Hans Ole Ørka

According to our database, Hans Ole Ørka authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Ritwika Mukhopadhyay, Erik Næsset, Terje Gobakken, Ida Marielle Mienna, Jaime Candelas-Bielza, Gunnar Austrheim, Henrik J. Persson, Hans Ole Ørka, Bjørn-Eirik Roald, Ole Martin Bollandsås

Remote. Sens., July, 2023

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

Marie-Claude Jutras-Perreault, Terje Gobakken, Erik Næsset, Hans Ole Ørka

Remote. Sens., May, 2023

2022

Delineation of Geomorphological Woodland Key Habitats Using Airborne Laser Scanning.

Hans Ole Ørka, Marie-Claude Jutras-Perreault, Jaime Candelas-Bielza, Terje Gobakken

Remote. Sens., 2022

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

Michele Dalponte, Alvar J. I. Kallio, Hans Ole Ørka, Erik Næsset, Terje Gobakken

Remote. Sens., 2022

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

Benjamin Allen, Michele Dalponte, Hans Ole Ørka, Erik Næsset, Stefano Puliti, Rasmus Astrup, Terje Gobakken

Remote. Sens., 2022

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

Michele Dalponte, Yady Tatiana Solano Correa, Hans Ole Ørka, Terje Gobakken, Erik Næsset

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

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

Marie-Claude Jutras-Perreault, Terje Gobakken, Hans Ole Ørka

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia.

Habitamu Taddese, Zerihun Asrat, Ingunn Burud, Terje Gobakken, Hans Ole Ørka, Øystein B. Dick, Erik Næsset

Remote. Sens., 2020

2019

Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data.

Lennart Noordermeer, Roar Økseter, Hans Ole Ørka, Terje Gobakken, Erik Næsset, Ole Martin Bollandsås

Remote. Sens., 2019

Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland.

Darío Domingo, Hans Ole Ørka, Erik Næsset, Daud Jones Kachamba, Terje Gobakken

Remote. Sens., 2019

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data.

Ole Martin Bollandsås, Hans Ole Ørka, Michele Dalponte, Terje Gobakken, Erik Næsset

Remote. Sens., 2019

2017

Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data.

Kaja Kandare, Michele Dalponte, Hans Ole Ørka, Lorenzo Frizzera, Erik Næsset

Remote. Sens., 2017

Influence of Plot Size on Efficiency of Biomass Estimates in Inventories of Dry Tropical Forests Assisted by Photogrammetric Data from an Unmanned Aircraft System.

Daud Jones Kachamba, Hans Ole Ørka, Erik Næsset, Tron Eid, Terje Gobakken

Remote. Sens., 2017

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data.

Kaja Kandare, Hans Ole Ørka, Michele Dalponte, Erik Næsset, Terje Gobakken

Int. J. Appl. Earth Obs. Geoinformation, 2017

2016

Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland.

Daud Jones Kachamba, Hans Ole Ørka, Terje Gobakken, Tron Eid, Weston Mwase

Remote. Sens., 2016

Discriminating between Native Norway Spruce and Invasive Sitka Spruce - A Comparison of Multitemporal Landsat 8 Imagery, Aerial Images and Airborne Laser Scanner Data.

Marius Hauglin, Hans Ole Ørka

Remote. Sens., 2016

2015

Inventory of Small Forest Areas Using an Unmanned Aerial System.

Stefano Puliti, Hans Ole Ørka, Terje Gobakken, Erik Næsset

Remote. Sens., 2015

2014

Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data.

Michele Dalponte, Liviu Theodor Ene, Hans Ole Ørka, Terje Gobakken, Erik Næsset

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013

Tree Species Classification in Boreal Forests With Hyperspectral Data.

Michele Dalponte, Hans Ole Ørka, Terje Gobakken, Damiano Gianelle, Erik Næsset

IEEE Trans. Geosci. Remote. Sens., 2013

Unsupervised selection of training plots and trees for tree species classification.

Michele Dalponte, Liviu Theodor Ene, Hans Ole Ørka, Terje Gobakken, Erik Næsset

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013