Remote sensing based investigation of coastal LULC dynamics in the coastal region of Bangladesh

Rapid land-use transition on the landscape is accelerating the overall land cover change by altering naturally productive land into more complex land-uses. This study explored the spatial and temporal dynamics of land use and land cover (LULC) as landscape exploration though satellite imagery in the southwest of Bangladesh from 2000 to 2020. The goal of this study was to quantify the overall trend for different LULC changes using satellite imagery from Landsat TM and Landsat OLI/TIRS. Sequential K-means-based unsupervised and more accurate maximum likelihood classification (MLC) algorithm-based supervised methods were used to analyze land-use change for each year. The trend of land-use changes and transition results between 2000 and 2020 showed a massive increase in built-up (2010.654 ha/year) land-use; 525546.18 ha of forest increase (1.7%) in two decades, whereas 13351.59 ha (1.10%) of forest or plantation area was transformed into the built-up area. Remote sensing (RS) based land dynamics is always land cover analysis, especially for the vast area of interest.