Remote Sensing, GIS and Modelling for Water Resource Management Volume 2 /
This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte...
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| Autor corporatiu: | |
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| Altres autors: | , , , , , |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edició: | 1st ed. 2025. |
| Col·lecció: | Springer Water,
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| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-99497-5 |
| Etiquetes: |
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| Sumari: | This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place. |
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| Descripció física: | 1 online resource (XXII, 788 p. 231 illus.). 220 illus. in color. |
| ISBN: | 9783031994975 |
| ISSN: | 2364-8198 |
| DOI: | 10.1007/978-3-031-99497-5 |