【摘要】 夜间灯光数据被越来越多地应用于人口空间化领域的研究中。珞珈一号夜间灯光数据是最新一代的夜间灯光数据,为探究其在人口空间化方向的应用价值和潜力,以珞珈一号夜间灯光数据和土地利用数据为源数据,在乡镇(街道)尺度上分区建立了渐进回归模型,进而得到北京市人口空间化结果,并与NPP/VIIR的结果进行对比。结果表明,珞珈一号夜间灯光数据回归结果的拟合程度和精度均优于NPP/VIIRS回归结果,且这种优势在人口密度小的区域更明显;基于珞珈一号夜间灯光数据的人口空间化结果能清晰展示城市内部人口空间分布的差异,对城市资源、环境管理具有实际意义。更多还原

【Abstract】 The nighttime light data are increasingly used in the research of population spatialization. The Luojia-1 nighttime light data are the newest. In order to explore the application value and potential of Luojia-1 nighttime light image in the population spatialization, taking the Luojia-1 nighttime light data and land use data as the source data, we constructed a progressive regression model with a partition way at the township(street) scale, and obtained the population spatialization results of Beijing City. Then, we compared these results with the NPP/VIIR results. The results show that the fitting degree and accuracy of regression results of Luojia-1 nighttime light data are superior to those of NPP/VIIRS regression results, and especially, in the regions with a low population density. Moreover, the population spatialization results based on Luojia-1 nighttime light data can clearly present the spatial distribution difference of population in the city, which has a practical significance in urban resource and environmental management.更多还原