• DocumentCode
    2321943
  • Title

    Spatial pattern of thermal and ecological environment in Shanghai

  • Author

    Linli, Cui ; Hongmei, Zhou ; Yinming, Yang ; Jun, Shi ; Jianguo, Tan

  • Author_Institution
    Shanghai Meteorol. Bur., Center for Satellite Remote Sensing & Applic., Shanghai
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Shanghai has experienced rapid urbanization over the past three decades. With the rapid development and expansion of city, the physical characteristics (such as land cover types, surface albedo and so on) and property of the urban underlying surface are undergoing substantially changes, which significantly impact the climate and ecological environment. Based on the Landsat TM remote sensing imagery, with the remote sensing (RS) and geographic information system (GIS) spatial analysis techniques, spatial pattern of land surface temperature (LST), land use type, vegetation coverage, surface albedo and the relationship between LST and vegetation was analyzed in this study. The results indicate that LST in urban and suburban areas is higher than that in exurban areas of Shanghai. The dominant land use type in urban areas is residential land, but in exurban areas, farmland is the main land use type. From urban to exurban areas, the vegetation coverage and surface albedo increase gradually. In urban, suburban and exurban areas, the mean vegetation coverage is 0.01, 0.078 and 0.126 respectively, and the mean surface albedo is 0.067, 0.083 and 0.189 respectively. The distribution of LST is well corresponding with the land use types in Shanghai, with residential areas and buildings have higher LST. LST possesses a negative correlation with the vegetation coverage and normalized difference vegetation index (NDVI) for all land cover types, and in the urban areas, the low vegetation coverage is the important contributor of the higher LST. The change in urban albedo has significant impact on the evolution of LST.
  • Keywords
    albedo; geographic information systems; geophysics computing; land surface temperature; remote sensing; vegetation; China; GIS spatial analysis techniques; Landsat TM remote sensing imagery; NDVI; Shanghai; climate; ecological environment; farmland; geographic information system; land cover types; land surface temperature; land use type; normalized difference vegetation index; physical characteristics; spatial pattern; surface albedo; urbanization; vegetation coverage; Cities and towns; Geographic Information Systems; Image analysis; Information analysis; Land surface; Land surface temperature; Pattern analysis; Remote sensing; Urban areas; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137669
  • Filename
    5137669