Knowledge Resource Center for Ecological Environment in Arid Area
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
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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. |
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