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Ole Martin Bollandsås
Ole Martin Bollandsås
Researcher
Adresse e-mail validée de nmbu.no
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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
2972009
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
2122013
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
1962005
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
1302015
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
1292013
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
1252012
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
1092013
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
1072011
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
982008
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
922010
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 Naesset, HO Ørka, S Solberg, OM Bollandsås, EH Hansen, E Mauya, ...
Remote sensing of Environment 175, 282-300, 2016
882016
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
782015
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), 1-14, 2016
742016
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
742013
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
732015
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
712013
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
702013
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
682015
Utilizing airborne laser intensity for tree species classification
HO Ørka, E Næsset, OM Bollandsås
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2007
682007
Non-parametric prediction of diameter distributions using airborne laser scanner data
M Maltamo, E Næsset, OM Bollandsås, T Gobakken, P Packalén
Scandinavian Journal of Forest Research 24 (6), 541-553, 2009
642009
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