Analysis of Surface Thermal Patterns in Relation to Urban Structure Types: A Case Study for the City of Munich

Scientists have reached to a large extent agreement on climate warming for the coming decades. This will especially have immense impact on cities which show in general a significantly higher temperature compared to rural surroundings, e.g. due to high percentage of impervious surfaces. This study shows capabilities of airborne and spaceborne thermal remotely sensed data to derive and analyze land surface temperatures (LST). Dependencies of LST to urban structure types (UST) with respect to their location within the city are analyzed. Results prove distinct correlations between LST and vegetation fraction as well as percentage of impervious surfaces. Beyond this, different USTs prove influences on LST. Last but not least, a general decrease of LST with increasing distance to the city center is confirmed for the city of Munich. However, the USTs superimpose this trend and have a significant influence on the local LST.

[1]  José A. Sobrino,et al.  Impact of spatial resolution and satellite overpass time on evaluation of the surface urban heat island effects , 2012 .

[2]  Hermann Kaufmann,et al.  Potential of Hyperspectral Remote Sensing for Analyzing the Urban Environment , 2011 .

[3]  G. D. Jenerette,et al.  Regional relationships between surface temperature, vegetation, and human settlement in a rapidly urbanizing ecosystem , 2007, Landscape Ecology.

[4]  W. Stefanov,et al.  Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center , 2005 .

[5]  H. Taubenböck,et al.  The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data , 2014 .

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

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

[8]  M. Roth,et al.  Diurnal and weekly variation of anthropogenic heat emissions in a tropical city, Singapore , 2012 .

[9]  W. Heldens Use of airborne hyperspectral data and height information to support urban micro-climate characterisation , 2010 .

[10]  John F. Mustard,et al.  How much is built? Quantifying and interpreting patterns of built space from different data sources , 2011 .

[11]  M. Herold,et al.  Spatial Metrics and Image Texture for Mapping Urban Land Use , 2003 .

[12]  Eberhard Parlow,et al.  Modelling the ground heat flux of an urban area using remote sensing data , 2007 .

[13]  Qihao Weng,et al.  Modeling Urban Heat Islands and Their Relationship With Impervious Surface and Vegetation Abundance by Using ASTER Images , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[14]  T. Oke,et al.  Local Climate Zones for Urban Temperature Studies , 2012 .

[15]  Thomas Esch,et al.  Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey , 2011, Remote. Sens..

[16]  Hannes Taubenböck,et al.  An automated and adaptable approach for characterizing and partitioning cities into urban structure types , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[17]  Qihao Weng,et al.  Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends , 2012 .

[18]  Yong Xue,et al.  Monitoring of urban heat island effect in Beijing combining ASTER and TM data , 2011 .

[19]  Benjamin Bechtel Multisensoral remote sensing for the microclimatic characterisation and classification of urban structures , 2011 .

[20]  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.

[21]  Jay Gao,et al.  Use of normalized difference built-up index in automatically mapping urban areas from TM imagery , 2003 .

[22]  Ingegärd Eliasson,et al.  Wind fields and turbulence statistics in an urban street canyon , 2004 .

[23]  W. Yue,et al.  The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data , 2007 .

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

[25]  L. Bounoua,et al.  Remote sensing of the urban heat island effect across biomes in the continental USA , 2010 .

[26]  Hannes Taubenböck,et al.  Quantification of urban structure on building block level utilizing multisensoral remote sensing data , 2010, Remote Sensing.

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

[28]  F. Scholten,et al.  HRSC-AX - high-resolution orthoimages and digital surface models for urban regions , 2003, 2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas.

[29]  Y. Tang,et al.  An integrated GIS-spatial analysis of Atlanta's urban structure and urban space , 2007 .

[30]  S. Pauleit,et al.  Assessing the environmental performance of land cover types for urban planning , 2000 .

[31]  Lee Chapman,et al.  Remote sensing land surface temperature for meteorology and climatology: a review , 2011 .

[32]  I. D. Watson,et al.  Graphical estimation of sky view-factors in urban environments , 1987 .

[33]  Thomas Houet,et al.  Mapping urban climate zones and quantifying climate behaviors--an application on Toulouse urban area (France). , 2011, Environmental pollution.

[34]  Martino Pesaresi,et al.  A Robust Built-Up Area Presence Index by Anisotropic Rotation-Invariant Textural Measure , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[36]  Akinaru Iino,et al.  Analysis of the influence of urban form and materials on sensible heat flux — a case study of Japan's largest housing development "Tama New Town" , 1999 .

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

[38]  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.

[39]  Claus Rinner,et al.  Toronto's Urban Heat Island - Exploring the Relationship between Land Use and Surface Temperature , 2011, Remote. Sens..

[40]  M. Hart,et al.  Quantifying the influence of land-use and surface characteristics on spatial variability in the urban heat island , 2009 .

[41]  Xiaojun Yang,et al.  Urban remote sensing : monitoring, synthesis and modeling in the urban environment , 2011 .

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

[43]  Hua Zheng,et al.  Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. , 2007, Journal of environmental sciences.

[44]  Dieter Scherer,et al.  Automated classification of planning objectives for the consideration of climate and air quality in urban and regional planning for the example of the region of Basel/Switzerland , 2001 .

[45]  Qihao Weng,et al.  Medium Spatial Resolution Satellite Imagery for Estimating and Mapping Urban Impervious Surfaces Using LSMA and ANN , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[46]  János Unger,et al.  The relationship between built‐up areas and the spatial development of the mean maximum urban heat island in Debrecen, Hungary , 2005 .

[47]  T. Esch,et al.  Urban structure type characterization using hyperspectral remote sensing and height information , 2012 .

[48]  Ingegärd Eliasson,et al.  Surface heating in relation to air temperature, wind and turbulence in an urban street canyon , 2007 .

[49]  Thomas Esch,et al.  Object-based image information fusion using multisensor earth observation data over urban areas , 2011 .

[50]  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 .

[51]  Roger L. King,et al.  Interpretation of the relationship between skin temperature and vegetation fraction: Effect of subpixel soil temperature variability , 2008 .

[52]  Andreas Müller,et al.  Ortho Image Production within an Automatic Processing Chain for hyperspectral Airborne Scanner ARES , 2005 .

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