基于多源遥感数据的人口空间网格化研究——以福州市为例

A Study on Population Spatial Grid Based on Multi-source Remote Sensing Data:Taking Fuzhou City as an example

利用GIS(地理信息系统)并应用多源遥感数据等对福州市人口空间网格化进行研究。以福州市人口、地理基础信息数据为基础,提取DMSP/OLS夜间灯光数据以及NDVI(归一化植被覆盖指数)数据建立人居指数模型,并根据模型进行人口空间分布模拟,叠加高程数据对模型进行修正。结果表明:夜间灯光遥感影像与人口分布具有强相关性;NDVI与夜间灯光值结合可以解决夜间灯光像元溢出问题,提高数据空间化的质量和精确性。利用DMSP/OLS数据与NDVI数据构建的人居指数模型作为遥感数据与人口数据之间的纽带,对实现人口空间网格的展布起到了关键的作用。

The GIS(geographic information system)and multi-source remote sensing data were used to study the spatial grid of Fuzhou population.Based on the population and geographic basic information data of Fuzhou city,the DMSP/OLS night light data and NDVI(normalized difference vegetation index)data were extracted to establish the human habitat index model,the population spatial distribution simulation was simulated according to the model,and the model was corrected by adding the elevation data.The results show that the remote sensing image of night light has a strong correlation with the population distribution,NDVI and night light value can solve the overflow problem of night light image and improve the quality and accuracy of the spatial data.The residential index model constructed by using DMSP/OLS data and NDVI data,as the link between remote sensing data and population data,plays a key role in realizing the distribution of population spatial grid.