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Smart Landslide Early Warning System

Forecast the Risk Before It Happens. Act Before It Escalates. A breakthrough early warning platform that doesn’t just detect landslide risks — it predicts them. With precision. At scale. In time.

SLEWS gives disaster management teams the time and insights they need to act fast. It brings together data from weather stations, satellite imagery, rainfall patterns, soil maps, and past landslide records — all in one place. Using advanced AI and GIS mapping services, the system analyses the historical data and then forecasts where and when a landslide might happen, helping front liners to make decisions that save lives and protect infrastructure.

Technologies Behind the Solution

Smart Landslide Early Warning System

01

AI and ML analyze data to forecast landslides and identify patterns. The solution continuously improves its forecasting capabilities as more data is collected.

Internet Of Things (IoT)

02

IoT sensors enable real-time environmental monitoring, detecting early warning signs of landslides.

Geographic Information Solutions (GIS)

03

GIS provides real-time geospatial data, allowing teams to visualize landslide zones, coordinate responses, and manage resources efficiently in complex terrain.

ICT Infrastructure Development

04

Robust ICT infrastructure supports the integration of data and communication solutions, ensuring seamless operations during landslide management.

What Does SLEWS Actually Do?

Captures & Centralizes

Monitors in Real Time

Ingests live data from IoT weather stations, remote sensing, and environmental feeds.

Captures & Centralizes

Analyzes & Maps Susceptibility

Combines climatic, geological, and human exposure data into dynamic risk layers.

Captures & Centralizes

Forecasts Landslide Events

Uses AI/ML models to identify probable triggers and forecast high-risk zones.

Captures & Centralizes

Visualizes Intuitively

GIS-based dashboards and mobile apps provide accessible insights for on-ground teams.

Smart Features, Stronger Outcomes.

AI-powered Forecasting
Leverages AI and machine learning to analyze data, helping emergency teams optimize preparedness and resource allocation.
Early Warning and Multi-Channel Alerts
Issues timely early warnings and delivers alerts via SMS and email, ensuring all stakeholders are promptly informed and prepared.
Proactive Resource Allocation
Uses predictive analytics to pre-position resources in high-risk areas for faster response and better outcomes.
Risk Mapping and Reporting
Automatically generates risk maps and detailed reports, helping to prioritize high-risk zones and enhance future planning efforts.
AI Landslide Monitoring System
SOP Mapping and Compliance
Monitors Standard Operating Procedure (SOP) adherence during emergencies, identifying any deviations to improve future response protocols.
Comprehensive Data Integration
Aggregates diverse data inputs to provide a 360-degree view for accurate and reliable landslide forecasting.
Forecasting Analytics and Decision Support Tools
Leverage AI and ML to predict rainfall-induced landslides, facilitating preemptive action and efficient resource deployment. Decision support tools prioritize response efforts.
Enterprise GIS Platform for Real-Time Monitoring
Integrates real-time geospatial data to visualize high-risk areas, aiding authorities in monitoring, decision-making, and resource deployment.

Smart Landslide Early Warning System in Action

Enhancing Methods To Predict Natural Disasters like landslides With An Advanced Landslide Warning System

SLEWS analyzes past landslide events — mapping what triggered them, what could’ve been prevented, and how to respond better. Its predictive engine identifies high-risk zones, enabling smarter alerts, resource planning, and stronger regional preparedness.