Juha Suomalainen

Finnish Geospatial Research Institute, Geological Survey of Finland

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About

Juha Suomalainen is a pioneering researcher in autonomous aerial robotics and forest remote sensing, whose work bridges the gap between drone technology and ecological monitoring. His primary research areas include under-canopy drone navigation, photogrammetric forest inventory, and autonomous robotic systems for environmental data collection. Suomalainen’s major contributions lie in developing lightweight, autonomous drones capable of navigating dense forest interiors—a notoriously challenging environment for aerial vehicles. His 2024 paper on an autonomous robotic drone system for mapping forest interiors (3 citations) introduces a novel approach to under-canopy data collection, enabling high-resolution 3D mapping without GPS reliance. The following year, his work on autonomous photogrammetric forest inventory (2 citations) advanced this concept further, demonstrating how small drones can autonomously capture stem positions and tree metrics in real-world forest plots. Though early in citation impact, these studies are foundational for precision forestry and ecological monitoring. Suomalainen’s achievements include integrating real-time obstacle avoidance, SLAM-based localization, and lightweight sensor payloads, setting a new standard for under-canopy robotics. His research promises to revolutionize how scientists and foresters assess carbon stocks, biodiversity, and timber resources in inaccessible terrains.