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Record Nr. |
UNINA9911057023903321 |
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Autore |
Nath Anindita |
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Titolo |
Shoreline Modification Over the Indian Sundarban : A Geo-informatics and Machine Learning Approach / / by Anindita Nath, Bappaditya Koley, Tanupriya Choudhury |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (171 pages) |
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Collana |
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SpringerBriefs in GIS, , 2367-0118 |
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Disciplina |
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Soggetti |
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Environmental geography |
Geographic information systems |
Physical geography |
Integrated Geography |
Geographical Information System |
Physical Geography |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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