Present study analyses techniques in Remote Sensing (RS) and spatial data in studying the effects of Sea Level Rise (SLR) in the Sundarbans mangrove forest. Its importance in restoring and protecting mangroves is reflected most clearly in Sustainable Development Goal (SDG). Three parameters, including distribution of species, increases in sedimentation, salinity, and flooded areas were analyzed using RS. Data acquired from Landsat Thematic Mapper and field investigations were used to map the forest distribution and MIKE21 and MIKE11 software used to simulate sea level rise scenarios. The analysis showed an increase in the prevalence of Goran (Ceriops) replacing other mangrove species. We also identified there is an upsurge in sedimentation within the Sundarbans is likely to increase with SLR, particularly in river floodplains and increase flood frequency. This will also have salinity intrusion impacts in near future. Our results inform mangrove forest management and sustainable experts about the sedimentation and salt water intrusion spots and priority mitigation areas from mangrove species degradation in Sundarbans mangrove forest.
|Number of pages||12|
|Journal||Indian Journal of Geo-Marine Sciences|
|Publication status||Published - 1 Oct 2018|
- Climate change
- Mangrove species
- Sea level rise
- UN SDG