Case Studies / 04

Fieldwork, not demos.

Selected projects from research, government and industry engagements — each built end-to-end: sensor integration, modeling, validation, and delivery.

GeoAI · Hazard

U.S. Army Corps of Engineers (USACE) · USA

Flood Modeling & Prediction with Ensemble ML

Ensemble machine learning over DEM, hydrological, geological and meteorological variables — turning flood susceptibility into a per-basin map refreshable in under two hours.

97%

AUC on held-out flood inventory

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SAR · UAVSAR · Hazard ML

U.S. Army Corps of Engineers (USACE) & NASA · Vicksburg, USA

Levee Failure Prediction & Flood Resilience Monitoring

Combining SAR-based soil moisture analysis with NASA UAVSAR datasets to flag stressed levee segments before visible failure — turning radar physics into a per-segment hazard map.

levee health classes

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GeoAI · Hazard · Wildfire

Hazard Modeling & Disaster Resilience

Anthropogenic Wildfire Ignition Modeling Using Spatial Interaction Analytics

Predictive ignition models built on transportation-network proximity, urban-fringe density gradients, and seasonal fire history — turning anthropogenic geometry into actionable wildfire risk maps.

seasonal regimes modeled

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LiDAR

Electric Utility Operator

Utility Line Vegetation Interference

Vectorized poles and lines over classified point clouds. Detected vegetation interference, measured tree height vs. lines, distance from lines to buildings, elevation-colored hazards.

COVID-19 Infection Potential

Integrated vulnerability indices from mobility, socio-economic, environmental variables. Mobility an influential driver; socio-economic disparity amplifies outcomes. SVM classification with physiographic and traffic features.

Wireless Sensor Deployment

Designed algorithms for optimal sensor placement over real terrain surfaces, optimizing coverage while minimizing sensor count and visibility corridors.

Terrain-aware

optimization

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