Terje Gobakken

Nature and Landscape Conservation · 2004–2018

A researcher in the Science corpus: 27 papers; trusts 27 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 171 citations into it; #401 of 6,941 by trust here, #815 by citations
• Environmental Engineering — 156 citations into it; #242 of 5,479 by trust here, #189 by citations
• Insect Science — 92 citations into it; #61 of 2,259 by trust here, #137 by citations
• Ecology — 76 citations into it; #9,595 of 10,717 by trust here, #3,759 by citations
• Statistics and Probability — 40 citations into it
• Global and Planetary Change — 31 citations into it
• Artificial Intelligence — 13 citations into it
• Signal Processing — 8 citations into it

Whom Terje Gobakken trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Erik Næsset
2. Johan Holmgren
3. Matti Maltamo
4. Annika S. Kangas
5. R. Dennis Cook
6. Steen Magnussen
7. Bjørn-Helge Mevik
8. Ronald E. McRoberts
9. Ole Martin Bollandsås
10. Tron Eid

Who trusts Terje Gobakken overall

1. Erik Næsset
2. Matti Maltamo
3. Yinghai Ke
4. Eva Lindberg
5. Ronald E. McRoberts
6. Ole Martin Bollandsås
7. Lindi J. Quackenbush
8. Johan Holmgren
9. Petteri Packalen
10. I. Özdemir

Papers from Terje Gobakken's perspective

Ordered by how strongly the researchers Terje Gobakken trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data
3. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
4. 3D segmentation of single trees exploiting full waveform LIDAR data
5. Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands
6. A Coefficient of Agreement for Nominal Scales
7. Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
8. The single tree-based stand simulator SILVA: construction, application and evaluation
9. Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
10. Adaptive Control Processes: A Guided Tour

Their papers

• Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications (2018) — 49 citations
• Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference (2018) — 151 citations
• Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations (2017) — 60 citations
• How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt (2016) — 94 citations
• Inventory of Small Forest Areas Using an Unmanned Aerial System (2015) — 350 citations
• Optimizing the k-Nearest Neighbors technique for estimating forest aboveground biomass using airborne laser scanning data (2015) — 74 citations
• Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data (2015) — 83 citations
• Living and dying in a multi‐predator landscape of fear: roe deer are squeezed by contrasting pattern of predation risk imposed by lynx and humans (2014) — 187 citations
• Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data (2014) — 276 citations
• Laser-assisted selection of field plots for an area-based forest inventory (2013) — 50 citations
• Tree Species Classification in Boreal Forests With Hyperspectral Data (2013) — 340 citations
• Inference for lidar-assisted estimation of forest growing stock volume (2013) — 184 citations
• A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys (2013) — 52 citations
• Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach (2012) — 98 citations
• Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. (2011) — 158 citations
• Comparative testing of single-tree detection algorithms under different types of forest (2011) — 390 citations
• Modeling forest songbird species richness using LiDAR-derived measures of forest structure (2011) — 132 citations
• Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway (2011) — 181 citations
• Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce (2010) — 86 citations
• Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data (2010) — 271 citations