用无人机检测光污染,匈牙利案例研究

Andrea Pődör, Gergely Huszar
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引用次数: 1

摘要

该研究旨在支持非专业设备可以产生适合大规模检测光污染的图像的想法。在他们的研究中,作者使用业余无人机制作夜间机载图像,并在布达佩斯的一个试点地区使用SQM-L设备测量亮度。在研究区,不同类型的灯产生不同程度的光污染。在现场测量的基础上,我们制作了不同类型的灯的光污染的图形表示。在对航空影像进行处理后,生成了研究区域的亮度指数图,该地图可用于表征污染的空间变化。结果表明,在解释结果时我们应该小心,因为某些现象与光污染无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting light pollution with UAV, a Hungarian case study
The study aims to support the idea that nonprofessional equipment can produce suitable images for detecting light pollution on a large scale. The authors in their study used a hobby UAV for producing the nighttime airborne image, and also measured brightness with SQM-L equipment in a pilot area in Budapest. In the study area, different lamp types were detected to produce light pollution to a different degree. Based on the field measurement we produced a graphical representation of the light pollution of the different lamp types. After processing the airborne images, we produced the brightness index map of the study area, which can be used to represent spatial variations in pollution. The results showed that when interpreting the results we should be careful, as certain phenomena are not related to light pollution.
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