Obserwuj
Johannes Breidenbach
Johannes Breidenbach
Norwegian National Forest Invetnory
Zweryfikowany adres z nibio.no
Tytuł
Cytowane przez
Cytowane przez
Rok
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
3122010
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
1672018
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
1482016
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
1472012
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
1452014
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
1402013
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
1162008
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
1112013
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
942016
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
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
792015
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
782020
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
762020
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
702014
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
692016
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
672008
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
662020
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
642020
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
602013
Spatial prediction of forest stand variables
A Nothdurft, J Saborowski, J Breidenbach
European Journal of Forest Research 128, 241-251, 2009
582009
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20