干旱区生态环境知识资源中心(Arid): Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model

Arid

DOI	10.7717/peerj.10747
	Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model
	Su, Yiting; Wang, Dongchuan; Zhao, Shuang; Shi, Jiancong; Shi, Yanqing; Wei, Dongying
通讯作者	Zhao, S (corresponding author), Tianjin Chengjian Univ, Sch Geol & Geomat, Tianjin, Peoples R China.
来源期刊	PEERJ
ISSN	2167-8359
出版年	2021
卷号	9
英文摘要	Background: Associated with the significant decrease in water resources, natural vegetation degradation has also led to many widespread environmental problems in the Aral Sea Basin. However, few studies have examined long-term vegetation dynamics in the Aral Sea Basin or distinguished between natural vegetation and cultivated land when calculating the fractional vegetation cover. Methods: Based on the multi-temporal Moderate Resolution Imaging Spectroradiometer, this study examined the natural vegetation coverage by introducing the Linear Spectral Mixture Model to the Google Earth Engine platform, which greatly reduces the experimental time. Further, trend line analysis, Sen trend analysis, and Mann-Kendall trend test methods were employed to explore the characteristics of natural vegetation cover change in the Aral Sea Basin from 2000 to 2018. Results: Analyses of the results suggest three major conclusions. First, the development of irrigated agriculture in the desert area is the main reason for the decrease in downstream water. Second, with the reduction of water, the natural vegetation coverage in the Aral Sea Basin showed an upward trend of 17.77% from 2000 to 2018. Finally, the main driving factor of vegetation cover changes in the Aral Sea Basin is the migration of cultivated land to the desert.
英文关键词	The Aral Sea Basin Fractional vegetation cover The linear spectral mixture model Google earth engine
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000624294300001
WOS关键词	STRUCTURAL SIMILARITY INDEX ; ENDMEMBER VARIABILITY ; CLIMATE-CHANGE ; QUALITY ; HEALTH ; GROWTH
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351298
作者单位	[Su, Yiting; Wang, Dongchuan; Zhao, Shuang; Shi, Jiancong; Shi, Yanqing; Wei, Dongying] Tianjin Chengjian Univ, Sch Geol & Geomat, Tianjin, Peoples R China; [Wang, Dongchuan] Tianjin Key Lab Civil Struct Protect & Reinforcem, Tianjin, Peoples R China
推荐引用方式 GB/T 7714	Su, Yiting,Wang, Dongchuan,Zhao, Shuang,et al. Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model[J],2021,9.
APA	Su, Yiting,Wang, Dongchuan,Zhao, Shuang,Shi, Jiancong,Shi, Yanqing,&Wei, Dongying.(2021).Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model.PEERJ,9.
MLA	Su, Yiting,et al."Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model".PEERJ 9(2021).