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DOI10.1016/j.rsase.2024.101163
LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon
发表日期2024
ISSN2352-9385
起始页码34
卷号34
英文摘要This study investigates microclimate changes induced by urbanization, with a focus on the Urban Heat Island (UHI) phenomenon and the crucial role of Land Surface Temperature (LST). Using the Landsat 8 Land Surface Temperature and Reflectance dataset obtained from the USGS Earth Explorer platform, the research evaluates LST and exoatmospheric albedo characteristics within Lisbon's Metropolitan Area across a defined set of thermal periods from 2015 to 2020. Among the findings, the Bare Soil or Sand LCZ consistently exhibits heightened LST values, while the Large Low Rise urban LCZ consistently records the highest temperatures, exceeding 54 degrees C and 55 degrees C in spring and summer and 43.8 degrees C and 37.8 degrees C in autumn and winter, respectively. These insights, derived from a meticulous examination of the Landsat 8 dataset and advanced processing methods, bear critical implications for climate change adaptation strategies, providing valuable insights to mitigate the adverse effects of the Urban Heat Island and foster sustainable urban development practices.
英文关键词Land surface temperature; Local climate zones; Landsat 8; Exoatmospheric albedo; Urban heat island
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:001198930200001
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/292829
作者单位Universidade de Lisboa
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GB/T 7714
. LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon[J],2024,34.
APA (2024).LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon.REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT,34.
MLA "LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon".REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 34(2024).
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