article · Geomatics Natural Hazards and Risk

Integrating geospatial data and hybrid machine learning models for landslide susceptibility assessment in semi-arid environments

Hassan Ait Naceur
Brahim Igmoullan
Brahim Igmoullan
Mustapha Namous
Javed Mallick
Youssef Lassiane
Hoda Benazun
Hoang Thi Hang
Hazem Ghassan Abdo

2026Open accessUniversité Sultan Moulay Slimane

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

Landslides and related hazards
Tree Root and Stability Studies
Synthetic Aperture Radar (SAR) Applications and Techniques

Sustainable Development Goals

13Climate Action

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1080/19475705.2026.2625403

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.