Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/rec.12527 |
Assessing native desert vegetation recovery in a war-affected area using multispectral and hyperspectral imagery: a case study of the Sabah Al-Ahmad Nature Reserve, Kuwait | |
Abdullah, Meshal M.1; Addae-Wireko, Louis2,3; Tena-Gonzalez, Georgina A.2 | |
通讯作者 | Abdullah, Meshal M. |
来源期刊 | RESTORATION ECOLOGY
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ISSN | 1061-2971 |
EISSN | 1526-100X |
出版年 | 2017 |
卷号 | 25期号:6页码:982-993 |
英文摘要 | The primary aim of this project was to assess vegetation changes in the Sabah Al-Ahmad Nature Reserve, Kuwait, which is a war-affected area following the Iraqi invasion in 1990. After the liberation in 1991, several portions of the reserve were under a restoration program. Remote sensing has been used as a tool to assess vegetation and land cover changes. We studied the feasibility of three common methods-the Mahalanobis distance (MD), maximum likelihood (ML), and support vector machine (SVM)-for classification of the multispectral imagery (Landsat) and hyperspectral (Hyperion). The reserve was also compared to the demilitarized zone (DMZ) located at Umm Nigga at the northern border of Kuwait, as it had recovered naturally, to distinguish between an autogenic recovery and a restored area. We discovered that the location was damaged during the military occupation, but a rapid recovery of the vegetation was then recorded in the reserve after the war from less than 1% measured in 1991 to 42% in 1998. Then, the vegetation cover significantly decreased in 2002 (26%) and slightly increased in 2013 (28%). We found that similar rapid increase in vegetation cover occurred in most parts of the reserve that was under the restoration program, and in the DMZ, which was naturally recovered. We concluded that remote sensing technologies are helpful tools in understanding the process of vegetation recovery as it provides information on location and timing of recovery, particularly where optimal condition exists. |
英文关键词 | arid ecosystem Mahalanobis distance maximum likelihood natural recovery support vector machine war-affected areas |
类型 | Article |
语种 | 英语 |
国家 | Kuwait ; USA ; Ghana |
收录类别 | SCI-E |
WOS记录号 | WOS:000414808200015 |
WOS关键词 | SUPPORT VECTOR MACHINES ; SEMIARID REGIONS ; REMOTE ; COVER ; RESTORATION ; LANDSCAPE ; LAND ; SOIL ; CLASSIFICATION ; PRECIPITATION |
WOS类目 | Ecology |
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/2XILL650/202025 |
作者单位 | 1.Amer Univ Kuwait, Social Sci & Behav Dept, Safat 13034, Kuwait; 2.Texas A&M Univ, Ecosyst Sci & Management Dept, College Stn, TX 77843 USA; 3.Kwame Nkrumah Univ Sci & Technol, Fac Renewable Nat Resources, Wildlife & Range Management Dept, Kumasi, Ghana |
推荐引用方式 GB/T 7714 | Abdullah, Meshal M.,Addae-Wireko, Louis,Tena-Gonzalez, Georgina A.. Assessing native desert vegetation recovery in a war-affected area using multispectral and hyperspectral imagery: a case study of the Sabah Al-Ahmad Nature Reserve, Kuwait[J],2017,25(6):982-993. |
APA | Abdullah, Meshal M.,Addae-Wireko, Louis,&Tena-Gonzalez, Georgina A..(2017).Assessing native desert vegetation recovery in a war-affected area using multispectral and hyperspectral imagery: a case study of the Sabah Al-Ahmad Nature Reserve, Kuwait.RESTORATION ECOLOGY,25(6),982-993. |
MLA | Abdullah, Meshal M.,et al."Assessing native desert vegetation recovery in a war-affected area using multispectral and hyperspectral imagery: a case study of the Sabah Al-Ahmad Nature Reserve, Kuwait".RESTORATION ECOLOGY 25.6(2017):982-993. |
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