GeoAI explained soil mapping of Finnish forests
The Finnish Research Impact Foundation
University of Helsinki
The properties of forest soil are a crucial determinant of what type of forest management yields the best results. Accurate identification of the soil type helps in selecting the most appropriate tree species, assessing the regenerative capacity of forest soil, and determining the passability of the soil during different seasons. Tailoring forest management measures to suit each site helps to improve carbon sequestration, reduce environmental damage, and ultimately increase the public acceptability of forestry. This joint project between the University of Helsinki and Arbonaut will develop a deep-learning based method for producing accurate forecasts of forest soil properties for use by all forestry operators. It will also explore how best to visualize data on soil properties for different types of decision-making situations in forest management.
Tandem Industry Academia (TIA) Postdoc (2024)