干旱区生态环境知识资源中心(Arid): Detection and modeling of soil salinity variations in arid lands using remote sensing data

Arid

DOI	10.1515/geo-2020-0244
	Detection and modeling of soil salinity variations in arid lands using remote sensing data
	Alqasemi, Abduldaem S.; Ibrahim, Majed; Fadhil Al-Quraishi, Ayad M.; Saibi, Hakim; Al-Fugara, A'kif; Kaplan, Gordana
通讯作者	Ibrahim, M (corresponding author), Al Bayt Univ, Erath & Environm Sci Inst, Geog Informat Syst & Remote Sensing Dept, Al Mafraq, Jordan.
来源期刊	OPEN GEOSCIENCES
ISSN	2391-5447
出版年	2021
卷号	13 期号:1 页码:443-453
英文摘要	Soil salinization is a ubiquitous global problem. The literature supports the integration of remote sensing (RS) techniques and field measurements as effective methods for developing soil salinity prediction models. The objectives of this study were to (i) estimate the level of soil salinity in Abu Dhabi using spectral indices and field measurements and (ii) develop a model for detecting and mapping soil salinity variations in the study area using RS data. We integrated Landsat 8 data with the electrical conductivity measurements of soil samples taken from the study area. Statistical analysis of the integrated data showed that the normalized difference vegetation index and bare soil index showed moderate correlations among the examined indices. The relation between these two indices can contribute to the development of successful soil salinity prediction models. Results show that 31% of the soil in the study area is moderately saline and 46% of the soil is highly saline. The results support that geoinformatic techniques using RS data and technologies constitute an effective tool for detecting soil salinity by modeling and mapping the spatial distribution of saline soils. Furthermore, we observed a low correlation between soil salinity and the nighttime land surface temperature.
英文关键词	electrical conductivity remote sensing Landsat 8 salinity salinization spectral index LST
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000734485800001
WOS关键词	SALT-AFFECTED SOIL ; ELECTRICAL-CONDUCTIVITY ; VEGETATION INDEXES ; DRAINAGE BASINS ; ARABIAN GULF ; ABU-DHABI ; AREA ; IMAGES ; LAKE
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373599
作者单位	[Ibrahim, Majed] Al Bayt Univ, Erath & Environm Sci Inst, Geog Informat Syst & Remote Sensing Dept, Al Mafraq, Jordan; [Alqasemi, Abduldaem S.] UAEU, Coll Humanities & Social Sci, Geog & Urban Sustainabil, Al Ain, U Arab Emirates; [Fadhil Al-Quraishi, Ayad M.] Tishk Int Univ, Surveying & Geomat Engn Dept, Fac Engn, Erbil, Iraq; [Saibi, Hakim] UAEU, Geol Dept, Coll Sci, Al Ain, U Arab Emirates; [Al-Fugara, A'kif] Al Bayt Univ, Surveying Engn Dept, Engn Coll, Al Mafraq, Jordan; [Kaplan, Gordana] Eskisehir Tech Univ, Inst Earth & Space Sci, Eskisehir, Turkey
推荐引用方式 GB/T 7714	Alqasemi, Abduldaem S.,Ibrahim, Majed,Fadhil Al-Quraishi, Ayad M.,et al. Detection and modeling of soil salinity variations in arid lands using remote sensing data[J],2021,13(1):443-453.
APA	Alqasemi, Abduldaem S.,Ibrahim, Majed,Fadhil Al-Quraishi, Ayad M.,Saibi, Hakim,Al-Fugara, A'kif,&Kaplan, Gordana.(2021).Detection and modeling of soil salinity variations in arid lands using remote sensing data.OPEN GEOSCIENCES,13(1),443-453.
MLA	Alqasemi, Abduldaem S.,et al."Detection and modeling of soil salinity variations in arid lands using remote sensing data".OPEN GEOSCIENCES 13.1(2021):443-453.