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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Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: A case study from a boreal forest area
Erik Næsset,Terje Gobakken,Svein Solberg,Timothy G. Gregoire,Ross Nelson,Göran Ståhl,Dan Johan Weydahl +6 more
TL;DR: In this article, the authors demonstrate how total above-ground biomass (AGB) can be estimated at three distinct geographical levels in such a way that the estimates at a smaller level always sum up to the estimate at a larger level.
Journal ArticleDOI
Factors affecting the probability of windthrow at stand level as a result of Gudrun winter storm in southern Sweden
Erik Valinger,Jonas Fridman +1 more
TL;DR: In this article, the authors analyzed the factors affecting the probability of windthrow at stand level (i.e., tree-and stand characteristics) in southern Sweden, and found that the damaged were typically well stocked mature stands, dominated by Norway spruce (Picea abies (L.) Karst.), and often also recently thinned.
Journal ArticleDOI
Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping
TL;DR: It is shown that the proposed data fusion approach increased the robustness of forest-type mapping within Europe, particularly when creating continental LC maps at fine spatial resolution.
Journal ArticleDOI
Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm
TL;DR: In this article, the authors investigated the potential of Random Forest (RF), a machine learning technique, to estimate LiDAR measured canopy structure using a time series of Landsat imagery and demonstrated the value of using disturbance and successional history to inform estimates of canopy structure and obtain improved estimates of forest canopy cover and height using the RF algorithm.
Journal ArticleDOI
Recent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France
TL;DR: In this paper, the authors carried out an exploratory modelling analysis of productivity changes, based on the French national forest inventory data, to assess recent trends in forest productivity and investigate a possible recent decline as found in previous studies; and investigate trend variations relative to site fertility factors.
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