ESTIMATING INDUSTRIAL STRUCTURE CHANGES IN CHINA USING DMSP – OLS NIGHT-TIME LIGHT DATA DURING 1999–2012

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Qin, K.^1¹  Han, X.^1²  Tana, G.^2³ 

[1] Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100864, China^3;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China^1;State Key Laboratory of Earth Surface Processes and Resource Ecology, and College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China^2

关键词: Night-time light;    GDP;    Tertiary industry structure;    DMSP-OLS;    China;    Time series;   

DOI  :  10.5194/isprs-archives-XLII-3-W5-9-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

The Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) night-time light imagery has been proved to be a powerful tool to monitor economic development with its relatively high spatial resolution at large scales. Night-time lights caused by human activities derived from DMSP-OLS satellite imagery are widely used in socioeconomic parameter estimations and urbanization monitoring. In this paper, DMSP-OLS night-time stable light data from 1999 to 2012 are utilized to analyze inter-annual variation in GDP of per unit light intensity (R_GDP) in China. Furthermore, R_GDP was compared with statistical data of the tertiary industry structure for 28 provincial regions. The results show that the provincial R_GDP decreased abruptly in 2001–2002, 2008–2009 and 2011–2012, which is consistent with the proportional growth of the tertiary industry in GDP. These results indicate that the changes in R_GDP can reflect tertiary industry structural changes in China's province-level regions.

【 授权许可】

CC BY