Luke
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Jukuri

Tervetuloa käyttämään Jukuria, Luonnonvarakeskuksen (Luke) avointa julkaisuarkistoa. Jukurissa on tiedot Luken julkaisutuotannosta. Osa julkaisuista on vapaasti ladattavissa. Luken muodostaneiden tutkimuslaitosten aikaisemmasta julkaisutuotannosta osan tiedot ovat järjestelmässä jo nyt ja kattavuus paranee jatkuvasti.

Kokoelmat

Viimeksi tallennetut

  • Effects of healthy diets on production and land use in Finnish agriculture and implied greenhouse gas emissions until 2045
    Lehtonen, Heikki Sakari; Saarinen, Merja; Kyttä, Venla
    Agricultural and food science (Scientific Agricultural Society of Finland, 2026)
  • The glacial theorist Louis Agassiz and the parable of the sunfish
    Helama, Samuli
    Geologi : 3 (Suomen geologinen seura, 2026)
  • Natural variation in circadian period is associated with diverse phenological measures in Boechera stricta
    McMinn, Rob; Salmela, Matti J; Weinig, Cynthia
    Annals of botany : 4 (Oxford University Press, 2026)
  • Real-time monitoring of thinning intensity using harvester data and remote sensing-based single-tree maps
    Holmström, Eero; Lopatin, Evgeny; Väätäinen, Kari; Acuna, Mauricio; García-Pascual, Borja; Kaartinen, Harri; Hyyti, Heikki; Koivusalo, Anssi; Backas, Joni; Pohjala, Johannes; Kymäläinen, Heli; Kärhä, Kalle; Routa, Johanna; Sikanen, Lauri
    International journal of forest engineering (Taylor & Francis, 2026)
    Achieving the recommended basal area and stem density of remaining trees in cut-to-length thinning operations can be a challenging task for the harvester operator. In recent years, thinning intensities have often violated recommended limits in the Nordic countries, and operators have expressed their desire for decision support and reporting assistance in thinnings. Here, we introduce a new concept named R-TIM (Real-Time Thinning Intensity Monitor) for the real-time monitoring of thinning intensity. R-TIM leverages a remote sensing-based single-tree level digital twin of the stand, maintained up to date during harvesting through matching harvested trees with their counterparts in the map. The properties of standing tree stock are calculated from the digital twin and the properties of removed stock from harvester measurements. Using simulations and field data from a test site in southern Finland, our tree matching algorithm attained an accuracy of over 85% for mean crane-tip positioning errors of 1 m or less. In the same positioning error range, the mean error in R-TIM-reported basal area of standing stock was below 0.5 m2/ha. The crane-tip positioning error estimated in the real harvesting was 0.71 ± 0.03 m, which is representative of modern crane-tip positioning accuracy and signals the feasibility of R-TIM for operational use.
  • Circular economy side streams accelerate ecosystem recovery on mine tailings in northern conditions
    Hagner, Marleena; Manninen, Outi; Peltola, Rainer; Ranta, Kuisma; Hietanen, Jari; Uusitalo, Marja; Fourie, AB (toim.); Boggs, G (toim.); Heyes, J (toim.); Tibbett, M (toim.)
    Mine closure (Australian Centre for Geomechanics, 2026)