Kim Andre Anstensen Nielsen

I am a PhD candidate in the SmartForest project, focusing on the use of remote sensing and artificial intelligence in forest mapping. I have a background in environmental studies and hold a MSc in nature management, with a particular interest in spatial ecology, biodiversity, and various forms of nature governance. My MSc thesis, "Owners of Biodiversity", focused on whether levels of biodiversity are different across ownership types, forest property sizes, forest productivity classes, municipalities, distances to roads, as well as management regimes and goals in forests in South-East Norway.

My current research involves comparing the prediction accuracy of different remote sensing vehicles and sensors when predicting simple biophysical forest attributes, complex forest structures, as well as specific biodiversity indicators and habitats. The goal is to evaluate which types of sensors and platforms are best suited for different purposes within forest management and research.