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Monitoring forest landcover changes in the Eastern Sundarban of Bangladesh from 1989 to 2019

  • Research Article—Hydrology
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Abstract

The present study aims to estimate areal extent of the mangrove forest cover in the eastern Sundarban of Bangladesh from 1989 to 2019 to understand mangrove dynamic over the last 30 years. Freely available Landsat TM of 1989, 2014, and L8 OLI imagery were used to generate land use/land cover (LU/LC) map for the study area using maximum likelihood (MaxLike) algorithm. Results of previous investigations among different scientists and researchers were used to develop a conceptual background and also included in this paper to find out the causes that relate to forest cover change in the study area. Study results show that the vegetation cover of Sharankhola range in Sundarban has decreased by 0.44% over last 30 years (from 1989 to 2019). Water body has increased (1.30%) with the decrease in vegetation cover. Classified map of 2014 and 2019 shows that 2.66% vegetation cover of the study area was lost in 2014 based on 1989 while 2.22% vegetation cover was gained in 2019 based on 2014. The overall accuracy of Landsat TM (1989), TM (2014), and L8 OLI (2019) were 80%, 82.85%, and 84.28%, respectively. Its accuracy would increase if it is supplemented by extensive ground verification data and hybrid satellite data of different spectral and spatial resolution.

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Acknowledgements

This research work was done based on satellite remote sensing technology using maximum likelihood classification approach. We develop a conceptual background and also included in this paper to find out the causes that relate to forest cover change in the study area.

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Correspondence to Ismail Mondal.

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Communicated by Michael Nones, Ph.D. (CO-EDITOR-IN-CHIEF).

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Kumar, M., Mondal, I. & Pham, Q.B. Monitoring forest landcover changes in the Eastern Sundarban of Bangladesh from 1989 to 2019. Acta Geophys. 69, 561–577 (2021). https://doi.org/10.1007/s11600-021-00551-3

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