Hans Ole Ørka

According to our database1, Hans Ole Ørka authored at least 12 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data.
Remote. Sens., 2019

Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland.
Remote. Sens., 2019

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data.
Remote. Sens., 2019

2017
Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data.
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.
Remote. Sens., 2017

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2016
Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland.
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.
Remote. Sens., 2016

2015
Inventory of Small Forest Areas Using an Unmanned Aerial System.
Remote. Sens., 2015

2014
Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013
Tree Species Classification in Boreal Forests With Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2013

Unsupervised selection of training plots and trees for tree species classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


  Loading...