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.
| Main Authors: | , , |
|---|---|
| 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.