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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.14652 |
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| _version_ | 1866913038059175936 |
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| author | Camurri, Marco Tomelleri, Enrico Mattamala, Matías Laina, Sebastián Barbas Jacquet, Martin Behley, Jens Kushwaha, Sunni Kanta Prasad Nan, Fang Chebrolu, Nived Freißmuth, Leonard Harms, Marvin Chayton Malladi, Meher V. R. Yang, Fan Frey, Jonas Cadena, Cesar Hutter, Marco Schweier, Janine Alexis, Kostas Stachniss, Cyrill Fallon, Maurice Leutenegger, Stefan |
| author_facet | Camurri, Marco Tomelleri, Enrico Mattamala, Matías Laina, Sebastián Barbas Jacquet, Martin Behley, Jens Kushwaha, Sunni Kanta Prasad Nan, Fang Chebrolu, Nived Freißmuth, Leonard Harms, Marvin Chayton Malladi, Meher V. R. Yang, Fan Frey, Jonas Cadena, Cesar Hutter, Marco Schweier, Janine Alexis, Kostas Stachniss, Cyrill Fallon, Maurice Leutenegger, Stefan |
| contents | Covering one third of Earth's land surface, forests are vital to global biodiversity, climate regulation, and human well-being. In Europe, forests and woodlands reach approximately 40% of land area, and the forestry sector is central to achieving the EU's climate neutrality and biodiversity goals; these emphasize sustainable forest management, increased use of long-lived wood products, and resilient forest ecosystems. To meet these goals and properly address their inherent challenges, current practices require further innovation. This chapter introduces DigiForest, a novel, large-scale precision forestry approach leveraging digital technologies and autonomous robotics. DigiForest is structured around four main components: (1) autonomous, heterogeneous mobile robots (aerial, legged, and marsupial) for tree-level data collection; (2) automated extraction of tree traits to build forest inventories; (3) a Decision Support System (DSS) for forecasting forest growth and supporting decision-making; and (4) low-impact selective logging using purpose-built autonomous harvesters. These technologies have been extensively validated in real-world conditions in several locations, including forests in Finland, the UK, and Switzerland. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_14652 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | DigiForest: Digital Analytics and Robotics for Sustainable Forestry Camurri, Marco Tomelleri, Enrico Mattamala, Matías Laina, Sebastián Barbas Jacquet, Martin Behley, Jens Kushwaha, Sunni Kanta Prasad Nan, Fang Chebrolu, Nived Freißmuth, Leonard Harms, Marvin Chayton Malladi, Meher V. R. Yang, Fan Frey, Jonas Cadena, Cesar Hutter, Marco Schweier, Janine Alexis, Kostas Stachniss, Cyrill Fallon, Maurice Leutenegger, Stefan Robotics Covering one third of Earth's land surface, forests are vital to global biodiversity, climate regulation, and human well-being. In Europe, forests and woodlands reach approximately 40% of land area, and the forestry sector is central to achieving the EU's climate neutrality and biodiversity goals; these emphasize sustainable forest management, increased use of long-lived wood products, and resilient forest ecosystems. To meet these goals and properly address their inherent challenges, current practices require further innovation. This chapter introduces DigiForest, a novel, large-scale precision forestry approach leveraging digital technologies and autonomous robotics. DigiForest is structured around four main components: (1) autonomous, heterogeneous mobile robots (aerial, legged, and marsupial) for tree-level data collection; (2) automated extraction of tree traits to build forest inventories; (3) a Decision Support System (DSS) for forecasting forest growth and supporting decision-making; and (4) low-impact selective logging using purpose-built autonomous harvesters. These technologies have been extensively validated in real-world conditions in several locations, including forests in Finland, the UK, and Switzerland. |
| title | DigiForest: Digital Analytics and Robotics for Sustainable Forestry |
| topic | Robotics |
| url | https://arxiv.org/abs/2604.14652 |