Research Papers

Timely and accurate national-scale mapping of urban land in China using Defense Meteorological Satellite Program’s Operational Linescan System nighttime stable light data

[+] Author Affiliations
Yang Yang

Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing 100875, China

Ocean University of China, School of Law & Political Science, Qingdao 266100, China

Chunyang He, Shiqiang Du

Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing 100875, China

Qiaofeng Zhang

Murray State University, Department of Geosciences, Murray, Kentucky 42071

Lijian Han

Chinese Academy of Sciences, Research Center for Eco-Environmental Sciences, Beijing 100085, China

J. Appl. Remote Sens. 7(1), 073535 (Jul 15, 2013). doi:10.1117/1.JRS.7.073535
History: Received July 18, 2012; Revised June 9, 2013; Accepted June 12, 2013
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Abstract.  Urban land accounts for a small fraction of the Earth’s surface area but rapid increases in urban land have a disproportionate influence on the environment. China is a living laboratory in urbanization and has witnessed fast urban growth in recent decades. The timely and accurate mapping of urban land in China is an urgent and basic issue toward clarifying the urbanization process and revealing its environmental impacts. Nighttime stable light (NSL) data obtained by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) can provide an economical way to map urban land nationwide. However, it is difficult to apply existing methods to accurately extract urban land from DMSP/OLS NSL data covering the entirety of China due to China’s large area and substantial regional variation. A stratified support vector machine (SSVM)-based method used to map the urban land in China in 2008 at a national scale using DMSP/OLS NSL and SPOT normalized difference vegetation index data is presented. The results show that measurement of urban land in China in 2008 using SSVM achieves an average overall accuracy of 90% and an average Kappa of 0.69. The success of this research demonstrates the great potential of SSVM for clarifying the urbanization process in continental and global research.

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Citation

Yang Yang ; Chunyang He ; Qiaofeng Zhang ; Lijian Han and Shiqiang Du
"Timely and accurate national-scale mapping of urban land in China using Defense Meteorological Satellite Program’s Operational Linescan System nighttime stable light data", J. Appl. Remote Sens. 7(1), 073535 (Jul 15, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073535


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