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MaxFloodCast: Ensemble Machine Learning Model for Predicting Peak Inundation Depth And Decoding Influencing Features
Timely, accurate, and reliable information is essential for decision-makers, emergency managers, and infrastructure operators during flood events.
ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images
The depth from the camera to the door bottom was obtained from the depthmap paired with the Google Street View image.
Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data
The objective of this study is to predict road flooding risks based on topographic, hydrologic, and temporal precipitation features using machine learning models.
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