Astronomical Site Selection Scenarios for Asia

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This study aimed to identify and evaluate suitable areas for astronomical observations in Asia using Geographic Information System (GIS) and Multi-Criteria Decision Analysis (MCDA) methods. Our study provides spatial coverage with satellite-based datasets to determine the ideal astronomical areas in Asia for future telescope construction. These datasets were created by adding a digital elevation model (DEM) and artificial light (AL), along with atmospheric data such as cloud cover (CC), precipitation water vapor content (PWV), aerosol optical density (AOD), and wind speed (WS). The dataset was analyzed using a combination of MCDA and GIS techniques. On the continent, the Tibetan Plateau and its surroundings (except the area around 90◦E–35◦N) in northern China were identified as the most suitable areas for astronomical studies with radio telescopes. Suitable areas for infrared and optical telescopes are mainly found in the southeast of the Tibetan Plateau (around 83◦E–31◦N). According to the analysis, an area of 369,096 km2, which corresponds to approximately 0.83 % of the continent, is best suited for infrared observations. Approximately 3.87% of the continent, that is, about 1,725,246 km2, is best suited for radio telescopes, while 0.8 %, that is, 355,842 km2, is best suited for observations with optical telescopes. The Corona-Borealis Observatory (Ngari) is located in the most ideal location for all three scenarios. The findings of this study are of great importance for future plans for astronomical sites on the continent. © 2025 Instituto de Astronomía, Universidad Nacional Autónoma de México.

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dc.contributor.authorYılmaz, Abdulvahap
dc.date.accessioned2026-10-18T20:26:19.148891450Z
dc.date.available2026-10-18T20:26:19.148891450Z
dc.date.issued2025
dc.description.abstractThis study aimed to identify and evaluate suitable areas for astronomical observations in Asia using Geographic Information System (GIS) and Multi-Criteria Decision Analysis (MCDA) methods. Our study provides spatial coverage with satellite-based datasets to determine the ideal astronomical areas in Asia for future telescope construction. These datasets were created by adding a digital elevation model (DEM) and artificial light (AL), along with atmospheric data such as cloud cover (CC), precipitation water vapor content (PWV), aerosol optical density (AOD), and wind speed (WS). The dataset was analyzed using a combination of MCDA and GIS techniques. On the continent, the Tibetan Plateau and its surroundings (except the area around 90◦E–35◦N) in northern China were identified as the most suitable areas for astronomical studies with radio telescopes. Suitable areas for infrared and optical telescopes are mainly found in the southeast of the Tibetan Plateau (around 83◦E–31◦N). According to the analysis, an area of 369,096 km2, which corresponds to approximately 0.83 % of the continent, is best suited for infrared observations. Approximately 3.87% of the continent, that is, about 1,725,246 km2, is best suited for radio telescopes, while 0.8 %, that is, 355,842 km2, is best suited for observations with optical telescopes. The Corona-Borealis Observatory (Ngari) is located in the most ideal location for all three scenarios. The findings of this study are of great importance for future plans for astronomical sites on the continent. © 2025 Instituto de Astronomía, Universidad Nacional Autónoma de México.
dc.identifier.doi10.22201/ia.01851101p.2025.61.03.05
dc.identifier.endpage178
dc.identifier.issn0185-1101
dc.identifier.issue3
dc.identifier.scopus2-s2.0-105024219930
dc.identifier.startpage165
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11242
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.subjectInfrared-Radio-Optical
dc.subjectMCDA
dc.subjectObservatory
dc.subjectSite selection
dc.titleAstronomical Site Selection Scenarios for Asia
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus0
rdl.oa.statusgold
rdl.source.indexSCOPUS