Thirty-Year Spatiotemporal Change Record of Sundarban Mangrove Forest in Bangladesh

Abstract

Accurate and realistic forest cover change assessment is essential for the conservation and management of the Sundarban mangrove forest of Bangladesh. With these views, an integrated way of the vegetation cover assessment was conducted using time-series Landsat satellite imageries of 1991, 2001, 2011, and 2021. During the last 30-year (1991-2021), variations in four land cover classes viz. healthy vegetation, unhealthy vegetation, water body, and sandbar were recorded. It showed a decreasing trend of forest vegetation and a subsequent increase of water bodies during the study period. The healthy vegetation and unhealthy vegetation decreased at 1.33 and 1.66%, respectively, whereas water bodies increased 2.55% at the same time. The healthy vegetation consistently decreased over the decades, but unhealthy vegetation decreased during the 2001-2011 period. Conversion from healthy vegetation to unhealthy vegetation and unhealthy vegetation to healthy vegetation during 1991-2001 was similar. Such transform was much higher from unhealthy to healthy vegetation during 2001-2011. Transformation of healthy vegetation to unhealthy vegetation was remarkably higher during the 2011-2021 period. Further continuous change detection and classification algorithm (CCDC) showed a stable pattern over the study period without significant breakpoints. This study reveals the need for regular mangrove forest monitoring. The findings of this study can be used as a reference in the formulation and implementation of sustainable mangrove forest conservation and management. Ann. Bangladesh Agric. (2020) 24(2): 15-32

Water and Vegetation Cover Change Detection Using Multispectral Satellite Imagery: A Case Study on Jhenaidah District of Bangladesh

“…Given Bangladesh's heavy reliance on agriculture and vulnerability to climate change, it presents an intriguing case study for investigating water and vegetation cover changes using multispectral satellite images. In a separate investigation, Uzzaman et al (2020) utilized multispectral Landsat satellite imageries of 1991, 2001, 2011, and 2021 to identify transformations in water bodies and vegetation cover within the Sundarbans, an expansive mangrove forest in southwestern Bangladesh. The study revealed a decreasing trend of forest vegetation and a subsequent increase of water bodies during the study period, attributed to a combination of anthropogenic factors like deforestation, coastal accretion, and erosion.…”