Breast height diameter estimation from high-density airborne LiDAR data

• Main Authors: Bucksch, Alexander, Lindenbergh, Roderik C., Abd. Rahman, Muhammad Zulkarnain, Menenti, Massimo
• Format: Article
• Published: IEEE 2014
• Subjects: HD Industries. Land use. Labor
• Online Access: http://eprints.utm.my/id/eprint/52036/; http://dx.doi.org/10.1109/LGRS.2013.2285471
• Institution: Universiti Teknologi Malaysia

High-density airborne light detection and ranging (LiDAR) data with point densities over 50 points/m2 provide new opportunities, because previously inaccessible quantities of an individual tree can be derived directly from the data. We introduce a skeleton measurement methodology to extract the diam...