气候变化领域集成服务门户(CCPortal): Impacts of urban landscape pattern changes on land surface temperature in Southeast Brazil

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DOI	10.1016/j.rsase.2024.101142
	Impacts of urban landscape pattern changes on land surface temperature in Southeast Brazil
	Ribeiro, Marina Pannunzio; Menezes, Gustavo Paixao; Figueiredo, Gleyce K. D. A.; de Mello, Kaline; Valente, Roberta Averna
发表日期	2024
ISSN	2352-9385
起始页码	33
卷号	33
英文摘要	Urban sprawl is a global concern, considering the current climate change scenario. The conversion of natural habitats or other land uses to urban areas increases the Land Surface Temperature (LST), impacting people mainly in tropical regions, such as Brazil, where the temperature is aggravated by high air humidity. In this context, we assessed the seasonal variation of LST in response to the land-use/land-cover (LULC) changes over a large city in southwest Brazil during the last 36 years (1985-2020). We used Mapbiomas LULC data and LST retrieved from the Landsat series with the Google Earth Engine platform. The methodology involved the change detection analysis from 1985 to 2020 for all LULC types, a non-parametric Dwass-Steel-Critchlow-Fligner test to estimate the LST spatio-temporal variability over different LULC types, and a nonparametric Sperman's rho test and scatter plots to relate LST changes to the LULC patterns. The results presented areas exchanging under an intense urbanization process, wherein nearly 13% of the transitions were from agricultural to urban areas. These transitions occurred jointly with an increase in temperature for all LULC types. Forest formation registered the lowest LST and a moderate to strong negative correlation with LST in both seasons. On the other hand, urban areas showed the highest temperatures and a moderate to strong positive correlation with LST in summer. From 1985 to 2020, the mean temperature in urban (built-up) areas during the summer increased by 7 degrees C. In 2020, the mean temperature in urban areas was 32.5 degrees C and 27.8 degrees C in forested areas during the summer. The main contribution of this study is to provide evidencebased support for establishing LULC governance at the city scale. It offers essential scientific information about the detrimental impact of urban sprawl against the climate benefits of green infrastructure on the city scale, even in tropical regions with high forest fragmentation, tempera
英文关键词	Climate change; Impervious surface; Google earth engine; Extreme heat; Atlantic forest biome
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
WOS类目	Environmental Sciences ; Remote Sensing
WOS记录号	WOS:001175823400001
来源期刊	REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290894
作者单位	Universidade Federal de Sao Carlos; Universidade de Sao Paulo; Universidade Estadual de Campinas; Charles Darwin University; Commonwealth Scientific & Industrial Research Organisation (CSIRO); Universidade Federal de Sao Carlos
推荐引用方式 GB/T 7714	Ribeiro, Marina Pannunzio,Menezes, Gustavo Paixao,Figueiredo, Gleyce K. D. A.,et al. Impacts of urban landscape pattern changes on land surface temperature in Southeast Brazil[J],2024,33.
APA	Ribeiro, Marina Pannunzio,Menezes, Gustavo Paixao,Figueiredo, Gleyce K. D. A.,de Mello, Kaline,&Valente, Roberta Averna.(2024).Impacts of urban landscape pattern changes on land surface temperature in Southeast Brazil.REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT,33.
MLA	Ribeiro, Marina Pannunzio,et al."Impacts of urban landscape pattern changes on land surface temperature in Southeast Brazil".REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 33(2024).