FLASH FLOOD SUSCEPTIBILITY MAPPING USING ELEVEN MACHINE LEARNING MODELS: CASE OF WADI M'ZAB VALLEY IN GHARDAIA, ALGERIA

Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction

This study presents two machine learning models, namely, the light gradient boosting machine (Lig

PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR MAPPING AND FORECASTING OF FLASH FLOOD SUSCEPTIBILITY IN TETOUAN, MOROCCO

Abstract. Since the industrial revolution, the world is experiencing a huge change in its climate, w

Akajiaku11/Flood-Susceptibility-Mapping-Using-Machine-Learning-and-Morphometric-Analysis

This project integrates Machine Learning (ML) techniques and morphometric analysis to assess flood s

Flood susceptibility mapping using neural network based models in Morocco: Case of Souss Watershed

The global climate situation becomes more and more critical due to the impacts of climate change esp

Google Earth Engine and Machine Learning for Flash Flood Exposure Mapping—Case Study: Tetouan, Morocco

Recently, the earth’s climate has changed considerably, leading to several hazards, including flash

Integrated flood susceptibility mapping using machine learning and geospatial techniques: a case study of Imo State, Southeastern Nigeria