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

Use of Airborne Laser Scanner Data for Ecological Applications

Forest structure is important for analyses of ecological issues such as abundance of certain plant‐, animal‐ and insect species. Forest structure may be characterized to a high detail by airborne laser scanning. This was the background for the seminar held on the 23. June 2011 at the Department of ecology and natural resource management.

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