IMPACT OF CLIMATIC FACTORS ON TOURISM DEVELOPMENT: GIS AND REMOTE SENSING-BASED ANALYSIS

Authors

  • Sarvar Narzullaevich Abdurakhmanov, Shakhnoza Ashurbekovna Umurzakova Associate Professor, Department of Geodesy and Geoinformatics, “TIIAME” National Research University, Tashkent, Uzbekistan, Independent Researcher, Department of Geodesy and Geoinformatics, “TIIAME” National Research University, Tashkent, Uzbekistan

DOI:

https://doi.org/10.55640/

Keywords:

tourism, climatic factors, ERA5, TCI, GIS, remote sensing, Jizzakh region, temperature, precipitation, solar radiation, sustainable tourism.

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.

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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.

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Published

2025-11-05

Issue

Vol. 4 No. 10 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

IMPACT OF CLIMATIC FACTORS ON TOURISM DEVELOPMENT: GIS AND REMOTE SENSING-BASED ANALYSIS. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(10), 21-24. https://doi.org/10.55640/

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