Estimation of the ground surface temperature using Sebal method and the decision tree from ETM+ (Case study: Maraqeh Town)

Abstract

Land surface temperature is highly used in various kinds of studies, eg. Climatology, hydrology, Ecology, geology, design and improvement of the transport networks places. According to the stability of the land surface temperature in some limited number of climatology stations, and the need of the spatial surface temperature distribution in a vast area and simultaneously, the surface temperature was estimated. In order to access the surface temperature, the SEBAL (surface Balance Algorithms for Land) and the decision tree were used. The images used for SEBAL, were the ETM images taken on the 31st of August 2000, which were preprocessed by the Envi4.8 and ArcGIS9.3.In the study, the differences between the 12 years data of the surface temperature measured at the atmospheric stations (1993-2005), were compared with the data estimated by the SEBAL and there is in significant difference. So, the remote sensing can be recommended to be applied in the earth science and Environmental studies.