Data analysis techniques in light pollution: A survey and taxonomy

IF 11.7 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
Lala Septem Riza , Ahmad Izzuddin , Judhistira Aria Utama , Khyrina Airin Fariza Abu Samah , Dhani Herdiwijaya , Taufiq Hidayat , Rinto Anugraha , Emanuel Sungging Mumpuni
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引用次数: 6

Abstract

One of the most pressing issues facing astronomy today is the growing threat of light pollution. Light pollution affects not only astronomical observations but also sustainability in the social and environmental sense. Light pollution has been reported to cause environmental changes by altering the circadian rhythm of organisms such as birds. In this work, we conducted a systematic review of data analyses on light pollution in the literature to assist researchers and those interested in light pollution. The results of the systematic review can be divided into four distinct phases, which are research objective, data collection, data preprocessing, and data analysis. Simple popularity for each phase shows the most popular approaches are measurement as a research objective at 47.46%, ground-based sensors for data collection at 31.91%, image preprocessing at 51.61%, and statistics & machine learning for data analysis at 64.29%. The most popular combination of each phase is a measurement objective with ground-based sensors for data collection without data preprocessing or analysis. This implies that a not insignificant number of studies seek to obtain ground measurements without further analysis of the data. Data analysis as an integral part of the effort for understanding light pollution needs to be used efficiently and effectively by all stakeholders in the pursuit of sustainability.

光污染中的数据分析技术:综述与分类
当今天文学面临的最紧迫的问题之一是日益严重的光污染威胁。光污染不仅影响天文观测,也影响社会和环境意义上的可持续性。据报道,光污染通过改变生物(如鸟类)的昼夜节律而引起环境变化。在这项工作中,我们对文献中关于光污染的数据分析进行了系统的回顾,以帮助研究人员和对光污染感兴趣的人。系统评价的结果可分为研究目标、数据收集、数据预处理和数据分析四个不同的阶段。每个阶段的简单流行度显示,最受欢迎的方法是测量作为研究目标(47.46%),地面传感器用于数据收集(31.91%),图像预处理(51.61%)和统计(51.61%)。用于数据分析的机器学习占64.29%。每个阶段最流行的组合是一个测量目标与地面传感器的数据收集,没有数据预处理或分析。这意味着,有相当数量的研究试图在不进一步分析数据的情况下获得地面测量结果。数据分析作为了解光污染工作的一个组成部分,需要所有利益相关者在追求可持续性的过程中高效有效地利用。
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来源期刊
New Astronomy Reviews
New Astronomy Reviews 地学天文-天文与天体物理
CiteScore
18.60
自引率
1.70%
发文量
7
审稿时长
11.3 weeks
期刊介绍: New Astronomy Reviews publishes review articles in all fields of astronomy and astrophysics: theoretical, observational and instrumental. This international review journal is written for a broad audience of professional astronomers and astrophysicists. The journal covers solar physics, planetary systems, stellar, galactic and extra-galactic astronomy and astrophysics, as well as cosmology. New Astronomy Reviews is also open for proposals covering interdisciplinary and emerging topics such as astrobiology, astroparticle physics, and astrochemistry.
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