Development of an Automated Method for Flood Inundation Monitoring, Flood Hazard and Soil Erosion Susceptibility Assessment Using Machine Learning and AHP-MCE Techniques
Abstract:Operational large-scale flood monitoring using publicly available satellite data is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6-day intervals) flood mapping day and night, even in cloudy monsoon seasons. Automated flood inundation area identification in near-real-time involves advanced geospatial data processing platforms such as Google Earth Engine (GEE) and robust methodology (Otsu’s algorithm). The current study employs the Sentinel-1 microwave data for flood ex… Show more
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