| 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 | 312 | 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 | 171 | 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 | 149 | 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 | 147 | 2012 |
| 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 | 145 | 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 | 141 | 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 | 118 | 2008 |
| 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 | 114 | 2013 |
| 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 | 94 | 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 | 80 | 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 | 80 | 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 Kändler European Journal of Forest Research 129, 833-846, 2010 | 80 | 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 | 77 | 2020 |
| 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 | 71 | 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 | 69 | 2016 |
| 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 | 67 | 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 Kändler, A Kleusberg International Journal of Remote Sensing 29 (5), 1511-1536, 2008 | 67 | 2008 |
| 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 | 66 | 2020 |
| 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 | 61 | 2013 |
| Spatial prediction of forest stand variables A Nothdurft, J Saborowski, J Breidenbach European Journal of Forest Research 128, 241-251, 2009 | 58 | 2009 |
Rasmus AstrupNIBIOVerified email at skogoglandskap.no
