Johannes Breidenbach
Johannes Breidenbach
Norwegian National Forest Invetnory
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Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
J Breidenbach, E Nśsset, V Lien, T Gobakken, S Solberg
Remote Sensing of Environment 114 (4), 911-924, 2010
Remote sensing and forest inventories in Nordic countries–roadmap for the future
A Kangas, R Astrup, J Breidenbach, J Fridman, T Gobakken, ...
Scandinavian Journal of Forest Research 33 (4), 397-412, 2018
Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation
G StŚhl, S Saarela, S Schnell, S Holm, J Breidenbach, SP Healey, ...
Forest Ecosystems 3, 1-11, 2016
Small area estimation of forest attributes in the Norwegian National Forest Inventory
J Breidenbach, R Astrup
European Journal of Forest Research 131, 1255-1267, 2012
Comparison of four types of 3D data for timber volume estimation
J Rahlf, J Breidenbach, S Solberg, E Nśsset, R Astrup
Remote Sensing of Environment 155, 325-333, 2014
Monitoring spruce volume and biomass with InSAR data from TanDEM-X
S Solberg, R Astrup, J Breidenbach, B Nilsen, D Weydahl
Remote sensing of Environment 139, 60-67, 2013
Seventy-seven years of natural disturbances in a mountain forest area—the influence of storm, snow, and insect damage analysed with a long-term time series
M Hanewinkel, J Breidenbach, T Neeff, E Kublin
Canadian Journal of Forest Research 38 (8), 2249-2261, 2008
Early detection of bark beetle green attack using TerraSAR-X and RapidEye data
SM Ortiz, J Breidenbach, G Kšndler
Remote Sensing 5 (4), 1912-1931, 2013
Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data
B Gizachew, S Solberg, E Nśsset, T Gobakken, OM BollandsŚs, ...
Carbon balance and management 11, 1-14, 2016
A century of National Forest Inventory in Norway–informing past, present, and future decisions
J Breidenbach, A Granhus, G Hylen, R Eriksen, R Astrup
Forest Ecosystems 7, 1-19, 2020
Modeling height-diameter relationships for Norway spruce, Scots pine, and downy birch using Norwegian national forest inventory data
RP Sharma, J Breidenbach
Forest Science and Technology 11 (1), 44-53, 2015
Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data
J Breidenbach, A Nothdurft, G Kšndler
European Journal of Forest Research 129, 833-846, 2010
Estimation of forest growing stock volume with UAV laser scanning data: can it be done without field data?
S Puliti, J Breidenbach, R Astrup
Remote Sensing 12 (8), 1245, 2020
Quantifying the model-related variability of biomass stock and change estimates in the Norwegian National Forest Inventory
J Breidenbach, C Antůn-FernŠndez, H Petersson, RE McRoberts, ...
Forest Science 60 (1), 25-33, 2014
Empirical coverage of model-based variance estimators for remote sensing assisted estimation of stand-level timber volume
J Breidenbach, RE McRoberts, R Astrup
Remote Sensing of Environment 173, 274-281, 2016
A comparison of UAV laser scanning, photogrammetry and airborne laser scanning for precision inventory of small-forest properties
S Puliti, JP Dash, MS Watt, J Breidenbach, GD Pearse
Forestry: An International Journal of Forest Research 93 (1), 150-162, 2020
Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data
S Puliti, M Hauglin, J Breidenbach, P Montesano, CSR Neigh, J Rahlf, ...
Remote Sensing of Environment 236, 111501, 2020
Quantifying the influence of slope, aspect, crown shape and stem density on the estimation of tree height at plot level using lidar and InSAR data
J Breidenbach, B Koch, G Kšndler, A Kleusberg
International Journal of Remote Sensing 29 (5), 1511-1536, 2008
A flexible stem taper and volume prediction method based on mixed-effects B-spline regression
E Kublin, J Breidenbach, G Kšndler
European Journal of Forest Research 132, 983-997, 2013
Spatial prediction of forest stand variables
A Nothdurft, J Saborowski, J Breidenbach
European Journal of Forest Research 128, 241-251, 2009
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