The First Dark-Sky Map of Thailand: International Comparisons and Factors Affecting the Rate of Change

We present the first dark-sky map of Thailand, derived from calibrated Visible Infrared Imaging Radiometer Suite (VIIRS) satellite data spanning 2012–2023. Artificial night-sky brightness was classified into 14 levels, with Classes 1–9 defined as potential dark-sky areas where the Milky Way remains visible. International comparisons with the United Kingdom, Chile, and Botswana reveal that Thailand has undergone the steepest decline, losing 15.4% of pristine skies since 2012, while the UK remained stable (+0.8%), Botswana nearly unchanged (−0.7%), and Chile moderately degraded (−5.3%). A correlation analysis shows strong negative associations between potential dark-sky area and both GDP (r=−0.65) and population (r=−0.68), while inflation (r=0.26) and unemployment (r=0.24) exhibit weak influence. Five algorithms, including GLM and machine learning models, were tested; among them, the Decision Tree achieved the lowest relative error (0.4%±0.3%), with ensemble methods and GLM performing comparably and Deep Learning being less accurate. By 2023, over 60% of Thais lived under skies too bright to observe the Milky Way by naked eye, and one-fifth were exposed to intensities preventing dark adaptation. Thailand’s rapid transition to LED street lighting after 2015, while energy-efficient, has intensified skyglow. Protecting remaining dark-sky areas requires urgent policies, linking conservation to human health, biodiversity, cultural heritage, and sustainable development.

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Publication Details

Journal
Sustainability
Published
2025-11-05
DOI
https://doi.org/10.3390/su17219856
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00
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article

The First Dark-Sky Map of Thailand: International Comparisons and Factors Affecting the Rate of Change

Boonrucksar Soonthornthum, S. Poshyachinda, Thanayut Changruenngam, F. Surina et al.
Sustainability
Impact of Light on Environment and Health
article

The First Dark-Sky Map of Thailand: International Comparisons and Factors Affecting the Rate of Change

Boonrucksar Soonthornthum, S. Poshyachinda, Thanayut Changruenngam, F. Surina, M. F. Bode, Jinda Waikeaw, Suruswadee Nanglae
article en

Abstract

We present the first dark-sky map of Thailand, derived from calibrated Visible Infrared Imaging Radiometer Suite (VIIRS) satellite data spanning 2012–2023. Artificial night-sky brightness was classified into 14 levels, with Classes 1–9 defined as potential dark-sky areas where the Milky Way remains visible. International comparisons with the United Kingdom, Chile, and Botswana reveal that Thailand has undergone the steepest decline, losing 15.4% of pristine skies since 2012, while the UK remained stable (+0.8%), Botswana nearly unchanged (−0.7%), and Chile moderately degraded (−5.3%). A correlation analysis shows strong negative associations between potential dark-sky area and both GDP (r=−0.65) and population (r=−0.68), while inflation (r=0.26) and unemployment (r=0.24) exhibit weak influence. Five algorithms, including GLM and machine learning models, were tested; among them, the Decision Tree achieved the lowest relative error (0.4%±0.3%), with ensemble methods and GLM performing comparably and Deep Learning being less accurate. By 2023, over 60% of Thais lived under skies too bright to observe the Milky Way by naked eye, and one-fifth were exposed to intensities preventing dark adaptation. Thailand’s rapid transition to LED street lighting after 2015, while energy-efficient, has intensified skyglow. Protecting remaining dark-sky areas requires urgent policies, linking conservation to human health, biodiversity, cultural heritage, and sustainable development.

SustainabilityVol. 17(21)
Botswana International University of Science and Technology (BW), Chiang Rai Rajabhat University (TH), Liverpool John Moores University (GB), National Astronomical Research Institute of Thailand (TH)
Openalex Percentile: Top 70%
Impact of Light on Environment and Health
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