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.
2020
Sammendrag
In this study, we aim at developing ways to directly translate raw drone data into actionable insights, thus enabling us to make management decisions directly from drone data. Drone photogrammetric data and data analytics were used to model stand-level immediate tending need and cost in regeneration forests. Field reference data were used to train and validate a logistic model for the binary classification of immediate tending need and a multiple linear regression model to predict the cost to perform the tending operation. The performance of the models derived from drone data was compared to models utilizing the following alternative data sources: airborne laser scanning data (ALS), prior information from forest management plans (Prior) and the combination of drone +Prior and ALS +Prior. The use of drone data and prior information outperformed the remaining alternatives in terms of classification of tending needs, whereas drone data alone resulted in the most accurate cost models. Our results are encouraging for further use of drones in the operational management of regeneration forests and show that drone data and data analytics are useful for deriving actionable insights. Key words: UAV, DAP, forest inventory, photogrammetry, precommercial thinning, airborne laser scanning.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
O. Janne Kjønaas Teresa Gómez de la Bárcena Ryan Bright Mette Hansen Gro Hylen Håvard Kauserud Sunil Mundra Jørn-Frode Nordbakken Morten Simonsen Tonje Økland Carlo AallSammendrag
Det er ikke registrert sammendrag
Forfattere
O. Janne Kjønaas Ryan Bright Gro Hylen Teresa Gómez de la Bárcena Tonje Økland Jørn-Frode Nordbakken Mette Hansen Sunil Mundra Håvard Kauserud Morten Simonsen Carlo AallSammendrag
Det er ikke registrert sammendrag
Forfattere
Anders Bryn Thea Grobstok Dalen Eirik Aasmo Finne Hanne Heiberg Irene Brox Nilsen Frans-Jan W. Parmentier Christine Snekkenes Frode Stordal Kjetil Schanke Aas Inge Althuizen Terje Koren Berntsen Jarle W. Bjerke Ryan Bright Anita Verpe Dyrrdal Sonya Rita Geange Norbert Pirk Oskar Puschmann Hui Tang Michal Torma Ane Victoria Vollsnes Sebastian Westermann Yeliz YilmazSammendrag
Det er ikke registrert sammendrag
Forfattere
O. Janne Kjønaas Teresa Gómez de la Bárcena Ryan Bright Mette Hansen Gro Hylen Håvard Kauserud Sunil Mundra Jørn-Frode Nordbakken Morten Simonsen Tonje Økland Carlo AallSammendrag
Det er ikke registrert sammendrag
Sammendrag
Past: In the early twentieth century, forestry was one of the most important sectors in Norway and an agitated discussion about the perceived decline of forest resources due to over-exploitation was ongoing. To base the discussion on facts, the young state of Norway established Landsskogtakseringen – the world’s first National Forest Inventory (NFI). Field work started in 1919 and was carried out by county. Trees were recorded on 10 m wide strips with 1–5 km interspaces. Site quality and land cover categories were recorded along each strip. Results for the first county were published in 1920, and by 1930 most forests below the coniferous tree line were inventoried. The 2nd to 5th inventories followed in the years 1937–1986. As of 1954, temporary sample plot clusters on a 3 km × 3 km grid were used as sampling units. Present: The current NFI grid was implemented in the 6th NFI from 1986 to 1993, when permanent plots on a 3 km × 3 km grid were established below the coniferous tree line. As of the 7th inventory in 1994, the NFI is continuous, and 1/5 of the plots are measured annually. All trees with a diameter ≥ 5 cm are recorded on circular, 250 m2 plots. The NFI grid was expanded in 2005 to cover alpine regions with 3 km × 9 km and 9 km × 9 km grids. In 2012, the NFI grid within forest reserves was doubled along the cardinal directions. Clustered temporary plots are used periodically to facilitate county-level estimates. As of today, more than 120 variables are recorded in the NFI including bilberry cover, drainage status, deadwood, and forest health. Landuse changes are monitored and trees outside forests are recorded. Future: Considerable research efforts towards the integration of remote sensing technologies enable the publication of the Norwegian Forest Resource Map since 2015, which is also used for small area estimation at the municipality level. On the analysis side, capacity and software for long term growth and yield prognosis are being developed. Furthermore, we foresee the inclusion of further variables for monitoring ecosystem services, and an increasing demand for mapped information. The relatively simple NFI design has proven to be a robust choice for satisfying steadily increasing information needs and concurrently providing consistent time series.
Sammendrag
Denne rapporten belyser utviklingstrekk for utvalgte skogegenskaper, hovedsakelig for perioden 2002-2017, basert på data fra Landsskogtakseringen. Dette er utviklingstrekk som reflekterer hvordan norsk skogbruk praktiseres i forhold til miljøkriterier nedfelt i miljøstandarden Levende Skog, og som fra 2011 ble videreført gjennom Norsk PEFC Skogstandard. Rapporten er en oppfølging av tilsvarende statistikk for tidsrommet 1994-2012 som ble publisert i 2014.
Forfattere
Stefano Puliti Marius Hauglin Johannes Breidenbach Paul M. Montesano C.S.R. Neigh Johannes Rahlf Svein Solberg Torgeir Ferdinand Klingenberg Rasmus AstrupSammendrag
Det er ikke registrert sammendrag
2019
Sammendrag
Det er ikke registrert sammendrag