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...

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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

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