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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.

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DigiForest: Digital Analytics and Robotics for Sustainable Forestry

  • 章节

  • 发表日期：

    2026年

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  • Marco Camurri,
  • Enrico Tomelleri,
  • Matías Mattamala,
  • Sebastián Barbas Laina,
  • Martin Jacquet,
  • Jens Behley,
  • Sunni Kanta Prasad Kushwaha,
  • Fang Nan,
  • Nived Chebrolu,
  • Leonard Freißmuth,
  • Marvin Chayton Harms,
  • Meher V. R. Malladi,
  • Fan Yang,
  • Jonas Frey,
  • Cesar Cadena,
  • Marco Hutter,
  • Janine Schweier,
  • Kostas Alexis,
  • Cyrill Stachniss,
  • Maurice Fallon,
  • Stefan Leutenegger

摘要

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.