• DocumentCode
    124641
  • Title

    Seasonal dynamics of the relationship between landscape pattern and land surface temperature in a coastal city

  • Author

    Xiaofeng Zhao ; Yanchuang Zhao ; Da Kuang

  • Author_Institution
    Key Lab. of Urban Environ. & Health, Inst. of Urban Environ., Xiamen, China
  • fYear
    2014
  • fDate
    11-14 June 2014
  • Firstpage
    418
  • Lastpage
    422
  • Abstract
    The effects of land cover on LST have been found varying with season. Yet the seasonal dynamics of the relationship between metrics measured landscape pattern and LST has seldom been investigated. This study used a seasonal series of Landsat TM/ETM+ images in the year 2002 to examine the landscape pattern-LST relationship in Xiamen city. Landscape metrics and partial Pearson correlation were employed. The results showed that all the bivariate correlations between landscape metrics and LST changed with season to different extents. There were 7 consistently significant metrics across seasons for the year in Pearson correlation. All the configuration metrics lost their consistent significance in correlations with LST across seasons after partial Pearson correlation. Composition metrics of forest (PLAND3) was found to be the effective metric affecting LST consistently across seasons in the year. And the strongest bivariate correlation of PLAND3 happened in autumn for the study years.
  • Keywords
    land cover; land surface temperature; vegetation; AD 2002; LST changed; LST correlation; Landsat TM-ETM+ image seasonal series; PLAND3 strongest bivariate correlation; Xiamen city; autumn season; bivariate correlation; coastal city; configuration metric; effective LST metric; forest composition metric; land cover effect; land surface temperature; landscape metric; landscape pattern-LST relationship; partial Pearson correlation; seasonal dynamic; Cities and towns; Earth; Image resolution; Indexes; Remote sensing; Satellites; Springs; land surface temperature; landscape pattern; seasonal dynamics; urban heat island;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-5757-6
  • Type

    conf

  • DOI
    10.1109/EORSA.2014.6927925
  • Filename
    6927925