Detection of Hunting Pits using Airborne Laser Scanning and Deep Learning

Sammanfattning

Forests worldwide contain unique cultural traces of past human land use. Increased pressure on forest ecosystems and intensive modern forest management methods threaten these ancient monuments and cultural remains. In northern Europe, older forests often contain very old traces, such as millennia-old hunting pits and indigenous Sami hearths. Investigations have repeatedly found that forest owners often fail to protect these cultural remains and that many are damaged by forestry operations. Current maps of hunting pits are incomplete, and the locations of known pits have poor spatial accuracy. This study investigated whether hunting pits can be automatically mapped using national airborne laser data and deep learning. The best model correctly mapped 70% of all the hunting pits in the test data with an F1 score of 0.76. This model can be implemented across northern Scandinavia and could have an immediate effect on the protection of cultural remains.

Nyckelord

Archaeology; forest history; hunting pits; airborne laser scanning; artificial intelligence; deep learning; machine learning

Publicerad i

Journal of Field Archaeology
2024, Utgivare: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD

SLU författare

• Lidberg, William

  • Institutionen för skogens ekologi och skötsel, Sveriges lantbruksuniversitet
    

• Östlund, Lars

  • Institutionen för skogens ekologi och skötsel, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Skogsvetenskap
Arkeologi


Publikationens identifierare

DOI: https://doi.org/10.1080/00934690.2024.2364428

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/131683