Author
Listed:
- Farung Surina
(Faculty of Science and Technology, Chiang Rai Rajabhat University, Chiang Rai 57100, Thailand)
- Thanayut Changruenngam
(Faculty of Science and Technology, Chiang Rai Rajabhat University, Chiang Rai 57100, Thailand)
- Jinda Waikeaw
(Faculty of Science and Technology, Chiang Rai Rajabhat University, Chiang Rai 57100, Thailand)
- Suruswadee Nanglae
(Faculty of Science and Technology, Chiang Rai Rajabhat University, Chiang Rai 57100, Thailand)
- Saran Poshyachinda
(National Astronomical Research Institute of Thailand, Chiangmai 50180, Thailand)
- Boonrucksar Soonthornthum
(National Astronomical Research Institute of Thailand, Chiangmai 50180, Thailand)
- Michael F. Bode
(National Astronomical Research Institute of Thailand, Chiangmai 50180, Thailand
Astrophysics Research Institute, Liverpool John Moores University, Liverpool L3 5AH, UK
Botswana International University of Science and Technology, Palapye 10071, Botswana)
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.
Suggested Citation
Farung Surina & Thanayut Changruenngam & Jinda Waikeaw & Suruswadee Nanglae & Saran Poshyachinda & Boonrucksar Soonthornthum & Michael F. Bode, 2025.
"The First Dark-Sky Map of Thailand: International Comparisons and Factors Affecting the Rate of Change,"
Sustainability, MDPI, vol. 17(21), pages 1-20, November.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:21:p:9856-:d:1787643
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