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
  • [1] Monitoring annual urbanization activities in Guangzhou using Landsat images (1987-2015)
    Sun, Ying
    Zhang, Xinchang
    Zhao, Yuan
    Xin, Qinchuan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (05) : 1258 - 1276
  • [2] Quantifying Surface Urban Heat Island Formation in the World Heritage Tropical Mountain City of Sri Lanka
    Ranagalage, Manjula
    Dissanayake, D. M. S. L. B.
    Murayama, Yuji
    Zhang, Xinmin
    Estoque, Ronald C.
    Perera, E. N. C.
    Morimoto, Takehiro
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (09)
  • [3] Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987-2015
    Chen, Bangqian
    Xiao, Xiangming
    Wu, Zhixiang
    Yun, Tin
    Kou, Weili
    Ye, Huichun
    Lin, Qinghuo
    Doughty, Russell
    Dong, Jinwei
    Ma, Jun
    Luo, Wei
    Xie, Guishui
    Cao, Jianhua
    REMOTE SENSING, 2018, 10 (08):
  • [4] Analysis of the Surface Urban Heat Island Changes according to Urbanization in Sejong City Using Landsat Imagery
    Lee, Kyungil
    Lim, Chul-Hee
    KOREAN JOURNAL OF REMOTE SENSING, 2022, 38 (03) : 225 - 236
  • [5] Urban surface temperature behaviour and heat island effect in a tropical planned city
    Ahmed, Adeb Qaid
    Ossen, Dilshan Remaz
    Jamei, Elmira
    Abd Manaf, Norhashima
    Said, Ismail
    Ahmad, Mohd Hamdan
    THEORETICAL AND APPLIED CLIMATOLOGY, 2015, 119 (3-4) : 493 - 514
  • [6] Urban surface temperature behaviour and heat island effect in a tropical planned city
    Adeb Qaid Ahmed
    Dilshan Remaz Ossen
    Elmira Jamei
    Norhashima Abd Manaf
    Ismail Said
    Mohd Hamdan Ahmad
    Theoretical and Applied Climatology, 2015, 119 : 493 - 514
  • [7] MAPPING THE SURFACE URBAN HEAT ISLAND EFFECT USING THE LANDSAT SURFACE TEMPERATURE PRODUCT
    Mueller, Chase
    Hussain, Reza
    Xian, George
    Shi, Hua
    Arab, Saeed
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 441 - 444
  • [8] Surface urban heat island analysis based on local climate zones using ECOSTRESS and Landsat data: A case study of Valencia city (Spain)
    Wei, Letian
    Sobrino, Jose A.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 130
  • [9] Study on Heat Island Effect in Urban Area of Tianjin Using Landsat Data
    Du, Zitao
    Hao, Lin
    Cao, Yiding
    Du, Chuang
    Yan, Shuqiang
    Yang, Xiaoming
    INTERNATIONAL CONFERENCE ON REMOTE SENSING AND WIRELESS COMMUNICATIONS (RSWC 2014), 2014, : 146 - 151
  • [10] Urban heat island effect over Delhi NCR using LANDSAT™ data
    Srivastava, Mohit Raja
    Satyaprakash
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2020, 22 (03) : 272 - 294