干旱区生态环境知识资源中心(Arid): Soil wind erodibility and erosion estimation using Landsat satellite imagery and multiple-criteria decision analysis in Urmia Lake Region, Iran

Arid

DOI	10.1080/15324982.2022.2087570
	Soil wind erodibility and erosion estimation using Landsat satellite imagery and multiple-criteria decision analysis in Urmia Lake Region, Iran
	Chakherlou, Saghar; Jafarzadeh, Ali Asghar; Ahmadi, Abbas; Feizizadeh, Bakhtiar; Shahbazi, Farzin; Boloorani, Ali Darvishi; Mirzaei, Saham
通讯作者	Chakherlou, S
来源期刊	ARID LAND RESEARCH AND MANAGEMENT
ISSN	1532-4982
EISSN	1532-4990
出版年	2023
卷号	37 期号:1 页码:71-91
英文摘要	Assessing variations in soil wind erosion (SWE) is critical for identifying key change areas and formulating desertification control strategies. Satellite images with an expansive spatial coverage and temporal repeatability make it possible to monitor the process of soil degradation and its consequences such as SWE. This research aims to model SWE in the eastern shoreline of Urmia Lake in the 2005-2017 period through multiple-criteria decision analysis (MCDA). Soil moisture, soil erodibility (SE), soil crust index, number of snow cover days, wind field intensity, and vegetation fraction were determined as critical factors affecting SWE. The analytic hierarchy process (AHP) method was applied to determine the weight of each factor. High SE and poor vegetation were the most important factors in the developed SWE model. The SE was precisely estimated (relative percent deviation (RPD)=2.01) by the support vector regression (SVR) method using Landsat-8 image. The developed SWE estimation method had an overall accuracy of 81%. Most of the eastern shoreline of Urmia Lake Region was classified in the severe SWE class. Results showed a declining erosion intensity trend from central parts with high wind erosion (47% of the region) to northern and southern parts of the region. Increasing the distance from the lake led to an increase in SWE.
英文关键词	Landsat MCDA soil erodibility soil wind erosion Urmia Lake
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000817900000001
WOS关键词	GEOGRAPHIC INFORMATION-SYSTEM ; INNER-MONGOLIA ; SPATIAL VARIABILITY ; WATER EROSION ; SIZE
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395446
推荐引用方式 GB/T 7714	Chakherlou, Saghar,Jafarzadeh, Ali Asghar,Ahmadi, Abbas,et al. Soil wind erodibility and erosion estimation using Landsat satellite imagery and multiple-criteria decision analysis in Urmia Lake Region, Iran[J],2023,37(1):71-91.
APA	Chakherlou, Saghar.,Jafarzadeh, Ali Asghar.,Ahmadi, Abbas.,Feizizadeh, Bakhtiar.,Shahbazi, Farzin.,...&Mirzaei, Saham.(2023).Soil wind erodibility and erosion estimation using Landsat satellite imagery and multiple-criteria decision analysis in Urmia Lake Region, Iran.ARID LAND RESEARCH AND MANAGEMENT,37(1),71-91.
MLA	Chakherlou, Saghar,et al."Soil wind erodibility and erosion estimation using Landsat satellite imagery and multiple-criteria decision analysis in Urmia Lake Region, Iran".ARID LAND RESEARCH AND MANAGEMENT 37.1(2023):71-91.