Terje Gobakken

About Terje Gobakken

Terje Gobakken, With an exceptional h-index of 62 and a recent h-index of 46 (since 2020), a distinguished researcher at Norges miljø- og biovitenskapelige universitet,

His recent articles reflect a diverse array of research interests and contributions to the field:

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time–and how this affects applications

Quantifying the roles of climate, herbivory, topography, and vegetation on tree establishment in the treeline ecotone

Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data

A stand level scenario model for the Norwegian forestry–a case study on forest management under climate change

Detecting the presence of natural forests using airborne laser scanning data

Detecting the presence of standing dead trees using airborne laser scanning and optical data

Taper, volume, and bark thickness models for spruce, pine, and birch in Norway

Terje Gobakken Information

University

Norges miljø- og biovitenskapelige universitet

Position

___

Citations(all)

13995

Citations(since 2020)

6977

Cited By

10093

hIndex(all)

62

hIndex(since 2020)

46

i10Index(all)

182

i10Index(since 2020)

152

Email

University Profile Page

Norges miljø- og biovitenskapelige universitet

Top articles of Terje Gobakken

Title

Journal

Author(s)

Publication Date

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time–and how this affects applications

Forest Ecosystems

Göran Ståhl

Terje Gobakken

Svetlana Saarela

Henrik J Persson

Magnus Ekström

...

2024/1/1

Quantifying the roles of climate, herbivory, topography, and vegetation on tree establishment in the treeline ecotone

Ecosphere

Ida M Mienna

Kari Klanderud

Erik Næsset

Terje Gobakken

Ole Martin Bollandsås

2024/4

Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Remote Sensing

Svein Solberg

Ole Martin Bollandsås

Terje Gobakken

Erik Næsset

Paromita Basak

...

2024/2/29

Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data

Carbon Balance and Management

Victor F Strîmbu

Erik Naesset

Hans Ole Ørka

Jari Liski

Hans Petersson

...

2023/5/20

A stand level scenario model for the Norwegian forestry–a case study on forest management under climate change

Silva Fennica

Victor F Strîmbu

Tron Eid

Terje Gobakken

2023/8/24

Detecting the presence of natural forests using airborne laser scanning data

Forest Ecosystems

Marie-Claude Jutras-Perreault

Terje Gobakken

Erik Næsset

Hans Ole Ørka

2023/1/1

Detecting the presence of standing dead trees using airborne laser scanning and optical data

Scandinavian Journal of Forest Research

Marie-Claude Jutras-Perreault

Erik Næsset

Terje Gobakken

Hans Ole Ørka

2023/5/19

Taper, volume, and bark thickness models for spruce, pine, and birch in Norway

Scandinavian Journal of Forest Research

Endre Hansen

Johannes Rahlf

Rasmus Astrup

Terje Gobakken

2023/8/18

Estimation of the occurrence, severity, and volume of heartwood rot using airborne laser scanning and optical satellite data

European Journal of Remote Sensing

Endre Hansen

Julius Wold

Michele Dalponte

Terje Gobakken

Lennart Noordermeer

...

2023/12/31

Analysis-ready satellite data mosaics from Landsat and Sentinel-2 imagery

MethodsX

Hans Ole Ørka

Jãnis Gailis

Mathias Vege

Terje Gobakken

Kenneth Hauglund

2023/1/1

Comparison of Different Remotely Sensed Data Sources for Detection of Presence of Standing Dead Trees Using a Tree-Based Approach

Remote Sensing

Marie-Claude Jutras-Perreault

Terje Gobakken

Erik Næsset

Hans Ole Ørka

2023/4/22

Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference

Remote Sensing

Ritwika Mukhopadhyay

Erik Næsset

Terje Gobakken

Ida Marielle Mienna

Jaime Candelas Bielza

...

2023/7/13

Three-phase hierarchical model-based and hybrid inference

MethodsX

Svetlana Saarela

Petri Varvia

Lauri Korhonen

Zhiqiang Yang

Paul L Patterson

...

2023/12/1

Systematic review for a set of indicators supporting the Common International Classification of Ecosystem Services

Nelson Grima

Marie-Claude Jutras-Perreault

Terje Gobakken

Hans Ole Ørka

Harald Vacik

2023/3/1

Estimation of boreal forest biomass from ICESat-2 data using hierarchical hybrid inference

arXiv preprint arXiv:2307.04497

Petri Varvia

Svetlana Saarela

Matti Maltamo

Petteri Packalen

Terje Gobakken

...

2023/7/10

Economic losses caused by butt rot in Norway spruce trees in Norway

Scandinavian Journal of Forest Research

Lennart Noordermeer

Heikki Korpunen

Simon Berg

Terje Gobakken

Rasmus Astrup

2023/11/17

Monitoring tree occupancy and height in the Norwegian alpine treeline using a time series of airborne laser scanner data

International Journal of Applied Earth Observation and Geoinformation

Lennart Noordermeer

Jaime Candelas Bielza

Svetlana Saarela

Terje Gobakken

Ole Martin Bollandsås

...

2023/3/1

Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation

arXiv preprint arXiv:2306.11103

Sara Björk

Stian N Anfinsen

Michael Kampffmeyer

Erik Næsset

Terje Gobakken

...

2023/6/19

Imputing stem frequency distributions using harvester and airborne laser scanner data: a comparison of inventory approaches

Silva Fennica

Lennart Noordermeer

Hans Ole Ørka

Terje Gobakken

2023/10/9

Accuracy assessment of the nationwide forest attribute map of Norway constructed by using airborne laser scanning data and field data from the national forest inventory

Scandinavian Journal of Forest Research

Ana de Lera Garrido

Terje Gobakken

Marius Hauglin

Erik Næsset

Ole Martin Bollandsås

2023/2/17

See List of Professors in Terje Gobakken University(Norges miljø- og biovitenskapelige universitet)

Terje Gobakken FAQs

What is Terje Gobakken's h-index at Norges miljø- og biovitenskapelige universitet?

The h-index of Terje Gobakken has been 46 since 2020 and 62 in total.

What are Terje Gobakken's top articles?

The articles with the titles of

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time–and how this affects applications

Quantifying the roles of climate, herbivory, topography, and vegetation on tree establishment in the treeline ecotone

Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data

A stand level scenario model for the Norwegian forestry–a case study on forest management under climate change

Detecting the presence of natural forests using airborne laser scanning data

Detecting the presence of standing dead trees using airborne laser scanning and optical data

Taper, volume, and bark thickness models for spruce, pine, and birch in Norway

...

are the top articles of Terje Gobakken at Norges miljø- og biovitenskapelige universitet.

What is Terje Gobakken's total number of citations?

Terje Gobakken has 13,995 citations in total.