Section1 Remote Sensing of Mangroves.
1: Remote Sensing of Mangroves.
2: Does mid-resolution Landsat data provide sufficient accuracy for image classification and mapping at species level? A case of the Bangladesh Sundarbans, Bay of Bengal
3: Effect of Statistical Relative Radiometric Normalization on Spectral Response of Mangrove Vegetation of Indian Sundarban A Comparative Performance Evaluation on Sentinel 2A Multi-Spectral Data
4: Remote Sensing as a tool for Mangrove ecosystem mapping and monitoring: On Sundarbans perspective
Section 2 Ecology of Sundarbans a geo-informatics approach
5: Plant Diversity Assessment in Indian Sunderban Mangroves: A Geoinformatics Approach
6: Spatio-temporal distribution of microforams in the Sundarban mangrove forest, Bangladesh: Response to ecological imbalance
7: Change analysis of biophysical parameters of mangrove forests over Indian Sundarbans using geospatial techniques: A special emphasis on Leaf Area Index and Percentage Canopy Cover
Section 3 Ecosystem services analysis using GIS
8: Economic valuation of ecosystem services of Sundarbans Natural Reserve Region, India
9: An appraisal of tourism industry as alternative livelihood in Indian Sundarban
10: An analysis of Small-scale Fisheries Management status by focusing on degrading Fisheries Resources in the Sundarbans
Section 4 Vulnerability of Sundarbans through geospatial analysis
11: BiophysicallCİ