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

  • Wieke Heldens
  • Hannes Taubenböck
  • Thomas Esch
  • Uta Heiden
  • Michael Wurm
Chapter
First Online:
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 17)

Abstract

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.

Keywords

Land Surface Temperature Urban Heat Island Impervious Surface High Rise Building Green Roof 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgements

The authors wish to thank Rolf Städter (DLR) for pre-processing the Daedalus data and Rolf Annecke of the Referat für Gesundheit und Umwelt (Department of Health and Environment) of the Municipality of Munich for providing the urban structure type classification of Munich. The HRSC height data was kindly provided by DLR Berlin. Part of this research was carried out with funding of the German Ministry of Education and Research (BMBF) in the context of the project “REFINA Flächenbarometer” (funding no. 0330737A). The comments of the reviewers greatly helped to improve the manuscript.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Wieke Heldens
    • 1
  • Hannes Taubenböck
    • 1
  • Thomas Esch
    • 1
  • Uta Heiden
    • 1
  • Michael Wurm
    • 1
  1. 1.German Remote Sensing Data Center (DFD), Earth Observation Center (EOC), German Aerospace Center (DLR)OberpfaffenhofenGermany

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