| 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 | 157 | 2014 |
| 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, 2019 | 93 | 2019 |
| National mapping and estimation of forest area by dominant tree species using Sentinel-2 data J Breidenbach, LT Waser, M Debella-Gilo, J Schumacher, J Rahlf, ... Canadian Journal of Forest Research 51 (3), 365-379, 2021 | 85 | 2021 |
| Forest information at multiple scales: development, evaluation and application of the Norwegian forest resources map SR16 R Astrup, J Rahlf, K Bjørkelo, M Debella-Gilo, AK Gjertsen, J Breidenbach Scandinavian Journal of Forest Research 34 (6), 484-496, 2019 | 78 | 2019 |
| Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data M Hauglin, J Rahlf, J Schumacher, R Astrup, J Breidenbach Forest Ecosystems 8, 65, 2021 | 74 | 2021 |
| Digital aerial photogrammetry can efficiently support large-area forest inventories in Norway J Rahlf, J Breidenbach, S Solberg, E Næsset, R Astrup Forestry: An International Journal of Forest Research 90 (5), 710-718, 2017 | 64 | 2017 |
| Unit-level and area-level small area estimation under heteroscedasticity using digital aerial photogrammetry data J Breidenbach, S Magnussen, J Rahlf, R Astrup Remote Sensing of Environment 212, 199-211, 2018 | 63 | 2018 |
| An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting B Talbot, J Rahlf, R Astrup Scandinavian Journal of Forest Research 33 (4), 387-396, 2018 | 49 | 2018 |
| Forest parameter prediction using an image-based point cloud: a comparison of semi-ITC with ABA J Rahlf, J Breidenbach, S Solberg, R Astrup Forests 6 (11), 4059-4071, 2015 | 49 | 2015 |
| Timber volume estimation based on airborne laser scanning—comparing the use of national forest inventory and forest management inventory data J Rahlf, M Hauglin, R Astrup, J Breidenbach Annals of Forest Science 78 (2), 49, 2021 | 33 | 2021 |
| Spatial yield estimates of fast‐growing willow plantations for energy based on climatic variables in northern Europe B Mola‐Yudego, J Rahlf, R Astrup, I Dimitriou GCB Bioenergy 8 (6), 1093-1105, 2016 | 32 | 2016 |
| Taper, volume, and bark thickness models for spruce, pine, and birch in Norway E Hansen, J Rahlf, R Astrup, T Gobakken Scandinavian Journal of Forest Research 38 (6), 413-428, 2023 | 21 | 2023 |
| Parameter determination by RapidEye and TerraSAR-X data: A step toward a remote sensing based inventory, monitoring and fast reaction system on forest enterprise level T Schneider, A Elatawneh, J Rahlf, M Kindu, A Rappl, A Thiele, M Boldt, ... Earth Observation of Global Changes (EOGC), 81-107, 2012 | 13 | 2012 |
| Object-based analysis of aerial photogrammetric point cloud and spectral data for land cover mapping M Debella-Gilo, K Bjørkelo, J Breidenbach, J Rahlf The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013 | 6 | 2013 |
| Forest resource mapping using 3D remote sensing: Combining national forest inventory data and digital aerial photogrammetry J Rahlf Norwegian University of Life Sciences, Ås, Norway, 2017 | 4 | 2017 |
| EMPLOYABILITY–THE UNKNOWN GOAL OF STUDENTS AND UNIVERSITIES? H LANGFELDER, J RAHLF WHAT DO WE KNOW ABOUT OUR GRADUATES? GRADUATE ANALYSES FOR FOREST SCIENCES …, 2010 | 4 | 2010 |
| RoadSens: An integrated near-field sensor solution for 3D forest road monitoring M Hoseini, HR Gobakken, S Hoffmann, C Horvath, J Rahlf, J Bjerketvedt, ... Computers and Electronics in Agriculture 229, 109710, 2025 | 2 | 2025 |
| The Norwegian Forest Resource Map SR16: Mapping Forest Attributes Using Heterogeneous Sets of Airborne Laser Scanning and National Forest Inventory Data M Hauglin, J Rahlf, J Schumacher, R Astrup, J Breidenbach | 1 | 2021 |
| Taper, volume, and bark thickness models for spruce, pine, and birch in Norway (vol 38, pg 413, 2023) E Hansen, J Rahlf, R Astrup, T Gobakken SCANDINAVIAN JOURNAL OF FOREST RESEARCH 39 (3-4), 215-215, 2024 | | 2024 |
| LADASKAN-Laserdatabasert skogsbilveianalyse J Bjerketvedt, J Rahlf, M Hoseini, S Puliti, S Hoffmann | | 2024 |
