气候变化领域集成服务门户(CCPortal): Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC)

CCPortal

DOI	10.3390/su16093873
	Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC)
	Ahmed, Maram; Aloshan, Mohammed A.; Mohammed, Wisam; Mesbah, Essam; Alsaleh, Naser A.; Elghonaimy, Islam
发表日期	2024
EISSN	2071-1050
起始页码	16
结束页码	9
卷号	16 期号:9
英文摘要	In the context of global climate change, there is a projected increase in land surface temperature (LST) worldwide, amplifying its impacts. This poses a particular concern for countries with hot climates, including the Kingdom of Bahrain as an example for the Gulf Cooperation Council countries (GCC), which are countries with a hot climate. With a surge in population growth, there is a heightened demand for land to accommodate additional residential developments, creating an opportunity to investigate the influence of land use changes on LST variations. To achieve this goal, a residential development project spanning from 2013 to 2023 was undertaken. Landsat 8 OLI/TIRS remote sensing datasets were selected for four climate seasons, each set comprising images before and after development. The analysis involved extracting the LST, Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-Up Index (NDBI) on various dates, followed by correlation and regression analyses to explore their interrelationships. The results revealed a significant increase in the mean LST during spring and autumn post-development. A consistent positive association between the LST and NDBI was observed across all seasons, strengthening after development completion. Conversely, there was a pre-development negative correlation between the LST and NDVI, shifting to a positive relationship post-development. These findings empirically support the idea that small-scale residential developments contribute to notable LST increases, primarily due to expanded impervious surfaces. These insights have the potential to inform localized adaptation strategies for small-scale residential development projects, crucial for managing the impacts of rising land surface temperatures.
英文关键词	Bahrain; sustainability environmental quality; climate change adaptation; remote sensing; urban heat islands (UHIs); social housing project; governmental housing
语种	英语
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号	WOS:001219889400001
来源期刊	SUSTAINABILITY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289088
作者单位	University of Bahrain; Imam Abdulrahman Bin Faisal University; University of Jeddah; University of Bahrain
推荐引用方式 GB/T 7714	Ahmed, Maram,Aloshan, Mohammed A.,Mohammed, Wisam,et al. Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC)[J],2024,16(9).
APA	Ahmed, Maram,Aloshan, Mohammed A.,Mohammed, Wisam,Mesbah, Essam,Alsaleh, Naser A.,&Elghonaimy, Islam.(2024).Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC).SUSTAINABILITY,16(9).
MLA	Ahmed, Maram,et al."Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC)".SUSTAINABILITY 16.9(2024).