About the Client

A national disaster management agency responsible for early warning, risk assessment, and mitigation planning for natural disasters including floods, droughts, and landslides. The client required a technology-enabled approach to enhance preparedness and response mechanisms.

The Challenge

Frequent and unpredictable flooding events were disrupting lives, infrastructure, and public services. Traditional flood forecasting methods lacked the spatial granularity and real-time accuracy needed for early intervention and effective resource mobilization.

The Solution

We developed a predictive flood modeling framework using high-resolution optical satellite imagery, digital elevation models, and hydrological data.

Key solution components included:

• Mapping of flood-prone zones using multi-temporal satellite imagery
• Integration of rainfall, drainage, and landform datasets for hydrological modeling
• Use of GIS and remote sensing to simulate flood extent and risk areas
• Visualization of flood scenarios for various return periods (1-in-10, 1-in-25, etc.)
• Development of dashboards for impact estimation and alert dissemination
• Custom map services to support early warning and response teams

The Impact

The solution enabled authorities to make more informed and timely decisions:

• Improved flood forecasting accuracy across vulnerable districts
• Enabled proactive evacuation and emergency planning
• Reduced post-disaster impact through targeted risk mapping
• Reduced data duplication and manual errors
• Strengthened data-driven disaster preparedness workflows
• Created a scalable model for adoption across other hazard-prone regions