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 |
Allometric models for prediction of above-and belowground biomass of trees in the miombo woodlands of Tanzania WA Mugasha, T Eid, OM Bollandsås, RE Malimbwi, SAO Chamshama, ... Forest Ecology and Management 310, 87-101, 2013 | 260 | 2013 |
Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data E Næsset, OM Bollandsås, T Gobakken Remote sensing of environment 94 (4), 541-553, 2005 | 209 | 2005 |
Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: A case study with post-stratification to provide … E Næsset, OM Bollandsås, T Gobakken, TG Gregoire, G Ståhl Remote Sensing of Environment 128, 299-314, 2013 | 144 | 2013 |
Comparing biophysical forest characteristics estimated from photogrammetric matching of aerial images and airborne laser scanning data T Gobakken, OM Bollandsås, E Næsset Scandinavian Journal of Forest Research 30 (1), 73-86, 2015 | 140 | 2015 |
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 |
Comparison of precision of biomass estimates in regional field sample surveys and airborne LiDAR-assisted surveys in Hedmark County, Norway E Næsset, T Gobakken, OM Bollandsås, TG Gregoire, R Nelson, G Ståhl Remote Sensing of Environment 130, 108-120, 2013 | 117 | 2013 |
Different plot selection strategies for field training data in ALS-assisted forest inventory M Maltamo, OM Bollandsås, E Næsset, T Gobakken, P Packalén Forestry 84 (1), 23-31, 2011 | 117 | 2011 |
Predicting the growth of stands of trees of mixed species and size: A matrix model for Norway O Martin Bollandsås, J Buongiorno, T Gobakken Scandinavian journal of forest research 23 (2), 167-178, 2008 | 117 | 2008 |
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 |
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 | 95 | 2016 |
Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data RE McRoberts, E Næsset, T Gobakken, OM Bollandsås Remote Sensing of Environment 164, 36-42, 2015 | 88 | 2015 |
Relationships between diameter and height of trees in natural tropical forest in Tanzania WA Mugasha, OM Bollandsås, T Eid Southern Forests: a Journal of Forest Science 75 (4), 221-237, 2013 | 87 | 2013 |
Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania EW Mauya, EH Hansen, T Gobakken, OM Bollandsås, RE Malimbwi, ... Carbon balance and management 10, 1-14, 2015 | 84 | 2015 |
Modeling aboveground biomass in dense tropical submontane rainforest using airborne laser scanner data EH Hansen, T Gobakken, OM Bollandsås, E Zahabu, E Næsset Remote Sensing 7 (1), 788-807, 2015 | 82 | 2015 |
Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data OM Bollandsås, TG Gregoire, E Næsset, BH Øyen Statistical Methods & Applications 22, 113-129, 2013 | 80 | 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 |
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 |