Mapping natural forest by means of remote sensing

Project title:
Mapping natural forest by means of remote sensing

Objectives:
Evaluating possibilities of applying recent development in remote sensing for characterizing forest structure and naturalness is of great interest from a forest monitoring perspective. Thus, the main objective of the research was to develop methods to identify natural forests, with emphasis on old natural forest.

Funded by:
Norwegian Environmental Agency

Timeframe:
2017-2018

 

Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales

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

NORKLIMA

Rapid changes are expected in the mountain forest and the forest-alpine transition zone due to global warming. Since steep temperature-productivity gradients characterize these marginal areas, two fundamental effects are expected: (1) an expansion of the forest by colonization of non-forested areas and migration of the alpine tree line; (2) increased growth of existing trees which will have a significant impact on carbon sequestration and future carbon pools. Continue reading