Erik Næsset

Professor

Norwegian University of Life Sciences

Norway

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About

Erik Næsset is a Professor at the Norwegian University of Life Sciences in Norway. His research encompasses remote sensing applications in forestry, focusing on tree biomass estimation, forest attribute mapping, and the use of airborne laser scanning and multispectral data. Recent articles highlight his work on assessing forest ecosystems and predicting tree species composition in boreal forests.

Articles (15)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (22)

Ioan Dutca

Buckinghamshire New University

UNITED KINGDOM

Erik Næsset

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About

Articles (15)

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

Predicting tree species composition using airborne laser scanning and multispectral data in boreal forests

Effect of Albedo Footprint Size on Relationships between Measured Albedo and Forest Attributes for Small Forest Plots

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

Nexus of certain model-based estimators in remote sensing forest inventory

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

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

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

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

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

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce

Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data

A framework for a forest ecological base map – An example from Norway

Accommodating heteroscedasticity in allometric biomass models

Collaborators (22)

Ioan Dutca

Natascha Kljun

Suzanne Marselis

Ole Martin Bollandsås

Luigi Boschetti

Hans Ole Ørka

Kari Klanderud

Michael O'Brien

Christoph Rüdiger

Martin Krucek

Henrik J. Persson

Mikael Ohlson

José Antonio Manzanera

Kamil Král

Hans Verbeeck

Jorg Hacker

Marie-Claude Jutras-Perreault

Doreen Boyd

Terje Gobakken

Petteri Packalen

Adrian Fisher

Paul Aplin

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