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A machine learning approach to monitoring and forecasting spatio-temporal dynamics of land cover in Cox’s Bazar district, Bangladesh from 2001 to 2019

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This study uses machine learning techniques to monitor the areal extent of land use land cover (LULC) classes in Cox’s Bazar district, a well-known tourist destination in Bangladesh from 2001 to 2019. The main objective of this study is to quantify the changes in LULC classes during this period and forecasting the areal extents classes for 2019 and 2025. |

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