Project cooperationUpdated on 27 March 2025

Geotechnical Intelligence for Landslide Monitoring & Prediction (GEO-INTEL)

Tuncay Akal

Director at SUASIS Sualtı Sistemleri Teknoloji Geliştirme San. Tic. Ltd. Şti.

Kocaeli, Türkiye

About

Project Idea – GEO-INTEL: Geotechnical Intelligence for Landslide Monitoring & Prediction

GEO-INTEL proposes a transformative shift from reactive hazard response to predictive, AI-driven geotechnical intelligence. Landslides—whether triggered by rainfall, seismic activity, or human-induced ground alteration—pose escalating threats to lives, infrastructure, and critical operations in both natural and man-made terrains. GEO-INTEL aims to address this challenge by delivering a modular, intelligent monitoring platform capable of providing real-time awareness and early warnings across a wide range of geotechnical risk settings.

At the core of GEO-INTEL lies a multi-modal sensor network integrated with physics-informed machine learning (PIML) and edge computing capabilities. The system fuses input from key parameters such as pore pressure, soil moisture, slope deformation, seismic activity, and weather trends—enabling both short-term failure detection and long-term stability assessment.

The solution is supported by:

  • A physical landslide mockup testbed for controlled R&D and model training,

  • Field-ready sensor nodes capable of real-time data processing and adaptive sampling,

  • GIS-enabled dashboards for intuitive visualization, decision support, and response planning.

Unlike generic monitoring systems, GEO-INTEL combines traditional geotechnical principles (e.g., Mohr-Coulomb failure theory) with state-of-the-art ML models to deliver explainable and actionable risk indicators. Its modular design allows tailored deployment—from rural hillside villages to heavily industrialized open-pit mines.

Applications and Impact

GEO-INTEL is designed for scalable deployment in:

  • Natural slopes vulnerable to rainfall or earthquake-induced failures,

  • Open-pit mines where accumulated waste material or excavation slopes pose ongoing hazards,

  • Urban development zones on reclaimed or unstable land,

  • Infrastructure corridors, including railways, highways, and tunnels,

  • Remote mountainous regions with limited real-time data access.

The system’s real-time analytics and multichannel alerting are particularly valuable to:

  • Civil protection agencies, for early warning and evacuation planning,

  • Mining operators, for continuous pit wall and overburden monitoring,

  • Public infrastructure managers, for proactive maintenance and intervention,

  • Academic partners, for model validation and experimental geomechanics.

Strategic Fit with Horizon Europe Goals

GEO-INTEL directly supports the EU Mission for Climate Adaptation and Societal Resilience, and contributes to:

  • Disaster Risk Reduction and Early Warning Systems

  • Secure and Smart Infrastructure

  • AI and Edge Technologies for Safety-Critical Systems

  • Digital Earth and Geospatial Intelligence

With its emphasis on sustainability, interpretability, and open integration, GEO-INTEL provides a viable pathway toward climate-resilient geotechnical infrastructure, addressing both urgent risks and long-term resilience.

Marketplace Opportunities

GEO-INTEL is commercialized as a flexible platform for stakeholders seeking advanced landslide mitigation and geotechnical intelligence capabilities:

Opportunities and Target Users

Monitoring in Open-Pit Mines: Mining operators managing high-volume fill zones and pit wall stability risks

Public Risk Management: Municipalities and civil protection agencies requiring early warning systems

Infrastructure Safety: Transport authorities and contractors monitoring tunnels, bridges, and cut slopes

Smart Construction: Developers building on unstable ground needing long-term deformation tracking.

Academic & R&D Use: Universities and labs conducting slope modeling and predictive hazard research

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