Monitoring surface urban heat island formation in a tropical mountain city using Landsat data (1987-2015)

被引:190
|
作者
Estoque, Ronald C. [1 ]
Murayama, Yuji [2 ]
机构
[1] Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan
[2] Univ Tsukuba, Fac Life & Environm Sci, 1-1-1 Tennodai, Tsukuba, Ibaraki 3058572, Japan
基金
日本学术振兴会;
关键词
Urban heat island; Land surface temperature; Remote sensing; Impervious surface; Green space; Baguio City; SERVICE VALUE CHANGES; LANDSCAPE PATTERN; AIR-TEMPERATURE; IMPERVIOUS SURFACE; SPATIAL-PATTERN; VEGETATION; COVER; IMPACTS; CONFIGURATION; BAGUIO;
D O I
10.1016/j.isprsjprs.2017.09.008
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Since it was first described about two centuries ago and due to its adverse impacts on urban ecological environment and the overall livability of cities, the urban heat island (UHI) phenomenon has been, and still is, an important research topic across various fields of study. However, UHI studies on cities in mountain regions are still lacking. This study aims to contribute to this endeavor by monitoring and examining the formation of surface UHI (SUHI) in a tropical mountain city of Southeast Asia-Baguio City, the summer capital of the Philippines- using Landsat data (1987-2015). Based on mean surface temperature difference between impervious surface (IS) and green space (GS1), SUHI intensity (SUHII) in the study area increased from 2.7 degrees C in 1987 to 3.4 degrees C in 2015. Between an urban zone (>86% impervious) and a rural zone (<10% impervious) along the urban-rural gradient, it increased from 4.0 degrees C in 1987 to 8.2 degrees C in 2015. These results are consistent with the rapid urbanization of the area over the same period, which resulted in a rapid expansion of impervious surfaces and substantial loss of green spaces. Together with landscape composition variables (e.g. fraction of IS), topographic variables (e.g. hillshade) can help explain a significant amount of spatial variations in surface temperature in the area (R-2 = 0.56-0.85) (p < 0.001). The relative importance of the 'fraction of IS' variable also increased, indicating that its unique explanatory and predictive power concerning the spatial variations of surface temperature increases as the city size becomes bigger and SUHI gets more intense. Overall, these results indicate that the cool temperature of the study area being situated in a mountain region did not hinder the formation of SUHI. Thus, the formation and effects of UHIs, including possible mitigation and adaptation measures, should be considered in landscape planning for the sustainable urban development of the area. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:18 / 29
页数:12
相关论文
共 50 条
  • [41] Spatio-temporal Assessment of Urban Heat Island Effects in Kuala Lumpur Metropolitan City Using Landsat Images
    Yusuf, Yusuf Ahmed
    Pradhan, Biswajeet
    Idrees, Mohammed O.
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 42 (04) : 829 - 837
  • [42] Spatio-temporal Assessment of Urban Heat Island Effects in Kuala Lumpur Metropolitan City Using Landsat Images
    Yusuf Ahmed Yusuf
    Biswajeet Pradhan
    Mohammed O. Idrees
    Journal of the Indian Society of Remote Sensing, 2014, 42 : 829 - 837
  • [43] Monitoring diurnal dynamics of surface urban heat island for urban agglomerations using ECOSTRESS land surface temperature observations
    Chang Y.
    Xiao J.
    Li X.
    Weng Q.
    Sustainable Cities and Society, 2023, 98
  • [44] Spatiotemporal Analysis of Land Use/Land Cover and Its Effects on Surface Urban Heat Island Using Landsat Data: A Case Study of Metropolitan City Tehran (1988-2018)
    Rousta, Iman
    Sarif, Md Omar
    Gupta, Rajan Dev
    Olafsson, Haraldur
    Ranagalage, Manjula
    Murayama, Yuji
    Zhang, Hao
    Mushore, Terence Darlington
    SUSTAINABILITY, 2018, 10 (12)
  • [45] Thermal comfort conditions at microclimate scale and surface urban heat island in a tropical city: A study on João Pessoa city, Brazil
    Regiane de Souza e Silva
    Richarde Marques da Silva
    Anne Falcão de Freitas
    Joel Silva dos Santos
    Celso Augusto Guimarães Santos
    Eduardo Rodrigues Viana de Lima
    International Journal of Biometeorology, 2022, 66 : 1079 - 1093
  • [46] TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
    Dutta, K.
    Basu, D.
    Agrawal, S.
    ISPRS TC V MID-TERM SYMPOSIUM GEOSPATIAL TECHNOLOGY - PIXEL TO PEOPLE, 2018, 4-5 : 71 - 78
  • [47] An Analysis of the Spatial and Temporal Evolution of the Urban Heat Island in the City of Zhengzhou Using MODIS Data
    Dang, Lei
    Kim, Soobong
    APPLIED SCIENCES-BASEL, 2023, 13 (12):
  • [48] Temporal and Spatial Variations of Urban Heat Island Effect in Jaipur City Using Satellite Data
    Gupta, Rupesh
    ENVIRONMENT AND URBANIZATION ASIA, 2012, 3 (02) : 359 - 374
  • [49] Comparison between surface and canopy layer urban heat island using MODIS data
    Bonafoni, S.
    Anniballe, R.
    Pichierri, M.
    2015 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2015,
  • [50] Estimation of long term low resolution surface urban heat island intensities for tropical cities using MODIS remote sensing data
    Flores, Jose L. R.
    Pereira Filho, Augusto J.
    Karam, Hugo A.
    URBAN CLIMATE, 2016, 17 : 32 - 66