Assessing Long-Term Thermal Environment Change with Landsat Time-Series Data in a Rapidly Urbanizing City in China

被引:1
|
作者
Huang, Conghong [1 ,2 ]
Tang, Yan [1 ]
Wu, Yiyang [1 ]
Tao, Yu [1 ,2 ]
Xu, Muwu [3 ]
Xu, Nan [4 ]
Li, Mingze [5 ]
Liu, Xiaodan [1 ]
Xi, Henghui [1 ]
Ou, Weixin [1 ,2 ,6 ]
机构
[1] Nanjing Agr Univ, Coll Land Management, Nanjing 210095, Peoples R China
[2] Res Ctr Rural Land Resources Use & Consolidat, Natl & Local Joint Engn, Nanjing 210095, Peoples R China
[3] SUNY Buffalo, Sch Publ Hlth & Hlth Profess, Dept Epidemiol & Environm Hlth, Buffalo, NY 14214 USA
[4] Hohai Univ, Sch Geog & Remote Sensing, Nanjing 210098, Peoples R China
[5] Nanjing Agr Univ, Coll Hort, Nanjing 210095, Peoples R China
[6] China Resources Environm & Dev Acad, Nanjing 210095, Peoples R China
关键词
urban thermal environment; urban heat island; long-term change; Landsat; heat island exposure; HEAT-ISLAND; SURFACE TEMPERATURE; RESOLUTION; LOCATIONS; PHOENIX; COVER; GREEN;
D O I
10.3390/land13020177
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The studies of urban heat islands or urban thermal environments have attracted extensive attention, although there is still a lack of research focused on the analysis of long-term urban thermal environment change with fine spatial resolution and actual exposure of urban residents. Taking the rapidly urbanizing city of Nanjing, China as an example, this study utilizes the Landsat-derived daytime time-series land surface temperature data to comprehensively assess the city's long-term (30-year) urban thermal environment change. The results showed that: (1) The overall surface urban heat island intensity showed a noticeable trend of first increasing and then decreasing from 1990 to 2020. (2) It exhibited the detailed spatial distribution of urban heat/cold islands within the urban center boundary. The percentage of surface urban heat islands was 77.01% in 1990, and it increased to 85.79% in 2010 and then decreased to 80.53% in 2020. (3) More than 65% of the urban residents have lived in areas with a surface urban heat island intensity greater than 3.0 degrees C, which also showed a trend of first increasing and then decreasing from 1990 to 2020. The methods and findings of this study can provide a reference for other studies on urban thermal environment changes and urban sustainable development.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Assessing degradation of lake wetlands in Bashang Plateau, China based on long-term time series Landsat images using wetland degradation index
    Zhu, Lijuan
    Ke, Yinghai
    Hong, Jianming
    Zhang, Yuhu
    Pan, Yun
    [J]. ECOLOGICAL INDICATORS, 2022, 139
  • [32] RESEARCH ON THE LAKES CHANGE IN EJIN ALLUVIAL FAN FROM LONG TIME-SERIES LANDSAT IMAGES
    Zhang, Lu
    Guo, Huadong
    Wang, Xinyuan
    Li, Xinwu
    Lu, Linlin
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 374 - 377
  • [33] Time-Series Data Analysis of Long-Term Home Blood Pressure Measurements in Relation to Lifestyle
    Takeuchi, Hiroshi
    Kodama, Naoki
    Takahashi, Shingo
    [J]. MEDINFO 2015: EHEALTH-ENABLED HEALTH, 2015, 216 : 751 - 755
  • [34] Improved long-term time-series predictions of total blood use data from England
    Nandi, Anita K.
    Roberts, David J.
    Nandi, Asoke K.
    [J]. TRANSFUSION, 2020, 60 (10) : 2307 - 2318
  • [35] Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data
    Vogelmann, James E.
    Gallant, Alisa L.
    Shi, Hua
    Zhu, Zhe
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 185 : 258 - 270
  • [36] Effect of spatial image support in detecting long-term vegetation change from satellite time-series
    Maynard, Jonathan J.
    Karl, Jason W.
    Browning, Dawn M.
    [J]. LANDSCAPE ECOLOGY, 2016, 31 (09) : 2045 - 2062
  • [37] Effect of spatial image support in detecting long-term vegetation change from satellite time-series
    Jonathan J. Maynard
    Jason W. Karl
    Dawn M. Browning
    [J]. Landscape Ecology, 2016, 31 : 2045 - 2062
  • [38] DETECTION OF FOREST DISTURBANCE IN THE GREATER HINGGAN MOUNTAIN OF CHINA BASED ON LANDSAT TIME-SERIES DATA
    Chen, Wei
    Sakai, Tetsuro
    Cao, Chunxiang
    Moriya, Kazuyuki
    Koyama, Lina
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 7232 - 7235
  • [40] Time-series analysis of long-term photometry of BM Canum Venaticorum
    Siltala, L.
    Jetsu, L.
    Hackman, T.
    Henry, G. W.
    Immonen, L.
    Kajatkari, P.
    Lankinen, J.
    Lehtinen, J.
    Monira, S.
    Nikbakhsh, S.
    Viitanen, A.
    Viuho, J.
    Willamo, T.
    [J]. ASTRONOMISCHE NACHRICHTEN, 2017, 338 (04) : 453 - 463