| Lidar sampling for large-area forest characterization: A review MA Wulder, JC White, RF Nelson, E Næsset, HO Ørka, NC Coops, ... Remote sensing of environment 121, 196-209, 2012 | 818 | 2012 |
| Inventory of small forest areas using an unmanned aerial system S Puliti, HO Ørka, T Gobakken, E Næsset Remote Sensing 7 (8), 9632-9654, 2015 | 421 | 2015 |
| Tree species classification in boreal forests with hyperspectral data M Dalponte, HO Ørka, T Gobakken, D Gianelle, E Næsset IEEE Transactions on Geoscience and Remote Sensing 51 (5), 2632-2645, 2012 | 401 | 2012 |
| Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data HO Ørka, E Næsset, OM Bollandsås Remote Sensing of Environment 113 (6), 1163-1174, 2009 | 317 | 2009 |
| Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data M Dalponte, HO Ørka, LT Ene, T Gobakken, E Næsset Remote sensing of environment 140, 306-317, 2014 | 311 | 2014 |
| Tree species classification using airborne LiDAR–effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type I Korpela, HO Ørka, M Maltamo, T Tokola, J Hyyppä Silva Fennica 44 (2), 319-339, 2010 | 303 | 2010 |
| Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies I Korpela, HO Ørka, J Hyyppä, V Heikkinen, T Tokola ISPRS Journal of Photogrammetry and Remote Sensing 65 (4), 369-379, 2010 | 146* | 2010 |
| Biomass estimation using 3D data from unmanned aerial vehicle imagery in a tropical woodland DJ Kachamba, HO Ørka, T Gobakken, T Eid, W Mwase Remote Sensing 8 (11), 968, 2016 | 142 | 2016 |
| Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning T Gobakken, E Næsset, R Nelson, OM Bollandsås, TG Gregoire, G Ståhl, ... Remote Sensing of Environment 123, 443-456, 2012 | 136 | 2012 |
| Mapping and estimating forest area and aboveground biomass in miombo woodlands in Tanzania using data from airborne laser scanning, TanDEM-X, RapidEye, and global forest maps … E Næsset, HO Ørka, S Solberg, OM Bollandsås, EH Hansen, E Mauya, ... Remote sensing of Environment 175, 282-300, 2016 | 109 | 2016 |
| Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning HO Ørka, E Næsset, OM Bollandsås Remote Sensing of Environment 114 (7), 1445-1461, 2010 | 101 | 2010 |
| Assessing 3D point clouds from aerial photographs for species-specific forest inventories S Puliti, T Gobakken, HO Ørka, E Næsset Scandinavian journal of forest research 32 (1), 68-79, 2017 | 98 | 2017 |
| Characterizing forest species composition using multiple remote sensing data sources and inventory approaches HO Ørka, M Dalponte, T Gobakken, E Næsset, LT Ene Scandinavian Journal of Forest Research 28 (7), 677-688, 2013 | 93 | 2013 |
| Interpreting cultural remains in airborne laser scanning generated digital terrain models: effects of size and shape on detection success rates O Risbøl, OM Bollandsås, A Nesbakken, HO Ørka, E Næsset, T Gobakken Journal of archaeological Science 40 (12), 4688-4700, 2013 | 78 | 2013 |
| Simultaneously acquired airborne laser scanning and multispectral imagery for individual tree species identification HO Ørka, T Gobakken, E Næsset, L Ene, V Lien Canadian Journal of Remote Sensing 38 (2), 125-138, 2012 | 77 | 2012 |
| Comparing the accuracies of forest attributes predicted from airborne laser scanning and digital aerial photogrammetry in operational forest inventories L Noordermeer, OM Bollandsås, HO Ørka, E Næsset, T Gobakken Remote Sensing of Environment 226, 26-37, 2019 | 72 | 2019 |
| Utilizing airborne laser intensity for tree species classification HO Ørka, E Næsset, OM Bollandsås International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2007 | 71 | 2007 |
| Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources E Bergseng, HO Ørka, E Næsset, T Gobakken Annals of forest science 72, 33-45, 2015 | 66 | 2015 |
| Effects of UAV image resolution, camera type, and image overlap on accuracy of biomass predictions in a tropical woodland D Domingo, HO Ørka, E Næsset, D Kachamba, T Gobakken Remote Sensing 11 (8), 948, 2019 | 65 | 2019 |
| Predicting stem diameters and aboveground biomass of individual trees using remote sensing data M Dalponte, L Frizzera, HO Ørka, T Gobakken, E Næsset, D Gianelle Ecological Indicators 85, 367-376, 2018 | 63 | 2018 |
