IMPACT OF CLIMATIC FACTORS ON TOURISM DEVELOPMENT: GIS AND REMOTE SENSING-BASED ANALYSIS
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Abstract
This study analyzes the impact of climatic factors on the tourism potential of the Jizzakh region based on Geographic Information Systems (GIS) and Remote Sensing (RS) data. Using ERA5 reanalysis climate data, Sentinel-2 imagery, and the SRTM Digital Elevation Model (DEM), parameters such as temperature, precipitation, solar radiation, and wind speed were examined and evaluated through the Tourism Climate Index (TCI) model. As a result, the most favorable seasons and areas for tourism activities were identified according to the climatic conditions of the region.
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References
1.Mieczkowski, Z. (1985). The Tourism Climatic Index: A Method of Evaluating World Climates for Tourism. — bu TCI metodologiyasining original ishlanmasi.
2.Kalimeris, P., Bozionelos, G., & Botsaris, N. (2014). Climatology and trend of tourism climate index over China. Science of the Total Environment.
3.Scott, D., & McBoyle, G. (2001). Using a “tourism climate index” to examine the implications of climate change for climate as a tourism resource. In Climate change in the North Atlantic region: Implications for coastal environments. (Bu maqola TCI va turizm-klimat munosabatini tahlil qiladi)
4.Harishnaika, N., et al. (2023). Geospatial investigation of site suitability for ecotourism. Science of the Total Environment.
5.Yasin, K. H., et al. (2023). GIS-based ecotourism potentiality mapping in the East. — geografik axborot tizimlari yordamida ehtimoliy ekoturizm zonalarini aniqlash misolini bayon etadi.
6.Huang, Q., et al. (2024). An Approach for Mapping Ecotourism Suitability Using Geo-Spatial Data and Machine Learning. Land.
7.Chandel, R. S., et al. (2023). Assessing Sustainable Ecotourism Opportunities in India using Remote Sensing and GIS. Sustainability.