Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction

Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction

A low-cost but accurate remote-sensing-based forest-monitoring tool is necessary for regularly inventorying tree-level parameters and stand-level attributes to achieve sustainable management of timber production forests. Lidar technology is precise for multi-temporal data collection but expensive. A...

Full description

Bibliographic Details
Main Authors: Tatsuki Yoshii, Naoto Matsumura, Chinsu Lin
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
UAV-ALS point cloud georeferencing
improved ICP via invariant ground surface feature
tree parameterization
airborne lidar sensing
UAV optical sensing
sustainable timber production
Online Access:https://www.mdpi.com/2072-4292/14/7/1713

Internet

https://www.mdpi.com/2072-4292/14/7/1713

Similar Items