Land Surface Temprature Estimation from Thermal Band of Landsat Sensor,case Study:alashtar City

Land Surface Temperature monitoring major parameters of climate change country studies. In this paper, two methods to retrieve the land surface temperature (LST) from thermal infrared data supplied by band 6 of the Enhanced Thematic Mapper Plus (ETM+) sensor onboard the Landsat 7 satellite are compared. The two are the mono-window algorithm developed by Qin et al. [International Journal of Remote Sensing 22 (2001) 3719] and the single-channel algorithm developed by Jime ́nez-Mun ̃oz and Sobrino [Journal of Geophysical Research 108 (2003)]. To calculate the emissivity factor two methods were used.1)NDVI Base Method , 2)Classification. Finally, we present a comparison between the LST measured in situ (from metrological stations) and the retrieved by the algorithms over an agricultural region of Alashtar city. The result show R =0.85 for Qin algorithm and R =0.79 for Jime ́nez-Mun ̃oz and Sobrino algorithm.