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Johannes Rahlf
Johannes Rahlf
NIBIO
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Title
Cited by
Cited by
Year
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
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
702020
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
572017
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
522019
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
472021
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
472018
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
472015
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
402021
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
382018
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
232016
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
192021
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, 2013
132013
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
62013
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
42023
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
42010
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
32017
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
12021
Airborne Laser Scanning Based Timber Volume Estimation Using National Forest Inventory and Forest Management Inventory Data–a Comparison
J Rahlf, M Hauglin, R Astrup, J Breidenbach
arXiv preprint arXiv:2011.02051, 2020
2020
Risiko for import av fremmede arter og brudd på tømmerforordningen–trendanalyse av importstatistikk for tømmer og treprodukter
B Økland, I Børja, H Solheim, J Rahlf, I Fløistad
NIBIO Rapport, 2019
2019
Timber volume predictions and their spatial autocorrelation based on four different 3D remote sensing methods
J Rahlf, J Breidenbach, S Solberg, E Næsset, R Astrup
ForestSAT2014 Open Conference System, 2014
2014
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