• DocumentCode
    2441578
  • Title

    Use of Landsat TM/ETM+ data to analyze urban heat island and its relationship with land use/cover change

  • Author

    Lee, Long ; Chen, Longqian ; Wang, Xinxin ; Zhao, Jianlin

  • Author_Institution
    Jiangsu Key Lab. of Resources & Environ., Inf. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    922
  • Lastpage
    927
  • Abstract
    Rapid urbanization has significant impacts on weather and climate change, and urban heat island (UHI) is one of the most important impacts, causing central urban areas to be obviously warmer than their nearby rural areas. Remote sensing provides immense amounts of data for the study on urban heat island. Xuzhou is a famous industrial city in China experiencing fast urbanization since 1978. In this paper, Landsat TM/ETM+ images over Xuzhou from 1994 to 2007 were utilized to classify land use/cover types by decision tree classifier and retrieve brightness temperatures. Results indicated that the intensity of urban heat island was strengthened with the sprawl of urban areas. To explore and quantitatively analyze the relationship between urban heat island and land use/cover change, mathematical models were built using four indices, Normalized Difference Vegetation Index, Normalized Difference Water Index (NDWI), Normalized Difference Built-up Index (NDBI), and Normalized Difference Bareness Index (NDBaI).
  • Keywords
    atmospheric temperature; environmental science computing; geophysical signal processing; pattern classification; terrain mapping; thermal pollution; vegetation mapping; AD 1994 to 2007; China; Landsat ETM+ data; Landsat TM data; NDBI; NDBaI; NDVI; NDWI; UHI; Xuzhou city; brightness temperature; decision tree classifier; land cover change; land cover type classification; land use change; land use type classification; normalized difference bareness index; normalized difference built-up index; normalized difference vegetation index; normalized difference water index; remote sensing; urban area sprawl; urban heat island; Brightness temperature; Earth; Land surface; Land surface temperature; Remote sensing; Satellites; Vegetation mapping; Land use/cover change (LUCC); Landsat TM/ETM+; NDVI, NDWI, NDBI and NDBaI; Urban heat island (UHI); Xuzhou;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964429
  • Filename
    5964429