Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2018
Forfattere
Rune EriksenSammendrag
Gjennom Miljøregistrering i skog (MiS) klassifiseres og registreres livsmiljøer (biotoper) som er viktige for rødlistede arter, og Landsskogtakseringen fanger opp hvordan disse fordeler seg. Forekomsten av de ulike livsmiljøene har holdt seg stabil de siste årene. Liggende død ved er det vanligst forekommende livsmiljøet, med 16–17 prosent arealdekning.
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Forfattere
Johannes BreidenbachSammendrag
Det er ikke registrert sammendrag
Sammendrag
The effectiveness of generating virtual transects on unmanned aerial vehicle-derived orthomosaics was evaluated in estimating the extent of soil disturbance by severity class. Combinations of 4 transect lengths (5–50 m) and five sampling intensities (1–20 transects per ha) were used in assessing traffic intensity and the severity of soil disturbance on six post-harvest, cut-to-length (CTL) clearfell sites. In total, 15% of the 33 ha studied showed some trace of vehicle traffic. Of this, 63% of was categorized as light (no visible surface disturbance). Traffic intensity varied from 787 to 1256 m ha−1, with a weighted mean of 956 m ha−1, approximately twice the geometrical minimum achievable with CTL technology under perfect conditions. An overall weighted mean of 4.7% of the total site area was compromised by severe rutting. A high sampling intensity, increasing with decreasing incidence of soil disturbance, is required if mean estimation error is to be kept below 20%. The paper presents a methodology that can be generally applied in forest management or in similar land-use evaluations.
Sammendrag
Unmanned aerial vehicles (UAVs) are increasingly used as tools to perform a detailed assessment of post-harvest sites. One of the potential use of UAV photogrammetric data is to obtain tree-stump information that can then be used to support more precise decisions. This study developed and tested a methodology to automatically detect, segment, classify, and measure tree-stumps. Among the potential applications for single stump data, this study assessed the possibility (1) to detect and map root- and butt-rot on the stumps using a machine learning approach, and (2) directly measure or model tree stump diameter from the UAV data. The results revealed that the tree-stumps were detected with an overall accuracy of 68–80%, and once the stump was detected, the presence of root- and butt-rot was detected with an accuracy of 82.1%. Furthermore, the root mean square error of the UAV-derived measurements or model predictions for the stump diameter was 7.5 cm and 6.4 cm, respectively, and with the former systematically under predicting the diameter by 3.3 cm. The results of this study are promising and can lead to the development of more cost-effective and comprehensive UAV post-harvest surveys.