Evaluation of Land Surface Temperature and Urban Landuse/LandCover Changes Using of ETM+ Satellite DataA Case Study of Tehran City

Land Surface Temperature (LST) is an important factor in global changing studies; to estimate the radiation budgets in heat balance studies and urban climatology researches. This research evaluates the potential of multispectral satellite data for retrieving the biophysical parameters to estimate the land surface temperature in Tehran city using ETM+ satellite data. LST is investigated for different Landuse/Landcover (LULC) types and LULC classification accuracy is evaluated as well. The classification results improve using MNF components in comparison with using of the Maximum Likelihood Classification (MLC). Emissivity and LST values are estimated using SEBAL algorithm.The results indicated that in city level, LULC has high impact on surface temperature regimes as well as NDVI and FVC are closely correlated with LST in several LULC categories. Using the regression analysis indicated that the used method in this research to estimate the emissivity and LST in heterogeneous urban area was suitable and it could be used in order to estimate urban temperature changes in city level for specific time period.