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. The geomorphological characteristics of this region are quite distinct from other parts of India due to its low elevation, high tidal range, and vast expanse of shallow water bodies. The chapters here cover the basics of the use of geoinformatics applications for shoreline analysis and move to a detailed description of both short- and long-term shoreline change using automated Digital Shoreline Change Analysis (DSAS). The book also covers erosion-accretion hazard zone mapping and shoreline vegetation mapping.

Table des matières

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 Erosion–Accretion 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.

A propos de l'auteur

Dr. Anindita Nath is a geospatial sciences expert currently working in the Department of Geography at Bankim Sardar College, West Bengal, India, and a former researcher at Jadavpur University. Her specialization covers a broad range of environmental and geographical issues, including coastal hazards and management, climate change, land degradation, landslide hazards, flood assessment, riverbank erosion, and sustainable development. Dr. Nath is a significant figure in academic publishing, with numerous national and international research papers and book chapters in international reputed to her credit. She has edited one published volume (Springer) and is preparing four upcoming edited volumes (two by Elsevier, two by Springer, 2025-26), in addition to authoring a book scheduled for publication by Springer Nature (2025-26). She is actively involved in guiding future research as a co-supervisor of a doctoral student at the University of Petroleum and Energy Studies, Dehradun, India and serves as a reviewer for reputed international journals published by Elsevier, Springer, and Taylor & Francis. 
Dr. Bappaditya Koley is a distinguished expert in geospatial sciences currently working in the Department of Geography at Bankim Sardar College, West Bengal, India, and a former researcher at Jadavpur University, Kolkata, India. His core areas of expertise include natural hazards and disaster risk reduction, climate change, machine learning, and GeoAI. He focuses on advancing interdisciplinary approaches for sustainable development. Dr. Koley has a strong publishing portfolio, including 33 national and international research articles and book chapters in international reputed. He is a significant figure in academic publishing, serving as an editor for one published volume (Springer Nature) and four upcoming edited volumes (two by Elsevier, two by Springer Nature, 2025-26), in addition to authoring a book forthcoming from Springer Nature (2025-26). He also served as a co-director for an ICSSR (ERC, Kolkata) funded minor research project on “Forestry, Fishery and Sustainable Livelihood: An Assessment for some selected areas of Indian Sundarbans”. Furthermore, he was a center co-coordinator at Bankim Sardar College, running IIRS (ISRO) Outreach Programmes (2019–2023). He is a reviewer for reputable journals (Elsevier, Springer Nature, Taylor & Francis) and a Guest Editor for an MDPI (Designs Journal) Special Issue on “Designing of Artificial Intelligence and Machine Learning and Convolutional Neural Network Based Architectures and Its Various Applications in the Field of Engineering”.
Prof. Dr. Tanupriya Choudhury is a highly accomplished academic with 15 years of experience in teaching and research. He holds a B.Tech and M.Tech in Computer Science and Engineering from West Bengal University of Technology and Dr. M.G.R University, respectively, and a PhD from Jagannath University Jaipur (2016). He is currently a Professor at School of Computer Sciences, University of Petroleum and Energy Studies at Dehradun in Uttarakhand, India. His career includes roles at Symbiosis International University, Graphic Era Deemed to be University, Dehradun, and Amity University Noida, among others. Dr. Choudhury's expertise includes Human Computing, Soft Computing, Cloud Computing, and Data Mining. He has an impressive record of 25 patent filings and 16 software copyrights. He has authored over 100 Scopus-indexed research papers, presented at numerous international conferences, and delivered guest lectures globally. He received the Global Outreach Education Award for Excellence in Best Young Researcher Award (2018). Professionally, he is a lifetime member of IETA and is affiliated with IEEE and IET (UK). He is also a Technical Adviser for several corporate entities, serves as an editor for reputed journals, and holds key positions in organizations like the INDO-UK Confederation of Science, Technology and Research Ltd. and IETA (India).

Résumé

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. The geomorphological characteristics of this region are quite distinct from other parts of India due to its low elevation, high tidal range, and vast expanse of shallow water bodies. The chapters here cover the basics of the use of geoinformatics applications for shoreline analysis and move to a detailed description of both short- and long-term shoreline change using automated Digital Shoreline Change Analysis (DSAS). The book also covers erosion-accretion hazard zone mapping and shoreline vegetation mapping.

Détails du produit

• Auteurs: Tanupr Choudhury, Tanupriya Choudhury, Bappaditya Koley, Anindita Nath
• Edition: Springer International Publishing
• Langues: Anglais, Allemand
• Format d'édition: Livre de poche
• Sortie: 13.03.2026
• EAN: 9783032139801
• ISBN: 978-3-032-13980-1
• Illustrations: Approx. 120 p.
• Thème: SpringerBriefs in GIS
• Catégories: Sciences naturelles, médecine, informatique, technique > Sciences de la Terre > Géographie; Geographische Informationssysteme (GIS) und Fernerkundung, Physische Geographie und Topographie, Physical geography, Geographical Information System, Geomorphology, Integrated Geography, Geoinformatics, NDVI, Mangrove forest, Accretion and erosion, Digital shoreline change analysis