Remote Sensing, GIS and Modelling for Water Resource Management
Volume 2
Springer Nature Switzerland
ISBN 978-3-031-99497-5
Standardpreis
Bibliografische Daten
eBook. PDF
2025
XXII, 788 p. 231 illus., 220 illus. in color..
In englischer Sprache
Umfang: 788 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-99497-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Springer Water
Produktbeschreibung
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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