Flood Uncertainty Estimation Using Deep Ensembles

Flood Uncertainty Estimation Using Deep Ensembles

We propose a probabilistic deep learning approach for the prediction of maximum water depth hazard maps at high spatial resolutions, which assigns well-calibrated uncertainty estimates to every predicted water depth. Efficient, accurate, and trustworthy methods for urban flood management have become...

Full description

Bibliographic Details
Main Authors: Priyanka Chaudhary, João P. Leitão, Tabea Donauer, Stefano D’Aronco, Nathanaël Perraudin, Guillaume Obozinski, Fernando Perez-Cruz, Konrad Schindler, Jan Dirk Wegner, Stefania Russo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Water
Subjects:
flood prediction
deep learning
uncertainty estimation
Online Access:https://www.mdpi.com/2073-4441/14/19/2980

Internet

https://www.mdpi.com/2073-4441/14/19/2980

Similar Items