Kaja Kandare successfully defended her doctoral thesis, “Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales”, on 25 August 2017. Continue reading
Tag Archives: airborne laser scanning
Estimation of biomass in tropical rainforest using airborne laser scanning
Endre Hofstad Hansen successfully defended his doctoral thesis, “Estimation of biomass in tropical rainforest using airborne laser scanning”, on October 30, 2015.
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Methods for estimating volume, biomass and tree species diversity using field inventory and airborne laser scanning in the tropical forests of Tanzania
Ernest William Mauya successfully defended his doctoral thesis, “Methods for estimating volume, biomass and tree species diversity using field inventory and airborne laser scanning in the tropical forests of Tanzania”, on October 28, 2015.
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Successful seminar on vegetation changes in tree line
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
Public PhD dissertations October 2015
Public PhD dissertations October 2015
LiDAR, habitat structure and the ecology of ungulates in a landscape of fear
Karen Lone successfully defended her doctoral thesis, “LIDAR, habitat structure and the ecology of ungulates in a landscape of fear”, on February 13, 2015.
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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
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