Assessing nighttime artificial light pollution from the perspective of an unmanned aerial vehicle tilt

Increasing artificial light at night (ALAN) impacts urban sustainability and contributes to light pollution. Nighttime satellites miss side ALAN, so drone-captured tilted images and measured illuminance are used to assess ALAN pollution within urban streets. By integrating deep learning methods, ALA...

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Autori principali:	Jiejie Wu, Liang Zhou, Deping Li, Daoquan Zhang, Tingting Jiang, Chengzhi Zong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2025-12-01
Serie:	Geocarto International
Soggetti:	UAV tilted images artificial light at night light pollution illuminance deep learning
Accesso online:	https://www.tandfonline.com/doi/10.1080/10106049.2025.2453631
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