An End‐To‐End Flood Stage Prediction System Using Deep Neural Networks

Abstract The use of automated methods for detecting and classifying different types of labels in flood images have important applications in hydrologic prediction. In this research, we propose a fully automated end‐to‐end image detection system to predict flood stage data using deep neural networks...

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Bibliographic Details

Published in:	Earth and Space Science
Main Authors:	L. Windheuser, R. Karanjit, R. Pally, S. Samadi, N. C. Hubig
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2023-01-01
Subjects:	U‐Net Convolutional Neural Networks flood image detection Long Short‐Term Memory flood stage data the USGS live webcam images
Online Access:	https://doi.org/10.1029/2022EA002385