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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: Biophysical vulnerability assessment of Indian Sundarban Mangrove 12: Monitoring the effects of the tropical cyclone `Amphan on the Indian Sundarbans using Microwave remote sensing. 13: Satellite Remote Sensing to evaluate the Social Consequences of Bio-physical Damage: A Case Study of Cyclone Amphan in Sundarbans Adjoining Areas in Bangladesh 14: Vulnerability to saltwater intrusion along coastal Bangladesh using GIS and hydrogeological data 15: Salinity dynamics in the Hooghly-Matla estuarine system and its impact on the mangrove plants of Indian Sundarban

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