Research Framework for the Co-evolution of Artificial Intelligence and Hyperspectral LiDAR
Description of the granted funding
Forests are central to achieving SDG 13 (Climate Action) and SDG 15 (Life on Land), as they contribute to climate change mitigation, biodiversity conservation, and global ecological balance. Hyperspectral LiDAR (HSL), a new remote sensing (RS) technology that integrates hyperspectral imaging and LiDAR, exhibits immense potential in forests. Recent advancements in artificial intelligence (AI) have highlighted the transformative impact of foundation models on Earth observation tasks using RS data. FGI has successfully developed multiple generations of HSL systems, the latest one incorporates features such as a wide field of view, eye-safe operation, and high spectral resolution. Leveraging this expertise and recent AI developments, this project aims to establish a comprehensive framework, integrating HSL system design, AI-driven modeling, and practical applications in forests.
Show moreStarting year
2025
End year
2029
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy research fellows
Decision maker
Scientific Council for Natural Sciences and Engineering
12.06.2025
12.06.2025
Other information
Funding decision number
368340
Fields of science
Electronic, automation and communications engineering, electronics
Research fields
Elektroniikka
Identified topics
forest, forestry