| Comparative testing of single-tree detection algorithms under different types of forest J Vauhkonen, L Ene, S Gupta, J Heinzel, J Holmgren, J Pitkänen, ... Forestry 85 (1), 27-40, 2012 | 413 | 2012 |
| 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 | 312 | 2014 |
| Single tree detection in heterogeneous boreal forests using airborne laser scanning and area-based stem number estimates L Ene, E Næsset, T Gobakken International journal of remote sensing 33 (16), 5171-5193, 2012 | 137 | 2012 |
| Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models C Salas, L Ene, TG Gregoire, E Næsset, T Gobakken Remote Sensing of Environment 114 (6), 1277-1285, 2010 | 125 | 2010 |
| Use of partial-coverage UAV data in sampling for large scale forest inventories S Puliti, LT Ene, T Gobakken, E Næsset Remote sensing of environment 194, 115-126, 2017 | 121 | 2017 |
| Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach LT Ene, E Næsset, T Gobakken, TG Gregoire, G Ståhl, R Nelson Remote Sensing of Environment 123, 579-592, 2012 | 105 | 2012 |
| 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 |
| Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space A Grafström, S Saarela, LT Ene Canadian Journal of Forest Research 44 (10), 1156-1164, 2014 | 85 | 2014 |
| 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 |
| Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass TG Gregoire, E Næsset, RE McRoberts, G Ståhl, HE Andersen, ... Remote Sensing of Environment 173, 98-108, 2016 | 74 | 2016 |
| Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data LT Ene, E Næsset, T Gobakken, OM Bollandsås, EW Mauya, E Zahabu Remote Sensing of Environment 188, 106-117, 2017 | 67 | 2017 |
| A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys LT Ene, E Næsset, T Gobakken, TG Gregoire, G Ståhl, S Holm Remote Sensing of Environment 133, 210-224, 2013 | 64 | 2013 |
| Semi-supervised SVM for individual tree crown species classification M Dalponte, LT Ene, M Marconcini, T Gobakken, E Næsset ISPRS Journal of Photogrammetry and Remote Sensing 110, 77-87, 2015 | 61 | 2015 |
| Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations C Babcock, AO Finley, HE Andersen, R Pattison, BD Cook, DC Morton, ... Remote Sensing of Environment 212, 212-230, 2018 | 55 | 2018 |
| Using airborne small-footprint laser scanner data for detection of cultural remains in forests: An experimental study of the effects of pulse density and DTM smoothing OM Bollandsås, O Risbøl, LT Ene, A Nesbakken, T Gobakken, E Næsset Journal of Archaeological Science 39 (8), 2733-2743, 2012 | 54 | 2012 |
| Estimating single-tree crown biomass of Norway spruce by airborne laser scanning: a comparison of methods with and without the use of terrestrial laser scanning to obtain the … M Hauglin, T Gobakken, R Astrup, L Ene, E Næsset Forests 5 (3), 384-403, 2014 | 52 | 2014 |
| Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data LT Ene, E Næsset, T Gobakken, EW Mauya, OM Bollandsås, TG Gregoire, ... Remote Sensing of Environment 186, 626-636, 2016 | 46 | 2016 |
| Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data LT Ene, T Gobakken, HE Andersen, E Næsset, BD Cook, DC Morton, ... Remote Sensing of Environment 204, 741-755, 2018 | 38 | 2018 |
| Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania EW Mauya, LT Ene, OM Bollandsås, T Gobakken, E Næsset, ... Carbon balance and management 10, 1-16, 2015 | 36 | 2015 |
| Predicting selected forest stand characteristics with multispectral ALS data M Dalponte, LT Ene, T Gobakken, E Næsset, D Gianelle Remote Sensing 10 (4), 586, 2018 | 33 | 2018 |
