干旱区生态环境知识资源中心(Arid): Assessing the Impact of Land Use and Land Cover Changes on Surface Temperature Dynamics Using Google Earth Engine: A Case Study of Tlemcen Municipality, Northwestern Algeria (1989-2019)

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DOI	10.3390/ijgi13070237
	Assessing the Impact of Land Use and Land Cover Changes on Surface Temperature Dynamics Using Google Earth Engine: A Case Study of Tlemcen Municipality, Northwestern Algeria (1989-2019)
	Selka, Imene; Mokhtari, Abderahemane Medjdoub; Tabet Aoul, Kheira Anissa; Bengusmia, Djamal; Malika, Kacemi; Djebbar, Khadidja El-Bahdja
通讯作者	Aoul, KAT
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2024
卷号	13 期号:7
英文摘要	Changes in land use and land cover (LULC) have a significant impact on urban planning and environmental dynamics, especially in regions experiencing rapid urbanization. In this context, by leveraging the Google Earth Engine (GEE), this study evaluates the effects of land use and land cover modifications on surface temperature in a semi-arid zone of northwestern Algeria between 1989 and 2019. Through the analysis of Landsat images on GEE, indices such as normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), and normalized difference latent heat index (NDLI) were extracted, and the random forest and split window algorithms were used for supervised classification and surface temperature estimation. The multi-index approach combining the Normalized Difference Tillage Index (NDTI), NDBI, and NDVI resulted in kappa coefficients ranging from 0.96 to 0.98. The spatial and temporal analysis of surface temperature revealed an increase of 4 to 6 degrees across the four classes (urban, barren land, vegetation, and forest). The Google Earth Engine approach facilitated detailed spatial and temporal analysis, aiding in understanding surface temperature evolution at various scales. This ability to conduct large-scale and long-term analysis is essential for understanding trends and impacts of land use changes at regional and global levels.
英文关键词	Landsat imagery remote sensing land use land cover LST indices Google Earth Engine semi-arid zone
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:001277490800001
WOS关键词	SPECTRAL MIXTURE ANALYSIS ; BUILT-UP INDEX ; USE/LAND COVER ; URBANIZATION ; MITIGATION ; ACCURACY ; CLIMATE ; AREAS ; ETM+ ; TM
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404305
推荐引用方式 GB/T 7714	Selka, Imene,Mokhtari, Abderahemane Medjdoub,Tabet Aoul, Kheira Anissa,et al. Assessing the Impact of Land Use and Land Cover Changes on Surface Temperature Dynamics Using Google Earth Engine: A Case Study of Tlemcen Municipality, Northwestern Algeria (1989-2019)[J],2024,13(7).
APA	Selka, Imene,Mokhtari, Abderahemane Medjdoub,Tabet Aoul, Kheira Anissa,Bengusmia, Djamal,Malika, Kacemi,&Djebbar, Khadidja El-Bahdja.(2024).Assessing the Impact of Land Use and Land Cover Changes on Surface Temperature Dynamics Using Google Earth Engine: A Case Study of Tlemcen Municipality, Northwestern Algeria (1989-2019).ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,13(7).
MLA	Selka, Imene,et al."Assessing the Impact of Land Use and Land Cover Changes on Surface Temperature Dynamics Using Google Earth Engine: A Case Study of Tlemcen Municipality, Northwestern Algeria (1989-2019)".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 13.7(2024).