Study of Seasonal Health Tourism in the Caspian Iran Based on Remote Sensing Data

Objective: This study focuses on determining the most favorable seasonal conditions on six popular tourist destinations: Astara, Bandar-Gaz, Babolsar, Gorgan, Ramsar and Rasht. Theoretical Framework: Climate change has a significant impact on the resource base of leisure industry. Iranian sea areas are characterized by atmospheric patterns, thus in the studied area, the climate has several varieties. Method: Landsat and MODIS satellite data were used to estimate the land surface temperature (LST) and NOVA satellite data to evaluate the changes in the sea surface temperature SST. The tourism climate comfort index (TCCI) was calculated for the mentioned destinations in Iran. TTCI values were calculated for a climatological period between 2013–2023, and it was concluded that Bandar-Gaz, Babolsar and Gorgan are ideal to naturopathy on april and september. Results and discussion: Based on the results of TCCI values presented here, future researches could focus on the development of other forms of sustainable tourism, such as bathing, fishing, hiking, hunting, and nautical sports. These activities can contribute to the long-term economic and environmental well-being of the region.

Authors

Publication Details

Journal
Journal of Lifestyle and SDGs Review
Published
2025-03-25
DOI
https://doi.org/10.47172/2965-730x.sdgsreview.v5.n04.pe05497
Primary Topic
Global Healthcare and Medical Tourism
Type
article
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article

Study of Seasonal Health Tourism in the Caspian Iran Based on Remote Sensing Data

Hugo Bautista, Alfiya Zinovyeva, Rahman Zandi, Ruslan Ulengov et al.
Journal of Lifestyle and SDGs Review
Global Healthcare and Medical Tourism
article

Study of Seasonal Health Tourism in the Caspian Iran Based on Remote Sensing Data

Hugo Bautista, Alfiya Zinovyeva, Rahman Zandi, Ruslan Ulengov, М. В. Рожко, Masoud Taqvai
article en

Abstract

Objective: This study focuses on determining the most favorable seasonal conditions on six popular tourist destinations: Astara, Bandar-Gaz, Babolsar, Gorgan, Ramsar and Rasht. Theoretical Framework: Climate change has a significant impact on the resource base of leisure industry. Iranian sea areas are characterized by atmospheric patterns, thus in the studied area, the climate has several varieties. Method: Landsat and MODIS satellite data were used to estimate the land surface temperature (LST) and NOVA satellite data to evaluate the changes in the sea surface temperature SST. The tourism climate comfort index (TCCI) was calculated for the mentioned destinations in Iran. TTCI values were calculated for a climatological period between 2013–2023, and it was concluded that Bandar-Gaz, Babolsar and Gorgan are ideal to naturopathy on april and september. Results and discussion: Based on the results of TCCI values presented here, future researches could focus on the development of other forms of sustainable tourism, such as bathing, fishing, hiking, hunting, and nautical sports. These activities can contribute to the long-term economic and environmental well-being of the region.

Journal of Lifestyle and SDGs ReviewVol. 5(4)
Openalex Percentile: Top 90%
Global Healthcare and Medical Tourism
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