Satellite Based Estimation of Urban Surface Emissivity with the Use of Sub-Pixel Classification Techniques

  • Z. MitrakaEmail author
  • N. Chrysoulakis
Conference paper
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)


Information about the spatial distribution of urban surface emissivity is essential for surface temperature estimation which is an important component of urban microclimate and it is critical in many applications, like turbulent sensible and latent heat fluxes estimation, energy budget, urban canopy modeling, bio-climatic studies and urban planning. The proposed method presents an improvement in emissivity estimation as compared with existing methods, such as the look-up table approach, wherein emissivity and other biophysical parameters are assigned to grid cells based on land cover types. The basic premise of this method is a sub-pixel classification of urban surface into vegetation, impervious and soil, based on spectral mixture analysis. The proposed approach was applied to Landsat-7 ETM + observations over the area of Athens, Greece. Spatial distributions of surface emissivity, as well as land surface temperature in the spectral region of 10.4–12.5 μm were derived. ASTER (Advanced Spectral Reflection and Emission Radiometer) emissivity and surface temperature products were used for evaluation.


Land Surface Temperature Impervious Surface Urban Land Cover Urban Canopy Modeling Spectral Mixture Analysis 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Foundation for Research and Technology – Hellas, Institute of Applied and Computational MathematicsHeraklionGreece
  2. 2.European Space Agency, Directorate of Earth Observation Programmes, ESA/ESRINFrascatiItaly

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