Kaukokartoitusmenetelmät ilmastonmuutokseen sopeutuvan metsänhoidon tukena

The overall objective is to fortify climate resilience within the forestry sector of the Aurora regions, particularly in Finnish Lapland and Norrbotten, Sweden.

Focused on the integration of advanced remote sensing and artificial intelligence (AI) technologies, RESONATE seeks to enhance forest management practices by enabling precise monitoring of forest tree mortality. The overarching aim is to equip forest owners and forestry professionals with innovative tools and data-driven insights, facilitating informed decision-making and the implementation of sustainable management strategies to combat the impacts of climate change on forest ecosystems.

The project is organized into six work packages (WPs): WP 1: developing a conceptual and analytical framework with stakeholders, WP 2: employing remote sensing data for forestry, WP 3: creating a model for detecting tree mortality, WP 4: developing a cloud-based platform for climate-resilient forest management , and WP 5: engaging in cross-border dissemination to share results and involve stakeholders.

Key outcomes include a tree mortality detection model, five public articles and document innovative methodologies, and a user-friendly platform for data dissemination. By fostering cross-border cooperation and leveraging cutting-edge technologies, RESONATE aspires to make a significant contribution to sustainable forest management, ensuring the effective monitoring of forest ecosystems in the face of evolving climate challenges.