中文摘要：

针对城市群中小尺度资源环境研究领域对空间型人口分布数据的需求，以DMSP/OLS夜间灯光卫星数据为依据，借助土地利用/覆盖矢量数据集提取居住用地信息，采用GIS与SPSS相结合的方法，分析夜间灯光像元DN值与人口统计数据的相关性，构建天山北坡城市群2002和2012年份人口分布的空间化模型，并制作1km格网尺度的人口密度专题图。采用重心模型和偏移-分享模型识别人口分布的时空变化格局及内部差异。结果表明：1.基于DMSP/OLS最佳阈值分割法提取的居住区用地，与同期NLCD数据匹配精度达93.94%、94.90%，匹配度较高；2.灯光像元DN值与人口数量存在明显的线性回归关系，根据该模型得到的人口空间化数据，经校验能较贴合反映实际分布情况；3.2002～2012年，天山北坡城市群人口分布重心呈向乌鲁木齐市靠近的变动态势，迁移直线距离约8.15km，乌鲁木齐人口增长相对快速、呈集聚趋势，其他9市/县人口增长缓慢、呈扩散趋势。分析认为，空间化模拟的人口密度能够较为贴切地反映天山北坡城市群人口分布现状，可为今后区域人地关系研究和社会发展政策制定提供一定的依据。

英文摘要：

To meet the requirement of urban agglomeration meso-small scale resource and environmental research which islack of space-based population distribution data,taking DMSP/OLS night lights of remote sensing data as basic datasource,by using the residential land data extracted from national land cover data,and the method of GIS combined withSPSS was applied to analyze the correlation between night lights DN value and census data.Then,spatial model of the pop?ulation spatial distribution of Tianshan north-slope urban agglomeration in2002and2012was established.Finally,thegrid scale of1km population density map was made.And population gravity center model and shift-share model were em?ployed to discover the distribution and internal differences from perspectives of spatial and temporal.The results show that:(1)Residential land was extracted from DMSP/OLS night data after the determination of the threshold value,there was ahigh percent of precision fitness compared to NLCD data over the same period were93.94%and94.90%.(2)Through theanalysis of the relationship between the night-time satellite data and the population in each county of Tianshan north-slopeurban agglomeration,we established the corresponding linear model and got the grid transformation of population data.(3)Urumqi’s population growth was relatively fast and agglomeration trend,the other9counties were growing at a slow rateand diffusion trend.It indicates that modeling the population density can closely reflect the distribution of Tianshan northslopeurban agglomeration,which provides some basis for future human-land relationships study and regional developmentpolicies.