globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2017.08.012
Scopus记录号: 2-s2.0-85032218559
论文题名:
The urban heat island in Rio de Janeiro, Brazil, in the last 30 years using remote sensing data
作者: Peres L; D; F; , Lucena A; J; D; , Rotunno Filho O; C; , França J; R; D; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64
起始页码: 104
结束页码: 116
语种: 英语
英文关键词: Land-surface temperature ; Land-use ; Remote sensing ; Urban heat island ; Urban planning
Scopus关键词: heat island ; land surface ; land use ; Landsat thematic mapper ; remote sensing ; surface temperature ; urban planning ; Brazil ; Rio de Janeiro [Brazil]
英文摘要: The aim of this work is to study urban heat island (UHI) in Metropolitan Area of Rio de Janeiro (MARJ) based on the analysis of land-surface temperature (LST) and land-use patterns retrieved from Landsat-5/Thematic Mapper (TM), Landsat-7/Enhanced Thematic Mapper Plus (ETM+) and Landsat-8/Operational Land Imager (OLI) and Thermal Infrared Sensors (TIRS) data covering a 32-year period between 1984 and 2015. LST temporal evolution is assessed by comparing the average LST composites for 1984–1999 and 2000–2015 where the parametric Student t-test was conducted at 5% significance level to map the pixels where LST for the more recent period is statistically significantly greater than the previous one. The non-parametric Mann-Whitney-Wilcoxon rank sum test has also confirmed at the same 5% significance level that the more recent period (2000–2015) has higher LST values. UHI intensity between “urban” and “rural/urban low density” (“vegetation”) areas for 1984–1999 and 2000–2015 was established and confirmed by both parametric and non-parametric tests at 1% significance level as 3.3 °C (5.1 °C) and 4.4 °C (7.1 °C), respectively. LST has statistically significantly (p-value < 0.01) increased over time in two of three land cover classes (“urban” and “urban low density”), respectively by 1.9 °C and 0.9 °C, except in “vegetation” class. A spatial analysis was also performed to identify the urban pixels within MARJ where UHI is more intense by subtracting the LST of these pixels from the LST mean value of “vegetation” land-use class. © 2017 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79888
Appears in Collections:气候变化事实与影响

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作者单位: Department of Meteorology, Federal University of Rio de Janeiro (UFRJ), Campus Ilha do Fundão—Cidade Universitária, Rio de Janeiro, RJ, Brazil; Departament of Geography, Agronomy Institute, Federal Rural University of Rio de Janeiro (UFRRJ), BR-465, Km 7, Seropédica, RJ, Brazil; Civil Engineering Program, COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil

Recommended Citation:
Peres L,D,F,et al. The urban heat island in Rio de Janeiro, Brazil, in the last 30 years using remote sensing data[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64
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