Advances on Urban Impervious Surface Extraction Using Remote Sensing Data

摘要

Urban impervious surface is an artificial surface features of the city, affecting urban surface runoff, the hydrological cycle, water quality, local climate and biodiversity, is one of the important indicators of the modern urbanization and urban ecosystem monitoring. With the development of urban remote sensing, various resolution remote sensing images have been used in urban impervious surface extraction. In this paper, image source remote sensing image classification criteria focus on the application of the various resolution remote sensing image, application methods and applications; summary evaluation of the existing methods, finally pointed out the future prospects.