Harnessing Robotics for European Union Forest Habitats Monitoring: Toward a Robotic-Assisted Framework for Standardized Field Surveys
This paper presents a novel approach to forest habitat monitoring using robotics and advanced data analysis techniques. We introduce a quadrupedal robot with LiDAR and onboard cameras to collect detailed data about forest structure and composition. The data is then processed using a combination of data analysis techniques and machine learning algorithms to perform a comprehensive dendrometric and floristic survey. Our approach provides an efficient and accurate method for assessing the ecological health of forest ecosystems. This work contributes to the ongoing efforts in habitat conservation and offers a promising tool for future environmental monitoring tasks.
Authors
- Paolo Remagnino (ORCID: https://orcid.org/0000-0002-9168-7746)
- Manolo Garabini (ORCID: https://orcid.org/0000-0002-5873-3173)
- Franco Angelini (ORCID: https://orcid.org/0000-0003-2559-9569)
- Emanuele Fanfarillo (ORCID: https://orcid.org/0000-0001-5742-737X)
- Claudia Angiolini (ORCID: https://orcid.org/0000-0002-9125-764X)
- Tiberio Fiaschi (ORCID: https://orcid.org/0000-0003-0403-2387)
- Leopoldo de Simone (ORCID: https://orcid.org/0000-0002-3055-136X)
- Silvia Cannucci (ORCID: https://orcid.org/0000-0002-8415-1812)
- Simona Maccherini (ORCID: https://orcid.org/0000-0002-2025-7546)
- Simone Tolomei (ORCID: https://orcid.org/0009-0006-7928-3518)
- Giovanni Di Lorenzo (ORCID: https://orcid.org/0009-0009-6640-1927)
Institutions
- University of Siena (IT)
- Piaggio (Italy) (IT)
- Durham University (GB)
Publication Details
- Journal
- IEEE Robotics & Automation Magazine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/mra.2025.3584343
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00