Impervious surface dynamic analysis using time-series modis data in pearl river delta

Abstract

Impervious surfaces are curial in natural ecosystems, their changes will influence the urban heat island, water logging and even local climate change. Rapid urbanizing process, mostly including change areas of impervious surfaces, was demonstrated in previous researches, but the inherent detailed changing regularity of impervious surfaces needed to be further studied. Time series remote sensing images, as useful data sets, were used to monitoring the dynamic change of the urban impervious surfaces. The objective of this study was to evaluate the seasonal variation of impervious surfaces using time series data sets. Pearl River Delta of China was selected as experiment region. The dynamic changes of impervious changes were discovered using MOD 09A1 (MODIS Surface Reflectance 8-Day L3 Global 500 m) through the support vector machine (SVM) classification method. The Google Map and Landsat images of the same year was utilized to select the training data. The result shows that whole area of the impervious surfaces in research region was gradually increased in the past 16 years.