Analysis of Spatio-Temporal Changes in Future Artificial Light Pollution and Projections Until 2029 and 2041: A Case Study in the Brazilian States of Roraima, Amazonas, Acre, and Rondônia

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This study presents an integrated spatial and temporal analysis of night sky brightness transitions, classified into Bortle classes using the MOLUSCE plugin. Future projections for 2029 and 2041 were generated based on remote sensing data from 2017 and 2020. The results indicate that the “Excellent Sky” and “Typical Dark Sky” classes may decrease by 100% and 56%, respectively, while the “Rural Sky” class could lose approximately 284,679 km2. In contrast, the “Rural-suburban Transition” class is projected to grow by 73%, with smaller increases in the “Suburban”, “Bright Suburban”, “Suburban/urban Transition”, and “Urban Center” classes. The “Urban Center” class shows a steady growth rate of 0.004%. These trends suggest a continued spread of light pollution into rural areas. The results provide valuable input for national and local authorities to anticipate future light-pollution patterns and develop effective mitigation strategies. © 2025 Instituto de Astronomía, Universidad Nacional Autónoma de México.

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dc.contributor.authorYılmaz, Abdulvahap
dc.date.accessioned2026-10-18T20:26:30.040758502Z
dc.date.available2026-10-18T20:26:30.040758502Z
dc.date.issued2025
dc.description.abstractThis study presents an integrated spatial and temporal analysis of night sky brightness transitions, classified into Bortle classes using the MOLUSCE plugin. Future projections for 2029 and 2041 were generated based on remote sensing data from 2017 and 2020. The results indicate that the “Excellent Sky” and “Typical Dark Sky” classes may decrease by 100% and 56%, respectively, while the “Rural Sky” class could lose approximately 284,679 km2. In contrast, the “Rural-suburban Transition” class is projected to grow by 73%, with smaller increases in the “Suburban”, “Bright Suburban”, “Suburban/urban Transition”, and “Urban Center” classes. The “Urban Center” class shows a steady growth rate of 0.004%. These trends suggest a continued spread of light pollution into rural areas. The results provide valuable input for national and local authorities to anticipate future light-pollution patterns and develop effective mitigation strategies. © 2025 Instituto de Astronomía, Universidad Nacional Autónoma de México.
dc.identifier.doi10.22201/ia.01851101p.2025.61.03.06
dc.identifier.endpage188
dc.identifier.issn0185-1101
dc.identifier.issue3
dc.identifier.scopus2-s2.0-105024232443
dc.identifier.startpage179
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11457
dc.identifier.volume61
dc.language.isoen
dc.publisherUniversidad Nacional Autonoma de Mexico
dc.relation.ispartofRevista Mexicana de Astronomia y Astrofisica
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAL change
dc.subjectBortle classes
dc.subjectMolusce
dc.subjectremote sensing-GIS
dc.titleAnalysis of Spatio-Temporal Changes in Future Artificial Light Pollution and Projections Until 2029 and 2041: A Case Study in the Brazilian States of Roraima, Amazonas, Acre, and Rondônia
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus0
rdl.oa.statusgold
rdl.source.indexSCOPUS