Student Illinois Institute of Technology, United States
This proposal introduces a machine learning tool utilizing LiDAR scans and clustering for optimized forest management. Census-level mapping enables precise tree segmentation, classification, and thinning prescriptions, streamlining forest upkeep and contributing to conservation efforts, aligning with US government objectives for sustainable forest management.
Learning Objectives:
Understand the integration of LiDAR technology and machine learning in forest management.
Learn techniques for tree segmentation, classification, and thinning prescriptions.
Explore the application of advanced clustering algorithms in optimizing forest management strategies.
