Global Site Selection for Astronomy

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dc.authoridYERLI, SINAN KAAN/0000-0001-9717-5349
dc.authoridKaba, Kazim/0000-0001-8328-8123
dc.authoridaksaker, nazim/0000-0001-8721-5036
dc.authoridErdogan, Mehmet Akif/0000-0002-8346-3590
dc.authoridkurt, zuhal/0000-0002-4665-9009
dc.authoridBayazit, Murat/0000-0002-5382-1801
dc.contributor.authorAksaker, N.
dc.contributor.authorYerli, S. K.
dc.contributor.authorErdogan, M. A.
dc.contributor.authorKurt, Z.
dc.contributor.authorKaba, K.
dc.contributor.authorBayazit, M.
dc.contributor.authorYesilyaprak, C.
dc.date.accessioned2024-09-18T20:32:49Z
dc.date.available2024-09-18T20:32:49Z
dc.date.issued2020
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractA global site selection for astronomy was performed with 1 km spatial resolution (similar to 1 gigapixel in size) using long-term and up-to-date datasets to classify the entire terrestrial surface of the Earth. Satellite instruments are used to get the following datasets of geographical information system (GIS) layers: cloud coverage, digital elevation model, artificial light, precipitable water vapour, aerosol optical depth, wind speed, and land use and land cover. A multi-criteria decision analysis (MCDA) technique is applied to these datasets, creating four different series where each layer will have a specific weight. We introduce for the first time a suitability index for astronomical sites (SIAS). This index can be used to find suitable locations and to compare different sites or observatories. The midwestern Andes in South America and the Tibetan Plateau in western China were found to be the best in all SIAS series. Considering all the series, less than 3 per cent of all terrestrial surfaces are found to be the best regions to establish an astronomical observatory. In addition to this, only approximately 10 per cent of all current observatories are located in good locations in all SIAS series. Amateurs, institutions or countries aiming to construct an observatory could create a shortlist of potential site locations using a layout of SIAS values for each country without spending time and budget. The outcomes and datasets of this study have been made available through a website, the Astro GIS Database, at www.astrogis.org.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [117F309]; Energy Sector Management Assistance Program (ESMAP)en_US
dc.description.sponsorshipThis research was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) through project number 117F309. We thank Esragul Atalay, Derya Ozturk Cetni and Hulya Isik for their efforts in downloading datasets. We also thank the supervisors of the project, namely Ibrahim Kucuk, Suha Berbero.glu and Mustafa Atilan. We thank Mehmet E. Ozel for his helpful comments. We thank Alisan Aktay for the design of the https://www.astrogis.org website.Wind data obtained from the `GlobalWind Atlas 2.0, a free, webbased application developed, owned and operated by the Technical University of Denmark (DTU) in partnership with the World Bank Group, utilizing data provided by Vortex, with funding provided by the Energy Sector Management Assistance Program (ESMAP).en_US
dc.identifier.doi10.1093/mnras/staa201
dc.identifier.endpage1216en_US
dc.identifier.issn0035-8711
dc.identifier.issn1365-2966
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85088677834en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1204en_US
dc.identifier.urihttps://doi.org/10.1093/mnras/staa201
dc.identifier.urihttps://hdl.handle.net/20.500.12483/11148
dc.identifier.volume493en_US
dc.identifier.wosWOS:000518156100086en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherOxford Univ Pressen_US
dc.relation.ispartofMonthly Notices of The Royal Astronomical Societyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectmethods: data analysisen_US
dc.subjectmethods: observationalen_US
dc.subjectsite testingen_US
dc.titleGlobal Site Selection for Astronomyen_US
dc.typeArticleen_US

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