干旱区生态环境知识资源中心(Arid): Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing

Arid

DOI	10.3390/rs14102500
	Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing
	Kaplan, Gordana; Aydinli, Hakan Oktay; Pietrelli, Andrea; Mieyeville, Fabien; Ferrara, Vincenzo
通讯作者	Kaplan, G
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:10
英文摘要	Oil contamination is a major source of pollution in the environment. It may take decades for oil-contaminated soils to be remedied. This study models oil-contaminated soils using one of the world's greatest environmental disasters, the onshore oil spill in the desert of Kuwait in 1991. This work uses state-of-art remote sensing technologies and machine learning to investigate the oil spills during the first Gulf War. We were able to identify oil-contaminated and clear locations in Kuwait using unsupervised classification over pre- and post-oil spill data. The research area's pre-war and post-war circumstances, in terms of oil spills, were discovered by developing spectral signatures with different wavelengths and several spectral indices utilized for oil-contamination detection. Following that, we use this data for sampling and training to model various oil-contaminated soil levels. In addition, we analyze two separate datasets and used three modeling methodologies, Random Tree (RT), Support Vector Machine (SVM) and Random Forest (RF). The results show that the suggested approach is effective in detecting oil-contaminated soil. As a result, the location and degree of contamination may be established. The results of this analysis can be a valid support to the studies of an appropriate remediation.
英文关键词	oil contamination soil pollution soil contamination soil remediation remote sensing arid areas
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000801358200001
WOS关键词	RANDOM FOREST ; GULF-WAR ; FIELD ; KUWAIT ; IMPACT
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394142
推荐引用方式 GB/T 7714	Kaplan, Gordana,Aydinli, Hakan Oktay,Pietrelli, Andrea,et al. Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing[J],2022,14(10).
APA	Kaplan, Gordana,Aydinli, Hakan Oktay,Pietrelli, Andrea,Mieyeville, Fabien,&Ferrara, Vincenzo.(2022).Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing.REMOTE SENSING,14(10).
MLA	Kaplan, Gordana,et al."Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing".REMOTE SENSING 14.10(2022).