This study analyzes impact of change in impervious surfaces in the Brussels Capital Region on trends in extreme temperatures between 1960 and 1999. Specifically, we combine data from remote sensing imagery and a land surface model (LSM) including stateoftheart urban parameterization, the Town Energy Balance scheme. In order to isolate effects of urbanization on near surface temperature independent of atmospheric circulations, we run the LSM in a standalone mode coupled to downscaled ERA40 reanalysis data. Model simulations show that annual mean urban bias (AMUB) on minimum temperature is rising at a higher rate than on maximum temperature, with a linear trend of 0.14°C and 0.05°C per decade respectively. The 40year AMUB on mean temperature is estimated to be 0.62°C.