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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.

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Viimeksi tallennetut

  • 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)
  • Chapter 6 : Lifelong learning through AKIS
    Tamsalu, Hanna; Lahnamäki-Kivelä, Susanna; Verbackel, Doreen; Gibson, Mark; Grodzka, Ewa; Sylvain, Sturel (European commission, 2026)
  • On the Limits of Taylor’s Hypothesis in Forest Clear-Cut Flow: Effects of Random Sweeping and an Elliptic Model Analysis
    Chowdhuri, Subharthi; Mammarella, Ivan; Peltola, Olli
    Journal of the atmospheric sciences : 9 (American Meteorological Society, 2026)
    Taylor’s hypothesis (TH) converts temporal observations to spatial information of the flow while carrying out measurements on a micrometeorological tower. Other than TH, there exists a more general elliptic model, which converts time to space by focusing on the geometry of the space–time correlation function. In the elliptic model, TH is recovered when the space–time correlation functions are straight lines, and when TH is invalid, they are approximated as elliptic curves. To test whether TH or an elliptic model was appropriate for a highly heterogeneous forest clear-cut flow, we examined the geometry of the space–time correlation function of temperature by using an extensive distributed temperature sensing (DTS) dataset collected during daytime convective conditions at a height of 3.1 m above the clearing. This was complemented with an eddy covariance (EC) dataset that measured the turbulence characteristics. When the mean wind was parallel to a nearby forest edge, the DTS-derived space–time correlation function of temperature fluctuations resembled elliptic curves, rather than straight lines as predicted by TH. Due to large turbulence intensities, the curvatures in the space–time correlation contours were caused by the random sweeping events associated with large-scale eddies that invalidated the frozen turbulence assumption in TH. The velocity scale of these sweeping events correlated with the turbulence kinetic energy of the clear-cut flow, thereby lending support to the random sweeping hypothesis. Upon converting time to space through an elliptic and TH-based scaling, our results demonstrated that both temporal DTS and EC temperature measurements were impacted by the random sweeping events.
  • Omenatarhan vartijat löytyvät lähimetsästä
    Nissinen, Anne; Shameer, K. S.; Bitz, oliver; Latvala, Satu; Lindqvist, Isa; Tuovinen, Tuomo; Himanen, Sari; Ojanen, Hannu; Hardy, Ian C. W.
    Luomulehti : 3 (Luomu-Liitto, 2026)