo further testing and optimization before wider application for the observation of semi-arid and reclaimed mine land ecosystems.
英文关键词	Reclamation Thermal infrared spectroscopy Particle-size distribution Large surface mining SVM PLSR
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000488417700021
WOS关键词	SOIL ORGANIC-MATTER ; COAL-MINE ; SPECTRA ; RECLAMATION ; EMISSIVITY ; TEMPERATURE ; SUCCESS ; TIR
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311303
作者单位	Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Bao, Nisha,Liu, Shanjun,Zhou, Yongchun. Predicting particle-size distribution using thermal infrared spectroscopy from reclaimed mine land in the semi-arid grassland of North China[J],2019,183.
APA	Bao, Nisha,Liu, Shanjun,&Zhou, Yongchun.(2019).Predicting particle-size distribution using thermal infrared spectroscopy from reclaimed mine land in the semi-arid grassland of North China.CATENA,183.
MLA	Bao, Nisha,et al."Predicting particle-size distribution using thermal infrared spectroscopy from reclaimed mine land in the semi-arid grassland of North China".CATENA 183(2019).