River Flood Prediction Using a Long Short-Term Memory Recurrent Neural Network
No abstract available
Flooding↗
Engineering topics
White, Andrew T.
Publications and source records attributed to White, Andrew T..
Using Deep Learning to Predict Yearly Wildfire Potential from Antecedent Land Surface and Meteorological Data
No abstract available
White, Andrew T.↗
Using Machine Learning to Develop a Predictive Model for Future Fire Seasons
The deep learning model shows promise for predicting areas of high wildfire potential. Full evaluation of the model performance is ongoing. Currently, the developed deep learning model is better overall at predicting the number of fires over the acres burned. Acres burned is dependent on location, suppression plan, and current conditions. Antecedent conditions are only one piece of the equation. In-season changes are not accounted for. An ignition source is required, which further complicates the model training and prediction.
White, Andrew T.↗
Applying Antecedent Land Surface Conditions and Machine Learning to Wildfire Events and Seasonal Burn Prediction
No abstract available
Wildfire↗
Exploring the Role of Antecedent Land Surface Conditions Associated with Wildfire Events in the Western United States
No abstract available
land surface modeling↗
Exploring the Use of Machine Learning to Develop a Predictive Model for Future Fire Seasons
No abstract available
Machine Learning↗