Extraction of the city impervious surface and analysis of the heat island effect based on the multi-source and multi-temporal remote sensing image

Using remote sensing technology to extract urban impervious surface information has a wide range and high efficiency and plays an essential role in monitoring urban expansion and urban ecological environment change. Generally speaking, if a place is an impervious surface, its surface temperature would be higher. The traditional impervious surface information extraction is based on a single data source and a single-phase remote sensing image, and the error of the extraction results is large. Based on the multi-temporal Sentinel-2 remote sensing image and LJ1-01 nighttime light data in 2018, the impervious surface information was extracted in the main urban area of Qingdao. Combined with the surface temperature retrieved from Landsat OLI/TIRS data, the spatial relationship between the urban heat island effect and impervious surface coverage was analyzed. The results show that multi-temporal and multi-source data can accurately extract urban impervious surface information, and some regions between impervious surface coverage and urban heat island effect cannot show spatial correlation.