干旱区生态环境知识资源中心(Arid): Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni

Arid

DOI	10.1016/j.jenvman.2021.113970
	Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni
	Jamali, Ali Akbar; Kalkhajeh, Reza Ghorbani; Randhir, Timothy O.; He, Songtang
通讯作者	Jamali, AA (corresponding author), Islamic Azad Univ, Dept GIS RS & Watershed Management, Maybod Branch, Yazd, Iran.
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2022
卷号	302
英文摘要	Land surface temperature (LST) and vegetation cover changes are two indicators of landscapes in a region. The relationship between LST anomalies, elevation, vegetation, and urban growth is significant to conservation. This study addresses this issue using night-time satellite imagery, kernel methods (points aggregation), and the trend analysis for a long-term period (2001-2017) in Iran. Variables for two seasons (summer and winter) in urban and natural land uses were derived using the Google Earth Engine (GEE) and NASA's Giovanni. Point data derived from raster maps were quantified using statistical kernel and trend analysis. As result, it was observed that LST rise in various elevations, seasons, and land uses. The LST was analyzed through kernels (point aggregation in scatter graphs), which shifted to the right. The LST anomaly in the daytime had the highest maximum value (>4 degrees C) and lowest minimum value (<-5 C) in forests and mountains and metropolises with the highest population growth rate. Summer and winter seasons had positive trends in LST for forest and mountain land uses. All seasons had positive trends in EVI in the mountain, and desert land uses. This warming and increasing LST can increase vulnerability to drought, dust storms, floods, avalanches, and natural fires. The EVI is increasing over the years due to government projects in green spaces and urban parks. There is a need to protect urban and natural environments to prevent natural disasters and unplanned population growth.
英文关键词	Anomaly Land surface temperature GEE Giovanni Elevation Season
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000714693900004
WOS关键词	URBAN HEAT-ISLAND ; CLIMATE-CHANGE ; MODIS LST ; AIR-TEMPERATURE ; COVER ; DIFFERENCE ; AREAS ; SOUTHEAST ; DESERT ; IMPACT
WOS类目	Environmental Sciences
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/2XILL650/374496
作者单位	[Jamali, Ali Akbar] Islamic Azad Univ, Dept GIS RS & Watershed Management, Maybod Branch, Yazd, Iran; [Kalkhajeh, Reza Ghorbani] Islamic Azad Univ, Dept Remote Sensing & GIS, Yazd Branch, Yazd, Iran; [Randhir, Timothy O.] Univ Massachusetts, Dept Environm Conservat, Amherst, MA 01003 USA; [He, Songtang] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China
推荐引用方式 GB/T 7714	Jamali, Ali Akbar,Kalkhajeh, Reza Ghorbani,Randhir, Timothy O.,et al. Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni[J],2022,302.
APA	Jamali, Ali Akbar,Kalkhajeh, Reza Ghorbani,Randhir, Timothy O.,&He, Songtang.(2022).Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni.JOURNAL OF ENVIRONMENTAL MANAGEMENT,302.
MLA	Jamali, Ali Akbar,et al."Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni".JOURNAL OF ENVIRONMENTAL MANAGEMENT 302(2022).