K Aliabadi; H Soltanifard
Volume 8, Issue 1 , November 2016, , Pages 95-108
Abstract
Knowledge of temporal and spatial distribution of LST to determine the amount of earth energy is much applicable for climatology studies, examination of vegetation and also determination of urban structure. With respect to deriving LST from the studied area and its relationship with urban structure and ...
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Knowledge of temporal and spatial distribution of LST to determine the amount of earth energy is much applicable for climatology studies, examination of vegetation and also determination of urban structure. With respect to deriving LST from the studied area and its relationship with urban structure and vegetation, the present study illustrates that climate conditions specially wind, urban structure and vegetation are some of the effective factors on LST. According to the importance of heat islands at pixel scale in this study, and the ability of Newton Interpolation Polynomial in this respect, urban construction and vegetation are derived by the stated polynomial and their relationship with LST is examined and the areas concluding heat island are known. In this study, Newton Interpolation Polynomials have presented two equations of grade 7 by received DN from 200 points of image including vegetation and the areas with urban structure. The produced error rate from deriving vegetation by using Newton Interpolation Polynomial in 100 locations of the studied area and in urban construction are calculated as 10.1 and 12.02 respectively. It should be stated that no research with similar method has been done yet. The use of mathematical techniques in remote sensing and the amount of accuracy and ability of them are considered some of the main purposes in this research
