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Original Articles

Use of an inside buffer method to extract the extent of urban areas from DMSP/OLS nighttime light data in North China

Pages 444-458 | Received 16 Aug 2015, Accepted 28 Jan 2016, Published online: 09 Mar 2016
 

Abstract

Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) nighttime imagery provides a valuable data source for mapping urban areas. However, the spatial extents of large cities are often overestimated because of the effect of over-glow from nighttime light if a fixed thresholding technique is used. In the work reported here, an inside buffer method was developed to solve this issue. The method is based on the fact that the area overestimated is proportional to the extent of the lit area if a fixed threshold is used to extract urban areas in a region/county. Using this method, the extents of urban areas in North China were extracted and validated by interpretations from Landsat Thematic Mapper images. The results showed that the lit areas had a significant linear relationship with the urban areas for 120 representative cities in North China in 2000, with an R2 value of over 0.95. This demonstrates that the inside buffer method can be used to extract urban areas. The validation results showed that the inside buffer model developed in 2000 can be directly used to extract the extent of urban areas using more recent nighttime light imagery. This is of great value for the timely updating of urban area databases in large regions or countries.

Acknowledgments

Valuable suggestions and comments from anonymous reviewers are greatly appreciated.

Highlights

Overestimated area is proportional to the extent of the lit area

Using inside buffer method to remove over-glow effect of nighttime light

Inside buffer is calculated considering the shape indexes of lit areas

Inside buffer model can be used to extract extent of urban areas in the next decade

Disclosure statement

No potential conflict of interest was reported by the author.

Supplemental data

Supplemental data for this article can be accessed here.

Additional information

Funding

This work was supported by the Natural Science Foundation of China [grant numbers [41271119, 41161140352, and 91325302].

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