Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2022
Authors
Johannes Breidenbach David Ellison Hans Petersson Kari T. Korhonen Helena M. Henttonen Jörgen Wallerman Jonas Fridman Terje Gobakken Rasmus Astrup Erik NæssetAbstract
No abstract has been registered
Authors
Thomas Gschwantner Iciar Alberdi Sébastien Bauwens Susann Bender Dragan Borota Michal Bosela Olivier Bouriaud Johannes Breidenbach Jānis Donis Christoph Fischer Patrizia Gasparini Luke Heffernan Jean-Christophe Hervé László Kolozs Kari T. Korhonen Nikos Koutsias Pál Kovácsevics Miloš Kučera Gintaras Kulbokas Andrius Kuliešis Adrian Lanz Philippe Lejeune Torgny Lind Gheorghe Marin François Morneau Thomas Nord-Larsen Leónia Nunes Damjan Pantić John Redmond Francisco C. Rego Thomas Riedel Vladimír Šebeň Allan Sims Mitja Skudnik Stein Michael TomterAbstract
No abstract has been registered
2021
Abstract
No abstract has been registered
Authors
Stefano Puliti Grant Pearse Michael Watt Edward Mitchard Ian McNicol Magnus Bremer Martin Rutzinger Peter Surovy Luke Wallace Markus Hollaus Rasmus AstrupAbstract
No abstract has been registered
Authors
Stefano Puliti Johannes Breidenbach Johannes Schumacher Marius Hauglin Torgeir Ferdinand Klingenberg Rasmus AstrupAbstract
No abstract has been registered
Authors
Stefano Puliti Grant D. Pearse Michael S. Watt Edward Mitchard Ian McNicol Magnus Bremer Martin Rutzinger Peter Surovy Luke Wallace Markus Hollaus Rasmus AstrupAbstract
Survey-grade laser scanners suitable for drones (UAV-LS) allow the efficient collection of finely detailed three-dimensional (3D) information on tree structures allowing to resolve the complexity of the forest into discrete individual trees and species as well as into different component of the tree. Current developments are hindered by the limited availability of survey-grade UAV-LS data and by the lack of a publicly available benchmark dataset for developing and validating methods. We present a new benchmarking dataset composed of manually labelled UAV-LS data covering forests in different continents and eco-regions. Such data consists in single-tree point clouds, with each point classified as either stem, branches, and leaves. This benchmark dataset offers new possibilities to develop single-tree segmentation algorithms and validate existing ones.
Abstract
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Abstract
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Authors
Johannes Breidenbach Janis Ivanovs Annika Kangas Thomas Nord-Larsen Mats Nilsson Rasmus AstrupAbstract
No abstract has been registered