Use of an inside buffer method to extract the extent of urban areas from DMSP/OLS nighttime light data in North China
文献类型：SCI/SSCI论文
| 作者 | Tan M. H.; Huang, C.
|
| 发表日期 | 2016 |
| 关键词 | DMSP OLS data inside buffer model northern China over-glow effects urban areas land-use urbanization dynamics composite data satellite data river delta time-series luminosity expansion growth images |
| 英文摘要 | 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 R-2 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. |
| 出处 | Giscience & Remote Sensing |
| 卷 | 53 |
| 期 | 4 |
| 页 | 444-458 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1548-1603 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43308]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Tan M. H.,Huang, C.. Use of an inside buffer method to extract the extent of urban areas from DMSP/OLS nighttime light data in North China. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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