Crowns, Competition, and Continuity: A Machine Learning Approach for Annual Yield Prediction of <em>Pinus taeda</em> (L.) Using UAV-LiDAR Data

Barua, Gunjan

Crowns, Competition, and Continuity: A Machine Learning Approach for Annual Yield Prediction of Pinus taeda (L.) Using UAV-LiDAR Data

Gunjan Barua, PhD Student¹, David Carter², Valerie A Thomas¹, Patrick Green³, Phil Radtke⁴, Thomas Pingel⁵, Rachel L Cook⁶, Timothy Albaugh⁴, Rafael Rubilar⁷, Otavio Campoe⁸ and Matthew Sumnall¹, (1)Virginia Polytechnic Institute and State University, Forest Resources and Environmental Conservation, Blacksburg, United States, (2)Michigan State University, Forestry, East Lansing, United States, (3)Virginia Polytechnic Institute and State University, Department of Forest Resource and Environmental Conservation, Blacksburg, United States, (4)Virginia Polytechnic Institute and State University, Forest Resources and Environmental Conservation/, Blacksburg, United States, (5)Binghamton University, Geography, Binghamton, United States, (6)North Carolina State University Raleigh, Forestry and Environmental Resources, Raleigh, United States, (7)University of Concepcion, Forestry, Concepcion, Chile, (8)Federal University of Lavras, Lavras, Brazil