Improving the estimation of canopy cover from UAV-LiDAR data using a pit-free CHM-based method

• Published in: International journal of digital earth Vol. 14; no. 10; pp. 1477 - 1492
• Main Authors: Cai, Shangshu, Zhang, Wuming, Jin, Shuangna, Shao, Jie, Li, Linyuan, Yu, Sisi, Yan, Guangjian
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 03.10.2021; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Accuracy; Canopies; Canopy; Canopy cover; data collection; ecological models; Environment models; Environmental modeling; environmental models; Forest management; Lidar; light detecting and ranging; pit-free CHM; Plant cover; testing; unmanned aerial vehicle; Unmanned aerial vehicles; within-crown gaps

Accurate and rapid estimation of canopy cover (CC) is crucial for many ecological and environmental models and for forest management. Unmanned aerial vehicle-light detecting and ranging (UAV-LiDAR) systems represent a promising tool for CC estimation due to their high mobility, low cost, and high po...