Surface Temperature and NDVI Generation and Relation between Them: Application of Remote Sensing

Temperature is one of the most important climatic parameters and there are many methods to estimate the surface temperature distribution. The aim of this study is to analyze the surface temperature and develop a relationship between surface temperature, land cover and NDVI using satellite image. In this research band no 6 from Landsat TM satellite image was used to estimate surface temperature and NDVI. Remote sensing is an effective tool for classification of landcover and NDVI. Also regression analysis is an effective statistical tool by which the relationship between land cover, surface temperature and NDVI can be identify. In this paper statistical analysis, Geographic Information system and Remote sensing – all are used to identify the relationship between three of them. And in result, it is found that the temperature is comparatively low in vegetation area and in non vegetation area temperature is high. The correlation between both of them is found 35% and also regression value is found 0.17. The paper will regard as one of most effective methodologies to generate surface temperature with consideration of various geographical phenomena and also a relationship between them.