 This research integrates multi-source remotely-sensed data to map China's impervious surface area, ISA, distribution at 30 m spatial resolution, achieving producers and users' accuracies of 83.1 and 91.9% respectively. These ISA data can be used for better management of urban landscapes and as an input in other studies such as socio-economic and environmental modelling. This article was authored by Gu Ying Li, Long Wei Li, Deng Xing Lu, and others.