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Analysis of Albedo Influence on Surface Urban Heat Island by Spaceborne Detection and Airborne Thermography

  • Giorgio BaldinelliEmail author
  • Stefania Bonafoni
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)

Abstract

Urban environment overheating is gaining growing importance for its consequences on citizens comfort and energy consumption. The surface albedo represents one of the most influencing parameters on the local temperature, therefore, its punctual and large scale detection could give a significant contribution to the urban microclimate assessment. A comparison of satellite data with airborne infrared thermography images is proposed for the city of Florence, starting from temperature analyses and moving to surface albedo assessments. It is shown that, despite the aircraft surveys higher resolution, their area covering limitation, sporadic availability, and high cost make the satellite retrieved data competitive, considering that the current 30 m pixel size of the Landsat images seems to be already suitable for the construction material classification.

Keywords

Albedo Urban heat island Infrared thermography Satellite observations 

References

  1. 1.
    Tan, J., Zheng, Y., Tang, X., Guo, C., Li, L., Song, G., Zhen, X., Yuan, D., Kalkstein, A.J., Li, F., Chen, H.: The heat island and its impact on heat waves and human health in Shanghai. International Journal of Biometeorology 54(1), 75–84 (2010)CrossRefGoogle Scholar
  2. 2.
    Chander, G., Markham, B.L., Helder, D.L.: Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113, 893–903 (2009)CrossRefGoogle Scholar
  3. 3.
    Chavez, P.S.: Image-based atmospheric correction—revisited and improved. Photogrammetric Engineering and Remote Sensing 62, 1025–1036 (1996)Google Scholar
  4. 4.
    National Aeronautics and Space Administration. http://atmcorr.gsfc.nasa.gov
  5. 5.
    Stathopoulou, M., Cartalis, C.: Downscaling AVHRR land surface temperatures for improved surface urban heat island intensity estimation. Remote Sens. Environ. 113(15), 2592–2605 (2009)CrossRefGoogle Scholar
  6. 6.
    Voogt, J.A.: Urban Heat Island: Hotter Cities - America Institute of Biological Sciences (2004). http://www.actionbioscience.org/environment/voogt.html
  7. 7.
    Liang, S.: Narrowband to broadband conversions of land surface albedo – I Algorithms. Remote Sens. Environ. 76(2), 213–238 (2000)CrossRefGoogle Scholar
  8. 8.
    Schaepman-Strub, G., Martonchik, J., Schaaf, C., Schaepman, M.: What’s in a satellite albedo product? In: IGARSS 2006, pp. 2848–2851. IEEE Press, Denver (2006)Google Scholar
  9. 9.
    Santamouris, M., Synnefa, A., Karlessi, T.: Using advanced cool materials in the urban built environment to mitigate heat islands and improve thermal comfort conditions. Sol. Energy 85(12), 3085–3102 (2011)CrossRefGoogle Scholar
  10. 10.
    Xu, H.: Extraction of urban built-up land features from Landsat imagery using a thematic-oriented index combination technique. Photogrammetric Engineering & Remote Sensing 73(12), 1381–1391 (2007)CrossRefGoogle Scholar
  11. 11.
    Baldinelli, G., Bonafoni, S., Anniballe, R., Presciutti, A., Gioli, B., Magliulo, V.: Spaceborne detection of roof and impervious surface albedo: Potentialities and comparison with airborne thermography measurements. Solar Energy 113, 281–294 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of EngineeringUniversity of PerugiaPerugiaItaly

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