Göran Ståhl
Cited by
Cited by
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
IPCC guidelines for national greenhouse gas inventories. 4. Agriculture, Forestry and Other Land Use
IPC Change
IPCC, 2006
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
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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