Abstract: Urban impervious surface is an important indicator of urbanization process. It is also an important indicator to measure urban ecosystem health. In the context of global urbanization, impervious surface extraction has become a research hotspot. This dataset is derived from a fast large area impervious surface extraction method based on combined use of optical and SAR data. This dataset has a spatial coverage of 18°10′N–20°10′N, 108°37′E–111°03′E, and the time range is 2015. 10,000 randomly selected validation points were utilized to assess the accuracy of this dataset. The Overall Accuracy (OA) and Kappa coefficients were 90.71% and 0.81, respectively. Additionally，a comparation was carried out between our datasets and current mainstream land cover products, i.e. GlobalLand30 (30m), Liu’s products and GHSL. Results show that our products have higher extraction accuracy and provide more internal structures for human settlements.
Keywords: Urban impervious layer; Sentinel-1 SAR; Sentinel-2A; Google Earth Engine