The seminar, hosted at the Norwegian Research Council, Lysaker, gathered about 25 participants. The seminar marked the conclusion of a large research project funded by the Research Council’s NORKLIMA program. Continue reading
Author Archives: Hans Ole Ørka
One-day seminar “VEGETATION CHANGES IN THE TREE LINE”
On November 12 we will host a one-day seminar entitled “vegetation changes in the tree line”. The seminar marks the closing of a large research project financed by The Research Council of Norway under the NORKLIMA-program.
Tanzania
Tanzania project title: Enhancing the measuring, reporting and verification (MRV) of forest in Tanzania through the application of advanced remote sensing techniques Continue reading
UAV in forest planning
In this video, PhD student Stefano Puliti visually present his work with the use of UAV for collection of forestry inventory data. Continue reading
An ecological application: Using airborne laser scanning to study risk habitat for roe deer
In her PhD project, Karen Lone studies the ecology of forest dwelling ungulates in Norway using LiDAR to map habitat vegetation structure. Continue reading
Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources
Evaluations of forest inventories usually end when accuracy and precision have been quantified by researchers in the forest inventory and monitoring research group and published in Annals of forest Science.
On individual tree competition indices, airborne laser scanning, and plot edge bias
Rune Østergaard Pedersen presented a lecture on a predefined topic and defended his doctoral thesis on March 21, 2014. Continue reading
Modelling presence of swamp forest and forest dwelling birds in a boreal forest reserve using airborne laser scanning
John Wirkola Dirksen presented a lecture on a predefined topic and defended his doctoral thesis on November 1, 2013. Continue reading
Prediction of diameter distribution with MSN and SUR
This study used a non-parametric most similar neighbour (MSN) approach and a parametric seemingly unrelated regression (SUR) approach to model and to predict diameter distributions in conifer forests. Continue reading
Interpreting cultural remains in airborne laser scanning generated digital terrain models: effects of size and shape on detection success rates
In this study, we investigated which types and categories of cultural remains that were most likely to be detected and classified correctly Continue reading