Journal of the Indian Society of Remote Sensing, 2026 (SCI-Expanded, Scopus)
The study aimed to investigate the applicability of different MCDA methods in site selection for the ideal observatory, compare MCDA methods, and recommend alternative sites for the construction of the ideal observatory. Using remote access methods and GIS programs, layers were created for the cloud cover, digital elevation model, artificial light, aerosol optical depth, and wind speed data sets. Each of these data layers was assigned a weight using AHP and FAHP methods. Using these weights, the layers were overlaid and alternative areas within the study area were proposed for both methods. The TOPSIS method was used to rank the identified sites within the alternative areas. The AHP method identified % 3.9 of the study area and the FAHP method identified % 2.1 of the study area as the most suitable areas for the construction of an observatory. According to the AHP and FAHP methods, cloud coverage is the most important criterion. While according to the FAHP method, the alternative site No. 8 with an approximate value to the ideal solution index of the Topsis algorithm (Rp) = 0.71 was the most suitable site, according to the AHP method, site No. 6 with an approximate value of (Rp) = 0.84 was determined to be the most suitable site. Consequently, the AHP and FAHP methods provide reliable results in astronomical observatory site selection studies. The FAHP method constrains the alternative sites more than the AHP method and reduces time, energy, and cost during the field test phase.