Land surface temperature shaped by urban fractions in megacity region

Large areas of cropland and natural vegetation have been replaced by impervious surfaces during the recent rapid urbanization in China, which has resulted in intensified urban heat island effects and modified local or regional warming trends. However, it is unclear how urban expansion contributes to local temperature change. In this study, we investigated the relationship between land surface temperature (LST) change and the increase of urban land signals. The megacity of Tianjin was chosen for the case study because it is representative of the urbanization process in northern China. A combined analysis of LST and urban land information was conducted based on an urban–rural transect derived from Landsat 8 Thermal Infrared Sensor (TIRS), Terra Moderate Resolution Imaging Spectrometer (MODIS), and QuickBird images. The results indicated that the density of urban land signals has intensified within a 1-km2 grid in the urban center with an impervious land fraction >60 %. However, the construction on urban land is quite different with low-/mid-rise buildings outnumbering high-rise buildings in the urban–rural transect. Based on a statistical moving window analysis, positive correlation (R2 > 0.9) is found between LST and urban land signals. Surface temperature change (ΔLST) increases by 0.062 °C, which was probably caused by the 1 % increase of urbanized land (ΔIF) in this case region.

[1]  P. Ciais,et al.  Response to Comment on ``Surface Urban Heat Island Across 419 Global Big Cities'' , 2012 .

[2]  Seok Soon Park,et al.  Evaluation of the Surface Temperature Variation With Surface Settings on the Urban Heat Island in Seoul, Korea, Using Landsat-7 ETM+ and SPOT , 2009, IEEE Geoscience and Remote Sensing Letters.

[3]  Thomas Blaschke,et al.  Examining Urban Heat Island Relations to Land Use and Air Pollution: Multiple Endmember Spectral Mixture Analysis for Thermal Remote Sensing , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[4]  M. Jacobson,et al.  Effects of Urban Surfaces and White Roofs on Global and Regional Climate , 2012 .

[5]  N. Nicholls Continued anomalous warming in Australia , 2003 .

[6]  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 .

[7]  A. Rosenfeld,et al.  Practical issues for using solar-reflective materials to mitigate urban heat islands , 1998 .

[8]  Kai Wu,et al.  Urbanization and heterogeneous surface warming in eastern China , 2013 .

[9]  Qihao Weng,et al.  Identification and analysis of urban surface temperature patterns in Greater Athens, Greece, using MODIS imagery , 2011 .

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

[11]  David J. Sailor,et al.  Mitigation of urban heat islands: materials, utility programs, updates , 1995 .

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

[13]  Antonio J. Plaza,et al.  Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[14]  David J. Sailor,et al.  Simulated Urban Climate Response to Modifications in Surface Albedo and Vegetative Cover , 1995 .

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

[16]  C. Sarrata,et al.  Impact of urban heat island on regional atmospheric pollution , 2006 .

[17]  P. Marpu,et al.  Temperature-land cover interactions: The inversion of urban heat island phenomenon in desert city areas , 2013 .

[18]  A. Rosenfeld,et al.  Global cooling: increasing world-wide urban albedos to offset CO2 , 2009 .

[19]  C. Cartalis,et al.  Downscaling AVHRR land surface temperatures for improved surface urban heat island intensity estimation , 2009 .

[20]  Noelia Liliana Alchapar,et al.  Classification of building materials used in the urban envelopes according to their capacity for mitigation of the urban heat island in semiarid zones , 2014 .

[21]  Xinjun Wang,et al.  Remote sensing evaluation of urban heat island and its spatial pattern of the Shanghai metropolitan area, China , 2009 .

[22]  J. A. Voogta,et al.  Thermal remote sensing of urban climates , 2003 .

[23]  Xuchao Yang,et al.  Observed surface warming induced by urbanization in east China , 2011 .

[24]  Martha C. Anderson,et al.  Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .

[25]  Qihao Weng Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. , 2002, Journal of environmental management.

[26]  Impact of urban expansion on regional temperature change in the Yangtze River Delta , 2007 .

[27]  Ki-Hyun Kim,et al.  A review on human health perspective of air pollution with respect to allergies and asthma. , 2013, Environment international.

[28]  A. Holtslag,et al.  Spatial variability of the Rotterdam urban heat island as influenced by urban land use , 2014 .

[29]  Offer Rozenstein,et al.  Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm , 2014, Sensors.

[30]  J. Marshall Shepherd,et al.  Inclusion of Urban Landscape in a Climate Model: How Can Satellite Data Help? , 2005 .

[31]  Taejung Kim,et al.  Automatic building height extraction by volumetric shadow analysis of monoscopic imagery , 2013 .

[32]  Giles M. Foody,et al.  Spatial non-stationarity in the relationships between land cover and surface temperature in an urban heat island and its impacts on thermally sensitive populations , 2012 .

[33]  Jim W Hall,et al.  An evaluation of thermal Earth observation for characterizing urban heatwave event dynamics using the urban heat island intensity metric , 2013 .

[34]  D. Yin,et al.  Impact of urban expansion on regional temperature change in the Yangtze River Delta , 2007 .

[35]  Katsuhito Yamaguchi,et al.  The Influence Of Urban Canopy Configuration On Urban Albedo , 2001 .

[36]  Xiaoma Li,et al.  Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures , 2013, Landscape Ecology.

[37]  Nan Li,et al.  Assessment of human exposure level to PM10 in China , 2013 .

[38]  Wen-jie Dong,et al.  Impact of land surface forcings on mean and extreme temperature in eastern China , 2010 .

[39]  B. Liu,et al.  A 2010 update of National Land Use/Cover Database of China at 1:100000 scale using medium spatial resolution satellite images , 2014 .

[40]  Z. Wan New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products , 2008 .

[41]  G. Jia,et al.  Detecting urban warming signals in climate records , 2013, Advances in Atmospheric Sciences.

[42]  Fei Wang,et al.  An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data , 2015, Remote. Sens..

[43]  G. Jia,et al.  Influence of land use change on urban heat island derived from multi‐sensor data , 2010 .