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Ole Martin Bollandsås
Ole Martin Bollandsås
Researcher
Verified email at nmbu.no
Title
Cited by
Cited by
Year
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
3182009
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
2492013
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
2082005
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
1422013
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
1362015
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
1342012
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
1162013
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
1162011
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
1142008
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
1082016
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
1002010
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
942016
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
882015
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
832013
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
812015
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
802015
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
802013
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
772013
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
722019
Utilizing airborne laser intensity for tree species classification
HO Ørka, E Næsset, OM Bollandsås
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2007
702007
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