国土资源遥感2016，Vol.28Issue(3)：19-24,6.DOI:10.6046/gtzyyg.2016.03.04
基于 NPP －VIIRS 夜间灯光数据的北京市GDP 空间化方法
Spatialization of GDP in Beijing using NPP-VIIRS data
摘要
Abstract
In order to analyze spatial distributions of socioeconomic activities at pixel scale , the authors used Landsat8 and NPP-VIIRS night -time light images as data sources and produced spatialization maps of primary industry GDP and the secondary , tertiary industry GDP in Beijing . The land use map of Beijing for the spatialization was produced from Landsat 8 image with CART decision-tree algorithm .According to the correlation results between the primary industry GDP and areas of land use , a linear regression model was built based on the primary industry GDP and areas of plough .By analyzing the correlation relationships between five light indexes and the secondary, tertiary industry GDP, compounded night light index (CNLI) and the secondary, tertiary industry GDP presented apparent power function ’ s correlation relationship .Using linear corrections and summation of two types of pixel level ’ s GDP density maps produced both modes listed above , and a total GDP density map was generated with the resolution of five hundred meters in Beijing .The results of GDP relative errors show that the primary industry GDP and the secondary , tertiary industry GDP were 0.86%, 0.61% and 1.37% respectively. This suggests that this approach of pixel level ’ s GDP spatialization can be applied to estimate Beijing ’ s GDP and reflect characteristics of its economic distribution .关键词
NPP-VIIRS/夜间灯光/省域GDP/土地利用/GDP空间化Key words
NPP-VIIRS/night-time light/provincial GDP/land use/GDP spatialization分类
计算机与自动化引用本文复制引用
李峰,米晓楠,刘军,刘小阳..基于 NPP －VIIRS 夜间灯光数据的北京市GDP 空间化方法[J].国土资源遥感,2016,28(3):19-24,6.基金项目
河北省高等学校科学研究计划重点项目和中央高校基本科研业务费项目“京津冀地区多维经济统计信息的可视化挖掘方法研究”（编号 ZD2014203）共同资助。 （）
