An Approach of Identifying and Extracting Urban Commercial Areas Using the Nighttime Lights Satellite Imagery
发布时间：2025-01-07 点击次数：
DOI码：10.3390/rs12061029
所属单位：School of Remote Sensing and Information Engineering, Wuhan University, China
发表刊物：REMOTE SENSING
关键字：urban commercial area,nighttime lights satellite imagery,exploratory spatial data analysis,urban hot spots detection
摘要：Urban commercial areas can reflect the spatial distribution of business activities. However, the scope of urban commercial areas cannot be easily detected by traditional methods because of difficulties in data collection. Considering the positive correlation between business scale and nighttime lighting, this paper proposes a method of urban commercial areas detection based on nighttime lights satellite imagery. First, an imagery preprocess model is proposed to correct imageries and improve efficiency of cluster analysis. Then, an exploratory spatial data analysis and hotspots clustering method is employed to detect commercial areas by geographic distribution metric with urban commercial hotspots. Furthermore, four imageries of Wuhan City and Shenyang City are selected as an example for urban commercial areas detection experiments. Finally, a comparison is made to find out the time and space factors that affect the detection results of the commercial areas. By comparing the results with the existing map data, we are convinced that the nighttime lights satellite imagery can effectively detect the urban commercial areas. The time of image acquisition and the vegetation coverage in the area are two important factors affecting the detection effect. Harsh weather conditions and high vegetation coverage are conducive to the effective implementation of this method. This approach can be integrated with traditional methods to form a fast commercial areas detection model, which can then play a role in large-scale socio-economic surveys and dynamic detection of commercial areas evolution. Hence, a conclusion can be reached that this study provides a new method for the perception of urban socio-economic activities.
合写作者： Mingyao, Pengcheng,Zhao, Qingwu, Xuzhe,Duan,Ai, Shaohua,Wang,Hu
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：12
期号：6
是否译文：否
CN号：WOS:000526820600131
发表时间：2020-03-01
