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; Al-Quraishi, Ayad M. Fadhil; Saibi, Hakim; Al-Fugara, A'kif; Kaplan, Gordana
通讯作者	Ibrahim, M (corresponding author), Al al Bayt Univ, Geog Informat Syst & Remote Sensing Dept, Erath & Environm Sci Inst, 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:000645590700001
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/2XILL650/351240
作者单位	[Ibrahim, Majed] Al al Bayt Univ, Geog Informat Syst & Remote Sensing Dept, Erath & Environm Sci Inst, Al Mafraq, Jordan; [Alqasemi, Abduldaem S.] UAEU, Coll Humanities & Social Sci, Geog & Urban Sustainabil, Al Ain, U Arab Emirates; [Al-Quraishi, Ayad M. Fadhil] Tishk Int Univ, Fac Engn, Surveying & Geomat Engn Dept, Erbil, Iraq; [Saibi, Hakim] UAEU, Geol Dept, Coll Sci, Al Ain, U Arab Emirates; [Al-Fugara, A'kif] Al al Bayt Univ, Engn Coll, Surveying Engn Dept, 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,Al-Quraishi, Ayad M. Fadhil,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,Al-Quraishi, Ayad M. Fadhil,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.