Biodiversity monitoring is mainly focused on the awareness of the species diversity and habitat dynamism. Coastal habitats are extremely fragile and susceptible in this environment, so the study of vegetation ecology is desired to predict the responses of landscape ecological connectivity. Recently, several amazing frameworks have been projected for evaluating the conservation status of communities or ecosystems. Hence, the present study assimilates a transect method with the Shannon-Wiener Diversity Index (SWDI), Sorenson’s Coefficient (SC) and Hierarchical Cluster Analysis (HCA) to establish the diversity of coastal habitats under topographic variability. A sample survey has been conducted on 75 grids (500 m×500 m) in three transects (Transect- A, B & C), each transect occupied 25 grids which are extended from the southern to northern direction across the shoreline of the study area. Transects have been delineated in three instantaneous sites (Mandarmani, Sankarpur and New Digha sector) based on diverse plant community and topographic variability. The study mainly identifies 106 types of plant species in 75 grids of three transects. Transect-B shows a very high value (4.29) of SWDI because the better abundance of species occurred by this transect rather than transect-A and C. Sorenson’s Coefficient is 0.6885 and 0.7731 of AB, BC and AC transect respectively. The AC-transect occupied the common groups of species based on SC index value (0.7692) due to the topographic predictability. The Present study reveals the interrelationships between plant species and landform units and the study also analyzed the morphological characteristics with the landscape variability. These areas are inadequately susceptible to infrastructure development and contain high soil moisture and subsurface groundwater sources to progress the coastal habitats.