Lennart Noordermeer

Lennart Noordermeer
Norwegian University of Life Sciences (NMBU) · Department of Ecology and Natural Resource Management (INA)

PhD

About

9
Publications
1,833
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
113
Citations
Introduction
I work at the Department of Ecology and Natural Resource Management (INA), Norwegian University of Life Sciences (NMBU). My research involves forest engineering and inventory, focussing on the use of airborne laser scanning and forest harvester data.
Skills and Expertise

Publications

Publications (9)
Article
Full-text available
Newly developed positioning systems in cut-to-length harvesters enable georeferencing of individual trees with submeter accuracy. Together with detailed tree measurements recorded during processing of the tree, georeferenced harvester data are emerging as a valuable tool for forest inventory. Previous studies have shown that harvester data can be l...
Article
Full-text available
Cut-to-length harvesters collect detailed information on the dimensions and characteristics of individual harvested trees. When equipped with global navigation satellite system (GNSS) receivers and motion sensors, the obtained measurements can be linked to locations of single harvested trees, benefitting a range of forest inventory applications. We...
Article
Forest productivity is a crucial variable in forest planning, usually expressed as site index (SI). In Nordic commercial forest inventories, SI is commonly estimated by a combination of aerial image interpretation, field assessment and information obtained from previous inventories. Airborne laser scanning (ALS) and digital aerial photogrammetry (D...
Thesis
Full-text available
Site index (SI) indicates the magnitude of timber production that can be realized at a given site and is a crucial variable in forest planning. In Norwegian forest management inventories, SI is commonly quantified with large uncertainty by means of aerial image interpretation, field assessment and information from previous inventories. Airborne las...
Article
Full-text available
Forest productivity reflects the wood production capacity of a given site and provides crucial information for forest management planning. The most widely accepted measure of forest productivity is site index (SI), defined as the average height of dominant trees at a given index age. In forest management inventories, SI is commonly interpreted manu...
Article
Full-text available
Changes in forest areas have great impact on a range of ecosystem functions, and monitoring forest change across different spatial and temporal resolutions is a central task in forestry. At the spatial scales of municipalities, forest properties and stands, local inventories are carried out periodically to inform forest management, in which airborn...
Article
Full-text available
Airborne laser scanning (ALS) data provide a detailed representation of forest canopy structure and are highly suitable for forest inventory applications. Providing three-dimensional data at a lower cost, digital aerial photogrammetry (DAP) has emerged as an alternative to ALS. Previous studies have compared the utility of ALS and DAP data for pred...
Thesis
Full-text available
Predicting attributes of young forest is crucial for making sylvicultural treatment decisions in forest management planning. However, producing accurate predictions of such attributes is challenging. In this study, airborne laser scanning (ALS) data were used to develop, compare, and validate various methods for inventory of young forest, and to de...

Network

Cited By

Projects

Project (1)
Project
The primary objective of SmartForest is to improve the efficiency of the Norwegian forest sector by enabling a digital revolution transforming forest information, silviculture, forest operations, wood supply and the overall digital information flow in the sector.