Erik Naesset

About Erik Naesset

Erik Naesset, With an exceptional h-index of 79 and a recent h-index of 53 (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:

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

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

Remote sensing in forestry: Current challenges, considerations and directions

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

How many bootstrap replications are necessary for estimating remote sensing-assisted, model-based standard errors?

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

On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake

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

Erik Naesset Information

University

Norges miljø- og biovitenskapelige universitet

Position

___

Citations(all)

24785

Citations(since 2020)

10099

Cited By

19092

hIndex(all)

79

hIndex(since 2020)

53

i10Index(all)

238

i10Index(since 2020)

196

Email

University Profile Page

Norges miljø- og biovitenskapelige universitet

Top articles of Erik Naesset

Title

Journal

Author(s)

Publication Date

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

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

Remote sensing in forestry: Current challenges, considerations and directions

Fabian Ewald Fassnacht

Joanne C White

Michael A Wulder

Erik Næsset

2024/1

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

How many bootstrap replications are necessary for estimating remote sensing-assisted, model-based standard errors?

Remote Sensing of Environment

Ronald E McRoberts

Erik Næsset

Zhengyang Hou

Göran Ståhl

Svetlana Saarela

...

2023/4/1

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

On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake

Environmental Research Letters

Neha Hunka

Maurizio Santoro

John Armston

Ralph Dubayah

Ronald E McRoberts

...

2023/11/23

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

Tree biomass does not correlate with soil carbon stocks in forest‐tundra ecotones along a 1100 km latitudinal gradient in Norway

Ecography

Claire Céline Devos

Mikael Ohlson

Erik Næsset

Kari Klanderud

Ole Martin Bollandsås

2023/11

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

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 simple slope correction of horizontally measured albedo in sloping terrain

Agricultural and Forest Meteorology

Eirik Næsset Ramtvedt

Erik Næsset

2023/8/15

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

Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory

Environmental Research Letters

Eric L Bullock

Sean P Healey

Zhiqiang Yang

Regino Acosta

Hermelinda Villalba

...

2023/8/1

A method for continuous sub-annual mapping of forest disturbances using optical time series

Remote Sensing of Environment

Daniele Marinelli

Michele Dalponte

Lorenzo Frizzera

Erik Næsset

Damiano Gianelle

2023/12/15

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

See List of Professors in Erik Naesset University(Norges miljø- og biovitenskapelige universitet)

Erik Naesset FAQs

What is Erik Naesset's h-index at Norges miljø- og biovitenskapelige universitet?

The h-index of Erik Naesset has been 53 since 2020 and 79 in total.

What are Erik Naesset's top articles?

The articles with the titles of

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

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

Remote sensing in forestry: Current challenges, considerations and directions

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

How many bootstrap replications are necessary for estimating remote sensing-assisted, model-based standard errors?

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

On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake

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

...

are the top articles of Erik Naesset at Norges miljø- og biovitenskapelige universitet.

What is Erik Naesset's total number of citations?

Erik Naesset has 24,785 citations in total.