干旱区生态环境知识资源中心(Arid): Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region

Arid

DOI	10.1016/j.jag.2019.101944
	Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region
	Masoud, Alaa A.1; Koike, Katsuaki 2; Atwia, Mohamed G.1; El-Horiny, Mohamed M.1; Gemail, Khaled S.3
通讯作者	Masoud, Alaa A.
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	1569-8432
EISSN	1872-826X
出版年	2019
卷号	83
英文摘要	Soil salinization is one of the most serious environmental issues degrading land resources globally, particularly in arid and semi-arid regions. Therefore, regional and precise monitoring of soil salinity is required to prevent and mitigate salinization. This study aimed to specify an effective monitoring method with remote sensing techniques using the Dakhla Oasis, central Western Desert of Egypt as a case study area. For ground-truthing, electrical conductivity, pH, reflectance spectra, and mineral compositions were measured for top soil samples from 31 points. Spectral data from a Landsat8 OLI image of one scene acquired close to the ground sampling time was used to estimate soil salinity using a variety of methods, including single band, band ratio and combination, spectral index, linear spectral unmixing (LSU), and mixture tuned matched filtering (MTMF). After estimating the salinity over the study area through the best regression model between the spectral data and measured salinity data, the image was classified into five salinity classes. The classified salinized zones were verified by the resistivity and thickness of the near-surface layers and depth to the groundwater table, using vertical electrical sounding (VES) at 46 profiles. The most salinized zones in the southern area were congruent with the lowest VES resistivity. The surface layer thickness and day content were specified as the main cause of the salinity difference between the southern and northern areas. The land surface temperature (LST) retrieved from the thermal band data of the OLI image and another Landsat ETM + image in 2001 was identified as increasing salinization. Finally, urban and vegetation land covers along with the five soil salinity classes were characterized by the influencing factors of elevation, slope, LST, soil pH, top layer resistivity and thickness, and depth to the groundwater table. LSU proved to predict salinity more accurately with 76% correctness than the MTMF model (67%) and the band combination and spectral indices (55% at most). The proposed methods will be useful for soil salinity mapping from satellite imagery in similar environments to this study.
英文关键词	Soil salinization Spectrometry Spectral index Spectral unmixing Vertical electrical sounding
类型	Article
语种	英语
国家	Egypt ; Japan
收录类别	SCI-E
WOS记录号	WOS:000487574200024
WOS关键词	SALT-AFFECTED SOILS ; AL HASSA OASIS ; REFLECTANCE SPECTROSCOPY ; DAKHLA OASIS ; DEGRADATION ; GROUNDWATER ; ENDMEMBERS ; QUALITY
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
EI主题词	2019-11-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310631
作者单位	1.Tanta Univ, Geol Dept, Remote Sensing Lab, Fac Sci, Tanta 31527, Egypt; 2.Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto 6158540, Japan; 3.Zagazig Univ, Geol Dept, Fac Sci, Zagazig 44519, Egypt
推荐引用方式 GB/T 7714	Masoud, Alaa A.,Koike, Katsuaki,Atwia, Mohamed G.,et al. Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region[J],2019,83.
APA	Masoud, Alaa A.,Koike, Katsuaki,Atwia, Mohamed G.,El-Horiny, Mohamed M.,&Gemail, Khaled S..(2019).Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,83.
MLA	Masoud, Alaa A.,et al."Mapping soil salinity using spectral mixture analysis of landsat 8 OLI images to identify factors influencing salinization in an arid region".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 83(2019).