Authors : Anusa Suwanwong and Noodchanath Kongchouy
Abstract: Land Surface Temperature (LST) is an important key in climatological and environmental studies. Cubic spline is piecewise polynomials with continuous function and the most successful approximating function. Generalized Estimated Equation (GEE) is used to estimate the parameters of a generalized linear model with longitudinal and other correlated response data. The aim of this study was to use cubic spline regression and GEE to perceive pattern and variation of temperature at Khao Nan during 2000-2015. We downloaded data, for Land Surface Temperatures recorded (LST) by MODIS EARTH Satellites from 2000-2015 in square kilometres grid boxes covering Khao-Nan National Park. The results showed cubic spline regression gave excellent curve fitting for pattern of LST among day time from satellite image at Khao-Nan National Park. Also, cubic spline regression and GEE showed the temperature change around Khao-Nan National Park during 2000-2015 had similar pattern with increasing variation except 2005-2009. In conclusion, cubic spline regression and GEE available to perceive pattern and variation of temperature very well.
Anusa Suwanwong and Noodchanath Kongchouy, 2016. Cubic Spline Regression Model and Gee for Land Surface Temperature Trend Using Modis in the Cloud Forest of Khao Nan National Park Southern Thailand During 2000-2015. Journal of Engineering and Applied Sciences, 11: 2387-2395.