Shoreline modification over the Indian Sundarban : a geo-informatics and machine learning approach /

This SpringerBrief uses geospatial techniques to assess shoreline change dynamics in the Indian Sundarban, a unique region located in the delta of three major rivers - the Ganges, Brahmaputra and Meghna - in India and Bangladesh.It is one of the largest mangrove forests in the world.

Bibliographic Details
Main Authors: Nath, Anindita (Author), Koley, Bappaditya (Author), Choudhury, Tanupriya (Author)
Format: eBook
Language:English
Published: Cham : Springer, [2026]
Series:SpringerBriefs in GIS.
Subjects:
Table of Contents:
  • 1 Unveiling the Geomorphological, Hydrometeorology and Geological Insights of the Indian Sundarban
  • 2 Geo-informatics Applications on Shoreline Shifting Analysis
  • 3 Exploring Short-Term Shoreline Dynamics in the Indian Sundarbans: A Digital Shoreline Change Analysis (DSAS) Approach
  • 4 Evaluating Long-Term Shoreline Shifts in the Indian Sundarbans Using Digital Shoreline Change Analysis (DSAS)
  • 5 Shifting Shores and Risk Zones: DSAS Based ErosionAccretion Mapping in the Indian Sundarbans
  • 6 Decoding Landscape Transformation: ML and Geospatial Techniques for Land Use/Land Cover Mapping in the Indian Sundarbans
  • 7 Exploring the Potential of Erosion-Accretion Zonation Mapping to Assess Short and Long-Term Shoreline Changes.