Spatial and Temporal Dynamics of Urban Heat Island and Their Relationship with Land Cover Changes in Urbanization Process: A Case Study in Suzhou, China

One of the significant environmental consequences of urbanization is the urban heat island (UHI). In this paper, Landsat TM images of 1986 and 2004 were utilized to study the spatial and temporal variations of heat island and their relationships with land cover changes in Suzhou, a Chinese city which experienced rapid urbanization in past decades. Land cover classifications were derived to quantify urban expansions and brightness temperatures were computed from the TM thermal data to express the urban thermal environment. The spatial distributions of surface temperature indicated that heat islands had been largely broadened and showed good agreements with urban expansion. Temperature statistics of main land cover types showed that built-up and bare land had higher surface temperatures than natural land covers, implying the warming effect caused by the urbanization with natural landscape being replaced by urban areas. In addition, the spatial detail distributions of surface temperature were compared with the distribution of land cover by means of GIS buffer analysis. Results show remarkable show good correspondence between heat island variations with urban area expansions.

[1]  B. Markham,et al.  Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges , 2003, IEEE Trans. Geosci. Remote. Sens..

[2]  Jeffrey S. Wilson,et al.  Evaluating environmental influences of zoning in urban ecosystems with remote sensing , 2003 .

[3]  Inakwu O. A. Odeh,et al.  Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis , 2009, Int. J. Appl. Earth Obs. Geoinformation.

[4]  D. Quattrochi,et al.  Land-Use and Land-Cover Change, Urban Heat Island Phenomenon, and Health Implications: A Remote Sensing Approach , 2003 .

[5]  B. Dousset,et al.  Satellite multi-sensor data analysis of urban surface temperatures and landcover , 2003 .

[6]  J. D. Tarpley,et al.  Assessment of urban heat islands: a satellite perspective , 1995 .

[7]  A. Arnfield Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .

[8]  Y. Yasuoka,et al.  Assessment with satellite data of the urban heat island effects in Asian mega cities , 2006 .

[9]  A. Yeh,et al.  Economic Development and Agricultural Land Loss in the Pearl River Delta , 1997 .

[10]  Anthony J. Brazel,et al.  Monitoring Intraurban temperature patterns and associated land cover in phoenix, Arizona using Landsat thermal data , 1996 .

[11]  T. Carlson,et al.  An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization , 1998 .

[12]  M. Bauer,et al.  Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery , 2007 .

[13]  N. Wong,et al.  The influence of land use on the urban heat island in Singapore , 2007 .

[14]  D. Lu,et al.  Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .

[15]  J. D. Tarpley,et al.  The use of NOAA AVHRR data for assessment of the urban heat island effect , 1993 .

[16]  Mao Zheng-yuan,et al.  A STUDY ON URBAN THERMAL FIELD IN SUMMER BASED ON SATELLITE REMOTE SENSING , 2011 .

[17]  Qihao Weng A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China , 2001 .

[18]  Robert C. Balling,et al.  High-resolution surface temperature patterns in a complex urban terrain , 1988 .

[19]  S. Goward THERMAL BEHAVIOR OF URBAN LANDSCAPES AND THE URBAN HEAT ISLAND , 1981 .

[20]  A. Yeh,et al.  Economic Development and Agricultural Land Loss in the Pearl River Delta, China , 1999 .

[21]  W. Emery,et al.  Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology , 1989 .

[22]  George Xian,et al.  An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data , 2006 .

[23]  Xiaoling Chen,et al.  Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes , 2006 .

[24]  P. Longley,et al.  Remote Sensing and Urban Analysis , 2001 .

[25]  C. Cartalis,et al.  Daytime urban heat islands from Landsat ETM+ and Corine land cover data: An application to major cities in Greece , 2007 .

[26]  J. Qi,et al.  Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization , 2009 .

[27]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[28]  Ding Shengyan Influence of Land Cover Change on Land Surface Temperature in Zhujiang Delta , 2005 .

[29]  R. Tateishi,et al.  Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing , 2006 .

[30]  D. Streutker,et al.  Satellite-measured growth of the urban heat island of Houston, Texas , 2003 .

[31]  R. C. Larson,et al.  The influence of surface characteristics on urban radiant temperatures , 1997 .

[32]  T. Oke,et al.  Thermal remote sensing of urban climates , 2003 .

[33]  K. Gallo,et al.  Assessment of urban heat Islands: A multi‐sensor perspective for the Dallas‐Ft. worth, USA region , 1998 .

[34]  Qihao Weng Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends , 2009 .

[35]  D. Lu,et al.  Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and biophysical descriptors in Indianapolis, Indiana, USA , 2006 .

[36]  T. Oke The Heat Island of the Urban Boundary Layer: Characteristics, Causes and Effects , 1995 .

[37]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[38]  P. Gong,et al.  Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval , 2006 .

[39]  H. Fischer,et al.  Land surface temperature and emissivity estimation from passive sensor data: Theory and practice-current trends , 2002 .

[40]  J. Cermák Wind climate in cities , 1995 .