Advancements in Flood Modelling Techniques: Incorporating Remote Sensing and GIS Technologies
Keywords:
Flood Modelling, Remote Sensing, Geographic Information Systems, Machine Learning, Climate Change, Resilience, Hydrological Modeling, Satellite Imagery, Early Warning Systems, Spatial AnalysisAbstract
This review article explores the transformative advancements in flood modelling through the integration of Remote Sensing (RS), Geographic Information Systems (GIS), and Machine Learning (ML) technologies. Flooding, a pervasive and devastating natural phenomenon, necessitates sophisticated modelling techniques for effective risk assessment and management. The integration of RS and GIS provides real-time, high-resolution spatial data, revolutionizing flood extent mapping, terrain analysis, and hydrological modeling. The incorporation of ML and AI algorithms enhances predictive capabilities, automates feature extraction, and optimizes decision-making processes within flood models.
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