BookDOI
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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Journal ArticleDOI
An Area-Based Matrix Model for Uneven-Aged Forests
TL;DR: In this paper, a new concept for modeling uneven-aged forests (UEAF) is presented, which encloses all forests that deviate from the even-aged structure, and is designed to be suitable for large-scale analyses.
Journal ArticleDOI
The estimation of diversity indexes by using stratified allocations of plots, points or transects
TL;DR: In this paper, the consistency and the large-sample normality of the diversity index estimators under one-per-stratum stratified sampling are analyzed. And the results on variance estimation and finite-sample bias reduction are achieved by means of standard results on the jackknife method.
Journal ArticleDOI
Risk is in the eye of the assessor: comparing risk assessments of four non-native tree species in Germany
TL;DR: In this paper, the authors analyzed six risk assessment tools used in Germany and adjacent countries for their practical applicability and consistency using four NNT (Fraxinus pennsylvanica Marsh, Paulownia tomentosa (Thunb. ex Murray), Pseudotsuga menziesii (Mirb.) Franco and Quercus rubra L.) as case studies.
Dissertation
Classification of Sweden's Forest and Alpine Vegetation Using Optical Satellite and Inventory Data
TL;DR: In this article, optical satellite data with pixel sizes ranging from 10 to 300 m have been used together with reference data from the Swedish National Forest Inventory (NFI), National Inventory of Landscapes in Sweden (NILS), a point sample based on the Terrestrial Habitat Monitoring program (THUF), and a forest stand database.
Journal ArticleDOI
Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR
Milutin Milenković,Sebastian Schnell,Sebastian Schnell,Johan Holmgren,Camillo Ressl,Eva Lindberg,Markus Hollaus,Norbert Pfeifer,Håkan Olsson +8 more
TL;DR: In this article, the authors draw recommendations for future space-borne LiDAR systems, which should deliver data for unbiased aboveground biomass (AGB) assessments, drawn from AGB estimations based on satellite waveforms simulated over a 1300-ha large study site in southern Sweden.
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