Spatial Distribution patterns of the Urban Heat Island Based on Remote Sensing Images: a Case Study in Beijing, China

被引:3
|
作者
Gong A-Du [1 ]
Chen Yun-Hao [1 ]
Li Jing [1 ]
Gong Hui-Li [2 ]
Li Xiao-Juan [2 ]
机构
[1] Beijing Normal Univ, Coll Resources & Technol, Minist Educ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China
[2] Capital Normal Univ, Key Lab Informat Acquisit & Applicat 3D, Minist Educ, Beijing 100037, Peoples R China
关键词
Urban eat island (UHI); Land Surface; temperature (LST); Atmospheric correction; Landsat TM; single-window algorithm; Beijing;
D O I
10.1109/IGARSS.2006.600
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this paper, according to atmospheric observation data, atmospheric correction was firstly done by MODTRAN software to thermal-infrared images of Landsat-TM in 1997 and 2004 in Beijing. Then on the basis of atmospheric correction, a single-window algorithm was used to retrieve the land surface temperature (LST) of urban district and its surrounding area with the help of RS and GIS technology. The results showed that there was a clear urban heat island (UHI) in Beijing, and the LST of urban center was higher than that of suburb area. In addition, there was a clear intensification trend of UHI and the factitious impacts produced a more contribution to UHI in Beijing with the quick expansion of urban area and urban population.
引用
收藏
页码:2321 / +
页数:2
相关论文
共 50 条
  • [1] The Investigation of Urbanization and Urban Heat Island in Beijing Based on Remote Sensing
    Chen, Wei
    Zhang, Yao
    Gao, Weijun
    Zhou, Dian
    [J]. URBAN PLANNING AND ARCHITECTURAL DESIGN FOR SUSTAINABLE DEVELOPMENT (UPADSD), 2016, 216 : 141 - 150
  • [2] Study of Urban Heat Island Based on Remote Sensing in Beijing-Capital Zone
    Meng, Dan
    Gong, Huili
    Li, Xiaojuan
    Zhao, Wenji
    Gong, Zhaoning
    Zhu, Lin
    Hu, Deyong
    [J]. 2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 588 - +
  • [3] Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran
    Shirani-Bidabadi, Niloufar
    Nasrabadi, Touraj
    Faryadi, Shahrzad
    Larijani, Adnan
    Roodposhti, Majid Shadman
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2019, 45 : 686 - 692
  • [4] Study on urban heat island of Lianyungang based on remote sensing
    Li, Haiying
    Peng, Hongchun
    Wu, Yueru
    Nie, Junling
    Gu, Yanjun
    [J]. EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS II, 2011, 8181
  • [5] Monitoring the Near-surface Urban Heat Island in Beijing, China by Satellite Remote Sensing
    Xu, Yongming
    Liu, Yonghong
    [J]. GEOGRAPHICAL RESEARCH, 2015, 53 (01) : 16 - 25
  • [6] Influence of Beijing spatial morphology on the distribution of urban heat island
    Liu, Yonghong
    Xu, Yongming
    Zhang, Fangmin
    Shu, Wenjun
    [J]. Dili Xuebao/Acta Geographica Sinica, 2021, 76 (07): : 1662 - 1679
  • [7] Integration of Remote Sensing and Big Data to Study Spatial Distribution of Urban Heat Island for Cities with Different Terrain
    Shah, P. B.
    Patel, C. R.
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING, 2023, 36 (01): : 71 - 77
  • [8] Research On Seasonal Change Of Beijing Urban Heat Island By Satellite Remote Sensing
    Hu Jiacong
    Wei Xin
    [J]. EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3, 2011, : 473 - 476
  • [9] Combined Effects of the Surface Urban Heat Island with Landscape Composition and Configuration Based on Remote Sensing: A Case Study of Shanghai, China
    Du, Hongyu
    Ai, Jinquan
    Cai, Yongli
    Jiang, Hong
    Liu, Pudong
    [J]. SUSTAINABILITY, 2019, 11 (10):
  • [10] Evolving urban spatial structure and commuting patterns: A case study of Beijing, China
    Hu, Lingqian
    Sun, Tieshan
    Wang, Lanlan
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2018, 59 : 11 - 22