干旱区生态环境知识资源中心(Arid): Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Turkiye Alluvial Plain

Arid

DOI	10.3390/land11122148
	Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Turkiye Alluvial Plain
	Kaya, Fuat; Schillaci, Calogero; Keshavarzi, Ali; Basayigit, Levent
通讯作者	Schillaci, C
来源期刊	LAND
EISSN	2073-445X
出版年	2022
卷号	11 期号:12
英文摘要	The increase in soil salinity due to human-induced processes poses a severe threat to agriculture on a regional and global scale. Soil salinization caused by natural and anthropogenic factors is a vital environmental hazard, specifically in semi-arid and arid regions of the world. The detection and monitoring of salinity are critical to the sustainability of soil management. The current study compared the performance of machine learning models to produce spatial maps of electrical conductivity (EC) (as a proxy for salinity) in an alluvial irrigation plain. The current study area is located in the Isparta province (100 km(2)), land cover is mainly irrigated, and the dominant soils are Inceptisols, Mollisols, and Vertisols. Digital soil mapping (DSM) methodology was used, referring to the increase in the digital representation of soil formation factors with today's technological advances. Plant and soil-based indices produced from the Sentinel 2A satellite image, topographic indices derived from the digital elevation model (DEM), and CORINE land cover classes were used as predictors. The support vector regression (SVR) algorithm revealed the best relationships in the study area. Considering the estimates of different algorithms, according to the FAO salinity classification, a minimum of 12.36% and a maximum of 20.19% of the study area can be classified as slightly saline. The low spatial dependence between model residuals limited the success of hybrid methods. The land irrigated cover played a significant role in predicting the current level of EC.
英文关键词	soil salinization digital soil mapping CORINE human-induced salinization irrigation-associated salinity agricultural regions sentinel 2 MSI environmental covariates remote sensing Mediterranean region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:000902448200001
WOS关键词	HARRAN PLAIN ; LAND ; SALINIZATION
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393706
推荐引用方式 GB/T 7714	Kaya, Fuat,Schillaci, Calogero,Keshavarzi, Ali,et al. Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Turkiye Alluvial Plain[J],2022,11(12).
APA	Kaya, Fuat,Schillaci, Calogero,Keshavarzi, Ali,&Basayigit, Levent.(2022).Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Turkiye Alluvial Plain.LAND,11(12).
MLA	Kaya, Fuat,et al."Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Turkiye Alluvial Plain".LAND 11.12(2022).