Impact assessment of environmental disturbances triggering aquaculture land suitability mapping using AHP and MCDA techniques

The examination is to emphasize the coastal dynamics and aquaculture site exploration through multi-criteria decision analysis (MCDA) with analytical hierarchy process (AHP) methods in parts of the Indian Sundarbans. The aim of this examination is to ecological disturbances and potential aquaculture land identification by applying satellite Landsat datasets and other certain datasets. Saltwater intrusion because of flood inundation and anthropogenic actions were triggering factors for deforestation, salinity increase, and shoreline change; therefore, diagraming the environmental problems was also significant. Flood-inundated lands are calculated through Google Earth Engine (GEE) platform. Index-based mapping was applied for environmental degradation throughout the study periods. Around 12 certain criteria are applied for the examination of potential fishery site selection. In this process, the area is characterized by different suitable sites for aquaculture land development. The model output designates the place and magnitude for the expansion of this region in different suitability measures viz., very high suitable 0.16% (1.91 km2), high suitable 20.98% (244.59 km2), moderate suitable 54.94% (640.43 km2), low suitable 12.43% (144.83 km2), very low suitable 0.12% (1.35 km2), and not suitable 11.37% (132.53 km2).Remote sensing (RS) and GIS applications are applied for the aquaculture land identification based on selected criteria. These outcomes help to generate employment, creative application of the region, and informally fluctuated and economically retrograde people of this location. The analysis helps organizers to design plans to connect maximum fish biomass and to originate community assistance from inland open waters in the area.