Jesse Muhojoki

Finnish Geospatial Research Institute, Geological Survey of Finland

Papers

Total Citations

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About

Jesse Muhojoki is a pioneering researcher at the intersection of forestry, robotics, and geospatial technology, whose work is driving the automation of forest operations. His primary research areas include mobile laser scanning, autonomous drone navigation, and precision forest inventory. Muhojoki’s major contribution lies in integrating advanced sensing systems directly into forestry machinery. His most cited work, "Integration of a Mobile Laser Scanning System with a Forest Harvester for Accurate Localization and Tree Stem Measurements" (2024, 18 citations), demonstrates how equipping harvesters with laser scanners can enable real-time, centimeter-level mapping of surrounding trees, optimizing the entire forest value chain. He has also advanced under-canopy robotics, developing an autonomous drone system capable of navigating dense forest interiors for photogrammetric inventory (2024, 3 citations), and is pushing toward fully autonomous photogrammetric methods (2025, 2 citations). By bridging the gap between remote sensing and operational forestry, Muhojoki’s research promises to significantly reduce manual measurement labor, improve data accuracy, and enable more sustainable, data-driven forest management.