干旱区生态环境知识资源中心(Arid): Long-term dynamics of remote sensing indicators to monitor the dynamism of ecosystems in arid and semi-arid areas: contributions to sustainable resource management

Arid

DOI	10.2166/wcc.2024.409
	Long-term dynamics of remote sensing indicators to monitor the dynamism of ecosystems in arid and semi-arid areas: contributions to sustainable resource management
	Keria, Hadjer; Bensaci, Ettayib; Zoubiri, Asma; Ben Si Said, Zineb
通讯作者	Keria, H
来源期刊	JOURNAL OF WATER AND CLIMATE CHANGE
ISSN	2040-2244
EISSN	2408-9354
出版年	2024
卷号	15 期号:4 页码:1532-1550
英文摘要	Drought is expected to increase in water bodies due to climate change. Monitoring long-term changes in wetlands is crucial for identifying fluctuations and conserving biodiversity. In this study, we assessed the long-term variability of remote sensing indicators in 25 watershed areas in Algeria known for their significant biodiversity. We employed two statistical methods, namely linear regression and the Mann-Kendall (MK) test, to capture long-term fluctuations by integrating data from various sources, including Modis and Landsat satellite data. A time-series dataset spanning 22 years was developed, consisting of the following indicators: normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), normalized difference water index (NDWI), normalized difference moisture index (NDMI), and land surface temperature (LST). We evaluated the relationships between these variables. The results indicated that NDVI exhibited a stronger temporal response compared to EVI, NDWI, and NDMI. Additionally, negative associations between NDVI and LST confirmed the impact of drought and plant stress on vegetation in the study areas (R-2 = 0.109-R-2 = 0.5701). The NDMI results pointed to water stress in the water bodies, showing a significant decreasing trend. The results from the MK trend analysis underscored the importance of NDVI and highlighted its strong association with EVI, NDWI, and NDMI. Understanding the dynamics of vegetation and water stress has become crucial for ecosystem forecasts.
英文关键词	Algeria indicators remote sensing vegetation watersheds
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001187334400001
WOS关键词	VEGETATION ; INDEXES ; TRENDS ; BASIN ; EARTH
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404755
推荐引用方式 GB/T 7714	Keria, Hadjer,Bensaci, Ettayib,Zoubiri, Asma,et al. Long-term dynamics of remote sensing indicators to monitor the dynamism of ecosystems in arid and semi-arid areas: contributions to sustainable resource management[J],2024,15(4):1532-1550.
APA	Keria, Hadjer,Bensaci, Ettayib,Zoubiri, Asma,&Ben Si Said, Zineb.(2024).Long-term dynamics of remote sensing indicators to monitor the dynamism of ecosystems in arid and semi-arid areas: contributions to sustainable resource management.JOURNAL OF WATER AND CLIMATE CHANGE,15(4),1532-1550.
MLA	Keria, Hadjer,et al."Long-term dynamics of remote sensing indicators to monitor the dynamism of ecosystems in arid and semi-arid areas: contributions to sustainable resource management".JOURNAL OF WATER AND CLIMATE CHANGE 15.4(2024):1532-1550.