Abstract: Impervious surface is one of the important indexes to measure the development degree of urbanization and evaluate the quality of urban ecological environment. Nanchang is one of the typical regional cities of Poyang Lake eco economic circle. It is of great significance to obtain the impervious surface information accurately, timely and efficiently for Nanchang to provide a new decision-making reference for its economic development and ecological planning. Most of the existing researches on impervious surface are focused on extracting impervious surface information from single optical remote sensing image data. However, due to the influence of image data sources, the classification results often have spectral confusion and "salt and pepper" phenomenon, which limits the further improvement of impervious surface classification accuracy. In order to improve this situation, this study takes Nanchang city as the research area, comprehensively considers the advantages of multi-source remote sensing image data, and explores the applicability, advantages and disadvantages of impervious surface information extraction based on Sentinel+Landsat image.

Key words: Sentinel, impervious area, radar image, multi source remote sensing