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National Forest Inventories : pathways for common reporting
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The article was published on 2010-01-01. It has received 596 citations till now.read more
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Forest observational studies-an essential infrastructure for sustainable use of natural resources
Xiuhai Zhao,Javier Corral-Rivas,Chunyu Zhang,Hailemariam Temesgen,Klaus von Gadow,Klaus von Gadow +5 more
TL;DR: In this article, the authors provide essential clarification regarding the definition and purpose of long-term field studies, review some of the extensive literature and discuss different approaches to collecting field data, and describe two newly established forest observational networks that serve to illustrate the scope and diversity of forest field studies.
Journal ArticleDOI
National Forest Inventory and forest observational studies in Spain: Applications to forest modeling
Juan Gabriel Álvarez-González,Isabel Cañellas,Iciar Alberdi,Klaus von Gadow,Klaus von Gadow,Ana Daría Ruiz-González +5 more
TL;DR: In this paper, the advantages and disadvantages of Forest Observational Studies (FOS) and National Forest Inventory (NFI) data for developing forest models are discussed, and an example of synergy between FOS and NFI observations for developing dynamic growth models for intensively managed forest in the Atlantic ecoregion is presented.
Journal ArticleDOI
Leaf Area Index, Biomass Carbon and Growth Rate of Radiata Pine Genetic Types and Relationships with LiDAR
Peter N. Beets,Stephen E. Reutebuch,Mark O. Kimberley,Graeme R. Oliver,Stephen H. Pearce,Robert J. McGaughey +5 more
TL;DR: Relationships between discrete-return light detection and ranging (LiDAR) data and radiata pine leaf area index (LAI), stem volume, above ground carbon, and carbon sequestration were developed using 10 plots with directly measured biomass and leaf area data, and 36 plots with modelled carbon data.
Journal ArticleDOI
Methods for variable selection in LiDAR-assisted forest inventories
Paolo Moser,Alexander Christian Vibrans,Ronald E. McRoberts,Erik Næsset,Terje Gobakken,Gherardo Chirici,Matteo Mura,Marco Marchetti +7 more
TL;DR: In this paper, the authors compared three methods to select predictor variables for nonlinear models of relationships between forest attributes and LiDAR metrics, two of them based on genetic algorithms (GAs) and one based on random forest (RM).
Journal ArticleDOI
National mapping and estimation of forest area by dominant tree species using Sentinel-2 data
Johannes Breidenbach,Lars T. Waser,Misganu Debella-Gilo,Johannes Schumacher,Johannes Rahlf,Marius Hauglin,Stefano Puliti,Rasmus Astrup +7 more
TL;DR: In this article, the authors used National Forest Inventory (NFI) plot data for modelling and subsequent mapping of spruce-, pine-, and deciduous-dominated forest in Norway at a 16 × 16 m ×...
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