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Contribution to Book
Satellite Based Estimation of Urban Surface Emissivity with the Use of Sub-Pixel Classification Techniques
Advances in Meteorology, Climatology and Atmospheric Physics (2012)
  • Zina Mitraka
  • Nektarios Chrysoulakis
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, bioclimatic 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 mm were derived. ASTER (Advanced Spectral Reflection and Emission Radiometer) emissivity and surface temperature products were used for evaluation.
  • Surface emissivity; sup-pixel classification
Publication Date
C.G. Helmis and P.T. Nastos
Springer Atmospheric Sciences
ISBN 978-3-642-29172-2
Citation Information
Mitraka, Z. and Chrysoulakis, N., 2012. Satellite based estimation of urban surface emissivity with the use of sub-pixel classification techniques. In: C.G. Helmis and P.T. Nastos (eds.): Advances in Meteorology, Climatology and Atmospheric Physics, Springer Atmospheric Sciences., Springer-Verlag, Berlin Heidelberg (doi: 10.1007/978-3-642-29172-2_127), pp. 231 - 237.