论文标题
用手机评估光污染的公民科学
Citizen Science to Assess Light Pollution with Mobile Phones
论文作者
论文摘要
夜间对人造灯的颜色的分析会影响各种领域，但是当前的数据源的分辨率有限或特定区域的图像可用性稀缺。在这项工作中，我们提出了路灯的众包照片作为替代数据来源：为此，我们设计了夜间Castelldefels，这是一家公民科学实验的飞行员，旨在收集有关路灯颜色的数据。特别是，我们从收集的图像中提取颜色，并将其与官方数据库进行比较，表明可以根据未经训练的公民使用自己的智能手机拍摄的照片对路灯进行分类。我们还将我们的发现与从目前的研究来源之一获得的结果进行了比较。比较强调了这两种方法如何在该地区晚上提供有关人造灯的互补信息。这项工作为夜间人造灯的颜色研究开辟了一条新的途径，并有可能进行准确，庞大和廉价的数据收集。
The analysis of the colour of artificial lights at night has an impact on diverse fields, but current data sources have either limited resolution or scarce availability of images for a specific region. In this work, we propose crowdsourced photos of streetlights as an alternative data source: for this, we designed NightUp Castelldefels, a pilot for a citizen science experiment aimed at collecting data about the colour of streetlights. In particular, we extract the colour from the collected images and compare it to an official database, showing that it is possible to classify streetlights according to their colour from photos taken by untrained citizens with their own smartphones. We also compare our findings to the results obtained from one of the current sources for this kind of study. The comparison highlights how the two approaches give complementary information about artificial lights at night in the area. This work opens a new avenue in the study of the colour of artificial lights at night with the possibility of accurate, massive and cheap data collection.
