干旱区生态环境知识资源中心(Arid): Spatiotemporal monitoring and change detection of vegetation cover for drought management in the Middle East

Arid

DOI	10.1007/s00704-021-03543-x
	Spatiotemporal monitoring and change detection of vegetation cover for drought management in the Middle East
	Karakani, Elaheh Ghasemi; Malekian, Arash; Gholami, Soroush; Liu, Junguo
通讯作者	Malekian, A (corresponding author), Univ Tehran, Tehran, Iran.
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2021
卷号	144 期号:1-2 页码:299-315
英文摘要	The Middle East (ME), as an arid and semi-arid region, is prone to environmental risks and stresses, such as drought are inseparable phenomena of the region. In this study, an approach for identifying sustained vegetation cover (SVC) is suggested to identify the connection between SVC and drought. Normalized difference vegetation index (NDVI) and land surface temperature (LST) were used to filter zones of rich vegetation cover from poorly vegetated or non-vegetated regions of the ME. The change detection of vegetation cover was computed by the NDVI differencing technique, and the vegetation condition index (VCI) and normalized vegetation supply water index (NVSWI) were used to derive drought indices. The standardized precipitation index (SPI) and rainfall anomaly index (RAI) were used to monitor the intensity of meteorological drought events. A comparison of the estimates of vegetation change, remote sensing-based VCI, and meteorological drought indices revealed that the highest SVC is concurrent with the occurrence of drought. Moreover, it was found that the most severe meteorological drought and VCL-based drought condition occurred in 2008 and that the highest percentage of SVC was also obtained for this year. The results suggest the possibility of using the SVC instead of other spectral indices, such as the NDVI, VCI, NVSWI, and NVSWI, for the superior assessment and detection of environmental stresses such as drought.
英文关键词	Environmental change detection Drought assessment Vegetation cover Middle East
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000614686400002
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351883
作者单位	[Karakani, Elaheh Ghasemi; Malekian, Arash] Univ Tehran, Tehran, Iran; [Gholami, Soroush] Tarbiat Modares Univ, Tehran, Iran; [Liu, Junguo] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	Karakani, Elaheh Ghasemi,Malekian, Arash,Gholami, Soroush,et al. Spatiotemporal monitoring and change detection of vegetation cover for drought management in the Middle East[J],2021,144(1-2):299-315.
APA	Karakani, Elaheh Ghasemi,Malekian, Arash,Gholami, Soroush,&Liu, Junguo.(2021).Spatiotemporal monitoring and change detection of vegetation cover for drought management in the Middle East.THEORETICAL AND APPLIED CLIMATOLOGY,144(1-2),299-315.
MLA	Karakani, Elaheh Ghasemi,et al."Spatiotemporal monitoring and change detection of vegetation cover for drought management in the Middle East".THEORETICAL AND APPLIED CLIMATOLOGY 144.1-2(2021):299-315.