Comprehensive evaluation of machine learning algorithms for flood susceptibility mapping in Wardha River sub-basin, India

A Sharma, S Nerkar, R Banyal, M Poonia… - Acta Geophysica, 2024 - Springer
Abstract Machine learning offers a powerful and versatile approach to flood susceptibility
mapping, enabling us to leverage complex data and improve prediction accuracy. Given the …

Integrating Satellite Images and Machine Learning for Flood Prediction and Susceptibility Mapping for the Case of Amibara, Awash Basin, Ethiopia

GK Wedajo, TD Lemma, T Fufa, P Gamba - Remote Sensing, 2024 - mdpi.com
Flood is one of the most destructive natural hazards affecting the environment and the
socioeconomic system of the world. The effects are higher in the developing countries due to …