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摘要： 夜光影像分辨率低、时效性差等问题是夜光遥感光污染研究发展的一大阻力。对此应用一种新型的夜光遥感数据获取方式——志愿者民航客机遥感（VPARS）来采集长沙市高分辨率夜光遥感数据，结合长沙市2018年商业POI数据，对光污染来源及特征进行分析，探索了VPARS方法在光污染研究领域的初步应用。结果表明：志愿者民航客机遥感可以有效获取城市小尺度的高精度夜光遥感数据，在光污染监测应用方面具备很大潜力。对长沙市VPARS夜光数据的初步分析结果显示，长沙市购物服务、生活服务、餐饮服务类POI发光比例高，亮度系数高于平均值，是长沙市光污染的主要来源；出行服务类、公共服务设施类POI虽发光比例低，但亮度系数达到最大值1.82，光污染程度较高；长沙市光污染呈商业区聚集及城市核心聚集模式。 关键词： 城市光污染;  夜光遥感;  志愿者民航客机遥感;  空间分析;  长沙市     Abstract: The problems of low resolution and poor timeliness of nightlight remote sensing images are the resistance to the development of light pollution research. In this regard， a novel method to capture nightlight remote sensing image called Volunteered Passenger Aircraft Remote Sensing （VPARS） is used to obtain high-resolution nighttime light imagery from Changsha City， combined with the commercial POI data in 2018， the source and the patterns of light pollution was analyzed， and the preliminary application of VPARS in light pollution research was explored. The results showed that the Volunteered Passenger Aircraft Remote Sensing can effectively obtain high-precision night-time remote sensing data of cities， and has great potential in light pollution monitoring applications. According to the preliminary analysis of the VPARS night-light remote sensing image of Changsha City， the POI of shopping service， living service and catering service are responsible for more than half of the detected light output， and the brightness coefficient of them is much higher than the average value， which makes them the main source of light pollution in Changsha. Although the POI of travel service and public service facilities has a low luminous ratio， the brightness coefficient reaches a maximum of 1.82， and the degree of light pollution is high. Light pollution in Changsha is mainly concentrated in commercial districts and urban cores.

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