应用科学学报 ›› 2017, Vol. 35 ›› Issue (5): 647-657.doi: 10.3969/j.issn.0255-8297.2017.05.010

• 信号与信息处理 • 上一篇    下一篇

基于DMSP/OLS夜间灯光影像的省际经济发展水平评估模型研究

马丹1, 程辉2, 毛艳玲1, 邢世和1   

  1. 1. 福建农林大学 资源与环境学院, 福州 350002;
    2. 山东女子学院 旅游学院, 济南 250300
  • 收稿日期:2016-10-10 修回日期:2016-12-13 出版日期:2017-09-30 发布日期:2017-09-30
  • 通信作者: 毛艳玲,教授,研究方向:土地利用变化与土壤碳循环,E-mail:fafum@126.com E-mail:fafum@126.com
  • 基金资助:

    国家留学基金委基金(No.201607870010);福建省教育厅基金(No.JAS160179);国家自然科学基金(No.41401399)资助

Estimation of Provincial Economic Development Levels Based on DMSP/OLS Nighttime Light Images

MA Dan1, CHENG Hui2, MAO Yan-ling1, XING Shi-he1   

  1. 1. College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
    2. Tourism School, Shandong Women's University, Jinan 250300, China
  • Received:2016-10-10 Revised:2016-12-13 Online:2017-09-30 Published:2017-09-30

摘要:

采用2001年、2004年、2007年的DMSP/OLS夜间灯光数据提取中国31个省市的夜间灯光强度图,引入相对亮度和相对面积,通过相关分析和主成分分析法,构建了灯光指数和统计指数.以2001年、2004年的灯光指数与统计指数为样本,以2007年数据为检验值,建立线性回归模型,可决系数为0.872.最后,以灯光指数对中国省际经济发展水平空间格局进行分析.结果表明,引入相对亮度和相对面积构建的灯光指数能较准确地反映中国省际经济发展综合水平的时空格局变化.

关键词: 国民生产总值, 夜间灯光指数, DMSP/OLS, 回归分析, 主成分分析

Abstract:

This paper produces nighttime light intensity maps across 31 provinces and municipalities in mainland China using the DMSP/OLS nighttime lights data in 2001, 2004 and 2007. Brightness ratio and area ratio are introduced to construct a nighttime light index and a statistics index with ratio analysis and principal component analysis. The indices in 2001 and 2004 are used as training samples and the ones in 2007 as test data to establish a linear regression model at the provincial level. The coefcient of determination is 0.872. Spatio-temporal distribution of provincial socioeconomic development levels in China is analyzed based on the nighttime light index. The results indicate that, by introducing brightness and area ratios, using nighttime light indices to estimate regional socioeconomic development levels is feasible and effective.

Key words: DMSP/OLS, nighttime light index, principal component analysis, gross domestic product (GDP), regression analysis

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