Göran Ståhl
Citado por
Citado por
Good Practice Guidance for Land Use, Landuse Change and Forestry (GPG-LULUCF)
J Penman, M Gytarsky, T Krug, D Kruger, R Pipatti, L Buendia, K Miwa, ...
IPCC-IGES, Kanagawa, 2003
Plant functional traits have globally consistent effects on competition
G Kunstler, D Falster, DA Coomes, F Hui, RM Kooyman, DC Laughlin, ...
Nature 529 (7585), 204-207, 2016
State of Europe's forests 2015
I Alberdi Asensio, T Baycheva-Merger, A Bouvet, M Bozzano, G Caudullo, ...
Ministerial Conference on the Protection of Forests in Europe. Forest Europe …, 2015
National forest inventories
E Tomppo, T Gschwantner, M Lawrence, RE McRoberts, K Gabler, ...
Pathways for Common Reporting. European Science Foundation 1, 541-553, 2010
State of Europe’s forests 2011. Status and trends in sustainable forest management in Europe
F Europe, FAO Unece
ministerial Conference on the Protection of Forests in Europe, Oslo, 344, 2011
Combining national forest inventory field plots and remote sensing data for forest databases
E Tomppo, H Olsson, G Ståhl, M Nilsson, O Hagner, M Katila
Remote Sensing of Environment 112 (5), 1982-1999, 2008
State of Europe’s forests 2020
F Europe
IPCC guidelines for national greenhouse gas inventories. 4. Agriculture, Forestry and Other Land Use
IPC Change
IPCC, 2006
Wood-inhabiting cryptogams on dead Norway spruce (Picea abies) trees in managed Swedish boreal forests
N Kruys, C Fries, BG Jonsson, T Lämås, G Ståhl
Canadian Journal of Forest Research 29 (2), 178-186, 1999
Adapting National Forest Inventories to changing requirements–the case of the Swedish National Forest Inventory at the turn of the 20th century
J Fridman, S Holm, M Nilsson, P Nilsson, AH Ringvall, G Ståhl
Silva Fennica 48 (3), 2014
Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway
G Ståhl, S Holm, TG Gregoire, T Gobakken, E Næsset, R Nelson
Canadian journal of forest research 41 (1), 96-107, 2010
Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: A case study from a boreal forest area
E Næsset, T Gobakken, S Solberg, TG Gregoire, R Nelson, G Ståhl, ...
Remote Sensing of Environment 115 (12), 3599-3614, 2011
Functions for below-ground biomass of Pinus sylvestris, Picea abies, Betula pendula and Betula pubescens in Sweden
H Petersson, G Ståhl
Scandinavian Journal of Forest Research 21 (S7), 84-93, 2006
Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, Norway
TG Gregoire, G Ståhl, E Næsset, T Gobakken, R Nelson, S Holm
Canadian Journal of Forest Research 41 (1), 83-95, 2010
National Inventory of Landscapes in Sweden (NILS)—scope, design, and experiences from establishing a multiscale biodiversity monitoring system
G Ståhl, A Allard, PA Esseen, A Glimskär, A Ringvall, J Svensson, ...
Environmental monitoring and assessment 173, 579-595, 2011
Individual tree biomass equations or biomass expansion factors for assessment of carbon stock changes in living biomass–A comparative study
H Petersson, S Holm, G Ståhl, D Alger, J Fridman, A Lehtonen, ...
Forest Ecology and Management 270, 78-84, 2012
Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference
S Puliti, S Saarela, T Gobakken, G Ståhl, E Næsset
Remote sensing of environment 204, 485-497, 2018
Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation
G Ståhl, S Saarela, S Schnell, S Holm, J Breidenbach, SP Healey, ...
Forest Ecosystems 3, 1-11, 2016
Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: A case study with post-stratification to provide …
E Næsset, OM Bollandsås, T Gobakken, TG Gregoire, G Ståhl
Remote Sensing of Environment 128, 299-314, 2013
Estimation of the biomass stock of trees in Sweden: comparison of biomass equations and age-dependent biomass expansion factors
A Jalkanen, R Mäkipää, G Ståhl, A Lehtonen, H Petersson
Annals of Forest Science 62 (8), 845-851, 2005
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