Energy in the urban environment: use of Terra/ASTER imagery as a tool in urban planning

In the present paper, Terra/ASTER imagery has been analysed together with in-situ spatial data to examine the potential of multi-spectral remote sensing to support urban planning. The potential of ASTER imagery to support energy budget estimation has been also examined by defining and mapping some microclimatic parameters for the centre of the city of Athens. Images in visible, near infrared and thermal infrared areas of the electromagnetic spectrum have been processed to define the urban land cover and topographic characteristics as well as to estimate the spatial distributions of vegetation, visible reflected radiation and brightness temperature. It has been found that ASTER multi-spectral imagery enables a better understanding of energy aspects, their causes and effects, providing an important addition to conventional methods of monitoring the urban environment.

[1]  F. Becker,et al.  The impact of spectral emissivity on the measurement of land surface temperature from a satellite , 1987 .

[2]  Enric Valor,et al.  Land surface emissivity and temperature determination in the whole HAPEX-Sahel area from AVHRR data , 1997 .

[3]  D. Vidal-Madjar,et al.  Estimation of Land Surface Temperature with NOAA9 Data , 1992 .

[4]  José A. Sobrino,et al.  Thermal remote sensing of land surface temperature from satellites: Current status and future prospects , 1995 .

[5]  Jia Zong,et al.  Algorithm Theoretical Basis , 1999 .

[6]  T. Oke,et al.  Complete urban surface temperatures , 1997 .

[7]  José A. Sobrino,et al.  Atmospheric correction for land surface temperature using NOAA-11 AVHRR channels 4 and 5 , 1991 .

[8]  B. Dousset,et al.  Remote sensing applications to the analysis of urban microclimates , 2001, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482).

[9]  M. Jentoft-Nilsen,et al.  Algorithm Theoretical Basis Document for: Brightness Temperature , 1999 .

[10]  Z. Li,et al.  Towards a local split window method over land surfaces , 1990 .

[11]  Nektarios Chrysoulakis,et al.  Improving the estimation of land surface temperature for the region of Greece: Adjustment of a split window algorithm to account for the distribution of precipitable water , 2002 .

[12]  José A. Sobrino,et al.  On the atmospheric dependence of the split-window equation for land surface temperature , 1994 .

[13]  B. Dousset,et al.  Los Angeles fires seen from space , 1993 .

[14]  A. Prata Land surface temperatures derived from the advanced very high resolution radiometer and the along‐track scanning radiometer: 1. Theory , 1993 .

[15]  Yann Kerr,et al.  Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm , 1992 .

[16]  J. C. Price,et al.  Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer , 1984 .

[17]  A.Vidal Atmospheric and emissivity correction of land surface temperature measured from satellite using ground measurements or satellite data , 1991 .