A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths

Keyphrases

• Nonlinear Diffusion 100%
• Light Detection 100%
• Diffusion Path 100%
• Geometric Framework 100%
• Geodesic Path 100%
• Channel Network Extraction 100%
• High-resolution 50%
• Proposed Methodology 50%
• Channel Network 50%
• Creek 50%
• Computational Efficiency 50%
• Northern California 50%
• Accurate Localization 50%
• Accumulation Area 50%
• Geodesy 50%
• Skunk 50%
• Range Data 50%
• Remove Noise 50%
• Eel River 50%
• Automatic Extraction 50%
• Detection Data 50%
• Geomorphological Features 50%
• Minimal Effort 50%
• Network Extraction 50%
• Contour Curvature 50%
• Flow Accumulation 50%
• Digital Elevation Model Data 50%

Earth and Planetary Sciences

• California 100%
• Elevation Data 100%
• Computational Efficiency 100%

Engineering

• Light Detection and Ranging 100%
• High Resolution 50%
• Computational Efficiency 50%