• DocumentCode
    2320964
  • Title

    The precise monitoring of Beijing thermal behaviour

  • Author

    Liu-sheng, Han ; Lin, Sun ; Yao-ting, Wang

  • Author_Institution
    Dept. of Remote Sensing Sci. & Technol., Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper uses the temperature product of Modis by the Terra satellite. Isograms, anomaly value and indirect method are applied to analyze the daily variation, seasonal variation and annual variation of Beijing heat field. The results show that isograms are tidier in the evening compared with the day. And the temperature gradient is diminishing from the city center to the edge of urban areas. The heat island effect is the strongest during the day in the summer of all seasons during the day and night. The heat island in the evening of the four seasons is as obvious as the day in the spring and fall. The increasing temperature, the enhancing intensity and the expanding area of the heat island are the current situation of Beijing which are the result of the multiplying of the population. Because of the limited data, further studies are needed to study the seasonal variation and annual variation of Beijing.
  • Keywords
    atmospheric radiation; atmospheric temperature; remote sensing; sunlight; Beijing; China; Isograms; MODIS satellite; Terra satellite; annual temperature variation; anomaly value; heat island effect; indirect method; seasonal temperature variation; solar radiation; temperature gradient; thermal behaviour monitoring; urban areas; Cities and towns; Educational institutions; Infrared heating; MODIS; Meteorology; Remote monitoring; Satellites; Sun; Temperature distribution; Thermal pollution; MODIS temperature product; annual variation; anomaly value; daily variation; isograms; seasonal variation; thermal field intensity spatial distribution; urban heat island;
  • 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.2009.5137617
  • Filename
    5137617