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Johannes Breidenbach
Johannes Breidenbach
Norwegian National Forest Invetnory
Dirección de correo verificada de nibio.no
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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 Næsset, V Lien, T Gobakken, S Solberg
Remote Sensing of Environment 114 (4), 911-924, 2010
3182010
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
2022018
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
1682016
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
1592012
Comparison of four types of 3D data for timber volume estimation
J Rahlf, J Breidenbach, S Solberg, E Næsset, R Astrup
Remote Sensing of Environment 155, 325-333, 2014
1492014
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
1452013
Early detection of bark beetle green attack using TerraSAR-X and RapidEye data
SM Ortiz, J Breidenbach, G Kändler
Remote Sensing 5 (4), 1912-1931, 2013
1202013
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
1202008
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
1072020
Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data
B Gizachew, S Solberg, E Næsset, T Gobakken, OM Bollandsås, ...
Carbon balance and management 11, 1-14, 2016
1052016
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
892015
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
882020
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
842020
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 Kändler
European Journal of Forest Research 129, 833-846, 2010
802010
Quantifying the model-related variability of biomass stock and change estimates in the Norwegian National Forest Inventory
J Breidenbach, C Antón-Fernández, H Petersson, RE McRoberts, ...
Forest Science 60 (1), 25-33, 2014
762014
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
752020
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
742016
Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat
S Puliti, J Breidenbach, J Schumacher, M Hauglin, TF Klingenberg, ...
Remote sensing of environment 265, 112644, 2021
712021
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 Kändler, A Kleusberg
International Journal of Remote Sensing 29 (5), 1511-1536, 2008
712008
A flexible stem taper and volume prediction method based on mixed-effects B-spline regression
E Kublin, J Breidenbach, G Kändler
European Journal of Forest Research 132, 983-997, 2013
682013
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Artículos 1–20