AAG Annual Meeting 2025

 

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🧠 Why Medial Axis Transform?

The Medial Axis Transform is a mathematical technique that reduces a shape to its central "skeleton" by identifying points equidistant from its boundaries. In the context of river mapping:

• It provides a topologically accurate centerline
• Enables automated width estimation at each point along the river
• Works well with binary water masks derived from SAR or optical imagery

By applying MAT to classified waterbody polygons, we can extract centerlines that are both geometrically faithful and computationally efficient—a major step forward for large-scale river monitoring.

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🏆 Recognition & Impact

This work was recognized by the Geographic Information Science and Systems Specialty Group (GISS-SG) at AAG, highlighting its contribution to advancing geospatial methods in hydrology and environmental monitoring.

The method is particularly useful for:

• Floodplain mapping
• River migration analysis
• Hydraulic modeling
• Change detection in regulated vs. unregulated systems

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🔗 What’s Next?

I’m currently integrating this MAT-based approach with:

• Sentinel-1A SAR imagery for dynamic water detection
• Explainable AI (SHAP) to understand geomorphic drivers
• Deep learning models for river classification and evolution tracking

This is part of my broader PhD research on river meander dynamics in the Southeastern U.S., where I’m combining remote sensing, geomorphology, and machine learning to better understand how rivers respond to natural and human-induced changes.

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📣 Let’s Connect!

If you're interested in river science, remote sensing, or geospatial AI, I’d love to connect. You can:

• Follow my work on ResearchGate
• Subscribe to my YouTube channel for tutorials and research explainers
• Reach out for collaboration or discussion!