Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion

Flood Hazard Assessment in Jabodetabek: Benchmarking Three Machine Learning Classification Models

Flood disasters are Indonesia's most persistent and economically disruptive natural hazard, with the Jabodetabek metropolitan region particularly vulnerable because of its low-lying coastal topography, high population density, progressive land subsidence, and accelerating urbanization-driven imperviousness. Conventiona...

Machine learning based assessment and prediction of spatiotemporal land use and land cover dynamics in a Tropical River basin

Hybrid Ensemble Machine Learning for Landslide Susceptibility Mapping and Management Planning in the Kamchik Pass, Uzbekistan

Landslide susceptibility assessment is essential for maintaining resilient mountain transport corridors where slope failures can disrupt mobility, freight movement, and economic activity. This study evaluated standalone and hybrid machine-learning models for the Kamchik Pass corridor of Uzbekistan, which carries the A-...

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrologica...

Integrated morphometric and machine learning approach for prioritization of erosion-prone sub-watersheds

Soil erosion is a critical global environmental challenge that threatens food security and undermines sustainability efforts worldwide. The accelerating rate of erosion leads to severe land degradation, making it essential to adopt strategic and localized resource management approaches. Prioritizing sub-watersheds allo...

Geospatial Artificial Intelligence (GeoAI) Framework for Flood Susceptibility Mapping Using a Hybrid SVM–XGBoost Model

The Gharb Plain, a vital socioeconomic and agricultural region in northwestern Morocco, faces persistent threats from catastrophic flooding driven by its low-lying topography and complex hydrological networks. Conventional flood assessment methodologies often fail to capture the highly non-linear environmental dynamics...