Abstract
Bangladesh is a country in South Asia with full of natural beauty, from beaches to hilly regions, forests, and waterfalls. The tourism sector of the country has been emerging over the past few years and creating employment, innovation, and new infrastructures. The tourist spots of Bangladesh are scattered all over the country. This paper focuses mainly on the hilly areas of Chittagong Hill Tracts (CHT), namely Bandarban, Rangamati, and Khagrachari. This paper aims to analyze the change in land cover due to the growth in tourism in the Chittagong Hill Tracts using Remote Sensing. The use of remote sensing (RS) together with Google Earth Engine (GEE) has been proved to be effective in monitoring and analyzing land use/land cover changes (LULC). The purpose of this study is to use the application of multi-temporal satellite image data and GEE for monitoring changes in land cover and analyzing the dynamics and change in the built-up area of Chittagong Hill Tracts due to tourism over the past ten years. The performance of the classification of the land cover change is evaluated, and the accuracy assessment is determined from the confusion matrix. The error analysis, limitations, and possible work scope in the future are also discussed in this paper.
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Anjum, F. et al. (2021). Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12799. Springer, Cham. https://doi.org/10.1007/978-3-030-79463-7_15
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DOI: https://doi.org/10.1007/978-3-030-79463-7_15
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