Modelling agricultural transformation: A remote sensing-based analysis of wetlands changes in Rajshahi, Bangladesh

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Attribution Non-Commercial No Derivatives / Atribución-No Comercial-No Derivadas (CC BY-NC-ND)
Artículo de revista
Environmental Challenges
Autor (es): 
Hossain F.
Rana M.M.P.
Moniruzzaman M.
Editor (es): 

Agricultural transformation is one of the important factors of rural planning and sustainable land management. There are natural and man-made reasons of this transformation, which brings both positive and negative impacts on the physical environment, food security, and human livelihoods. This study aims to explore a case of land use conversion from traditional agricultural land to the man-made wetland for fisheries in Rajshahi, Bangladesh. The conversion might be a result of purposeful land use and land cover changes to continue agricultural production for the market demands. A hybrid model of logistic regression and water index has been used to investigate the dynamics of LULC (Land Use Land Cover) changes. Moderate-resolution multi-temporal Landsat imageries of 2000, 2010, and 2020 have been used for visual interpretation and quantitative analysis. During the study period of 20 years, wetlands for entrepreneurial pond culture were remarkably increased, while agricultural land and vegetation experienced a decreasing trend. It is predicted that wetlands are going to be further increased by diminishing agricultural land and vegetation until 2030. Despite the fact of suitable data unavailability, this study also shows that the remote sensing approach provides a powerful tool for analysing and monitoring spatiotemporal agricultural transformation. Moreover, the empirical findings of land use modelling might be useful for agricultural planning and decision-making in rural Bangladesh.

Año de publicación: 
Palabras clave: 
Agricultural land
Water index
Fish farming