Hans Ole Ørka

About Hans Ole Ørka

Hans Ole Ørka, With an exceptional h-index of 28 and a recent h-index of 24 (since 2020), a distinguished researcher at Norges miljø- og biovitenskapelige universitet, specializes in the field of forestry, remote sensing.

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

Detecting the presence of natural forests using airborne laser scanning data

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

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

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

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

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

Hans Ole Ørka Information

University

Position

Researcher at

Citations(all)

4406

Citations(since 2020)

2476

Cited By

3103

hIndex(all)

28

hIndex(since 2020)

24

i10Index(all)

42

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Hans Ole Ørka Skills & Research Interests

forestry

remote sensing

Top articles of Hans Ole Ørka

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

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

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

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

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

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

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

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

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

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

Estimating forest attributes in airborne laser scanning based inventory using calibrated predictions from external models

Silva Fennica

Ana de Lera Garrido

Terje Gobakken

Hans Ole Ørka

Erik Næsset

Ole M Bollandsås

2022/4/25

Detection of Root, Butt, and Stem Rot presence in Norway spruce with hyperspectral imagery

Silva Fennica

Benjamin Allen

Michele Dalponte

Ari Hietala

Hans Ørka

Erik Næsset

...

2022

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

Ecological Indicators

Hans Ole Ørka

Marie-Claude Jutras-Perreault

Erik Næsset

Terje Gobakken

2022/3/1

UAV-based hyperspectral imagery for detection of root, butt, and stem rot in Norway Spruce

Remote Sensing

Benjamin Allen

Michele Dalponte

Hans Ole Ørka

Erik Næsset

Stefano Puliti

...

2022/8/8

Delineation of geomorphological woodland key habitats using airborne laser scanning

Remote Sensing

Hans Ole Ørka

Marie-Claude Jutras-Perreault

Jaime Candelas-Bielza

Terje Gobakken

2022/2/27

Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐and three‐dimensional information from UAV‐based aerial imagery

Remote Sensing in Ecology and Conservation

Ida Marielle Mienna

Kari Klanderud

Hans Ole Ørka

Anders Bryn

Ole Martin Bollandsås

2022/8

Detection of wood decay in Norway spruce trees using airborne hyperspectral data

Michele Dalponte

AJ Kallio

Hans Ole Ørka

Erik Næsset

Terje Gobakken

2022

Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data

International Journal of Applied Earth Observation and Geoinformation

Michele Dalponte

Yady Tatiana Solano-Correa

Hans Ole Ørka

Terje Gobakken

Erik Næsset

2022/5/1

Wood decay detection in Norway spruce forests based on airborne hyperspectral and ALS data

Remote Sensing

Michele Dalponte

Alvar JI Kallio

Hans Ole Ørka

Erik Næsset

Terje Gobakken

2022/1

Comparison of two algorithms for estimating stand-level changes and change indicators in a boreal forest in Norway

International Journal of Applied Earth Observation and Geoinformation

Marie-Claude Jutras-Perreault

Terje Gobakken

Hans Ole Ørka

2021/6/1

See List of Professors in Hans Ole Ørka University(Norges miljø- og biovitenskapelige universitet)