An Algorithm for Land Surface Temperature Analysis of Remote Sensing Image Coverage over Dehradun District, Uttarakhand, India

Estimation of LST from remotely sensed data is nowadays usual. LST is a key parameter in the physics of land surface processes because it is involved in the energy balance as well as in the evapotranspiration and desertification processes (Peres and DaCamara, 2004). This study investigates the thermal variations of the different land use/cover types in Dehradun district retrieved from Landsat ETM+ imagery of October, 2005. Band 2, 3, 4 and 6 of the imagery were used in the landuse classification, estimation of NDVI, land surface emissivity values, and satellite sensor temperature. Correlation analyses were conducted to investigate land-cover based relationships between LST and impervious surface and green vegetation fractions for an analysis of the causes of LST variations. Results indicate the built up area and the wasteland and non forest area have the highest land surface temperatures of 18–25°C and respectively, vegetation and water bodies have 8–14°C. The cultivated land area has land surface temperatures between 15-160C.