Graphic: Linnea flowers

Project: Identifying retained habitat using current and future laser and optical data

The project develops a remote sensing-based tool to identify and characterise retained habitat structures in managed forests. The aim is to improve planning, monitoring, and sustainability reporting in forestry.

Project information

Project manager at Linnaeus University
Johan Fransson
Other project members
Magnus Persson, (project manager), Delphine Lariviere, Per Westerfelt och Liviu Ene, Skogforsk.
Participating organizations
Linnaeus University, Skogforsk
Funder
Södra Skogsägarnas stiftelse för forskning, utveckling och utbildning
Timetable
April 1, 2024 – Dec 31, 2025
Subject
Forestry and wood technology (Department of Forestry and Wood Technology, Faculty of Technology)
Research groups
Forest Management, The Bridge
Knowledge Environment
Linnaeus Knowledge Environment: Green Sustainable Development
Website
https://www.skogforsk.se/projekt/hitta-lamnad-hansyn-med-dagens-och-framtidens-laser--och-optiska-data/

More about the project

From the positive experience with open forest map data in Sweden and Finland, it’s clear that offering the same solution world-wide would revolutionize forest management and business across the globe. The management of forest in the Nordic countries can of course be improved, but the fastest solution for climate change mitigation is to offer all other countries some of the opportunities that the forestry sector in Sweden and Finland have benefitted from during the initial digitalization age.

In this project, we will develop a new, hierarchical, flexible decision-making system for efficient forest mapping, utilizing a broad scale of remote sensing data sources, where hierarchical levels consist of remote sensing data with different resolutions. Here, we will use modern AI methods to form a new hierarchical system. The developed system will then be backed up by results from traditional computer vision methods such as texture analysis, saliency, and probabilistic object representation.

The power and strength in the research project are that we can use forest data and forest maps of Sweden and Finland as test beds to benchmark the methodology to be developed in the project. We strongly believe that the project largely will contribute to mitigate climate change, strengthen biodiversity and other societal values, and create new business models through the development of a new methodology for the next generation of forest maps. Our vision is to adapt the Nordic success story of open forest map data across the globe, benefiting from innovative AI technology and integrated use of remote sensing and field data.

The project is part of the research in the Forest Management research group, the collaboration The Bridge, and the Linnaeus Knowledge Environment Green Sustainable Development.