干旱区生态环境知识资源中心(Arid): Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China

Arid

DOI	10.1007/s12145-018-0358-2
	Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China
	Jiang, Hongnan 1,2; Shu, Hong 1
通讯作者	Jiang, Hongnan ; Shu, Hong
来源期刊	EARTH SCIENCE INFORMATICS
ISSN	1865-0473
EISSN	1865-0481
出版年	2019
卷号	12 期号:1 页码:43-56
英文摘要	This study discusses measures for improving the precision of optical remote-sensing detection of soil salinity and the possibility of soil salinity detection at different depths of 0-10cm, 10-30cm and 30-50cm using optical remote-sensing data, and analyzes the mechanism by which deep-layer soil salinity influences the soil spectrum. The findings show that there is a high and significant correlation between soil-spectral reflectance and soil salinity, and that the correlation between soil-spectral reflectance and soil salinity decreases gradually from the blue band to the shortwave infrared band of ETM + images. The partial least squares regression model is used to estimate soil salinity in the 0-10-cm surface-layer, confirming that the selected soil-salinity-detecting bands of Band 1 and Band 4, the established difference soil salinity index, the derivative of the normalized differential vegetation index, and the deep-layer soil moisture can improve the precision of remote-sensing detection of surface-layer soil salinity. The precise estimation of the 0-10-cm surface-layer soil salinity with variables features an R-2=0.752, an RMSE=26.84g/Kg, and a p=0.000. There is a strong mediating effect between deep-layer soil salinity, 0-10-cm surface-layer soil salinity, and soil spectral reflectance in the study area; namely, deep-layer soil salinity influences soil spectral reflectance by influencing surface-layer soil salinity. There is a significant and very strong power function relation between 0 and 10-cm surface-layer soil salinity and deep-layer soil salinity. Based on this relationship, this study estimates deep-layer soil salinity using optical remote-sensing images.
英文关键词	Soil salinization Deep-layer soil salinity Mediating effects Soil salinity index Remote sensing Vegetation index
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000459386300004
WOS关键词	METHODS PLSR ; GROUNDWATER ; MEDIATION ; IMPACT ; PLAIN
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215080
作者单位	1.Wuhan Univ, Key Lab Informat Engn Surveying Mapping & Remote, 129 LuoYu Rd, Wuhan 430079, Hubei, Peoples R China; 2.Xinjiang Univ, Inst Ecol & Environm Arid Areas, 14 Shengli Rd, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Hongnan,Shu, Hong. Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China[J]. 新疆大学,2019,12(1):43-56.
APA	Jiang, Hongnan,&Shu, Hong.(2019).Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China.EARTH SCIENCE INFORMATICS,12(1),43-56.
MLA	Jiang, Hongnan,et al."Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China".EARTH SCIENCE INFORMATICS 12.1(2019):43-56.