LiDAR as a tool for timber assortment assessment and characterization in mountain forests

• Autor: Alvites Diaz, Cesar Ivan
• Formato: tesis doctoral
• Fecha de Publicación: 2020
• Institución: Superintendencia Nacional de Educación Superior Universitaria
• Repositorio: Registro Nacional de Trabajos conducentes a Grados y Títulos - RENATI
• Lenguaje: inglés
• OAI Identifier: oai:renati.sunedu.gob.pe:renati/6949
• Enlace del recurso: https://renati.sunedu.gob.pe/handle/sunedu/3452418
• Nivel de acceso: acceso abierto
• Materia: Bosques; Manejo forestal; Nube de puntos; Teledetección; Lásers; https://purl.org/pe-repo/ocde/ford#4.01.02

The aim of the thesis was to develop a robust procedure for timber assortment estimation of trees in a mixed-species and multi-layered forest using LiDAR data. To achieve the objective, the thesis is divided into three sub-objectives. The first research aim was to provide an overview of the most recent approaches used in timber assortment estimation using LiDAR data, through a literature review; the second study aim was to provide a stepwise approach to assess the stem volume and carbon stock at single tree level using Airborne Laser Scanning (ALS) data, while the third study aim was to provide a stepwise approach to retrieve the timber assortment information from forest stands using Terrestrial Laser scanning (TLS) data. These studies were carried out in Bosco Pennataro, a Mediterranean forest belonging to the Central Apennine Mountains in Molise (Italy).