Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2023
Abstract
The objective of this study is to identify the needs related to geospatial LC, LU, and LCLUC information for spatial planning in Poland and Norway, and examine the usefulness of CLMS products in the context of these planning systems. The research has conducted based on a comparative analysis of two planning systems, to indicate areas where CLMS can improve or supplement national spatial data. The study shows that CLMS can provide information on up-to-date spatial data showing actual LC/LU/LCLUC, but that the degree of detail and the accuracy may be insufficient. CLMS data is harmonised across Europe and thus meets the need expressed by international organisations, for data that are consistent at a continental level. This is not a requirement in national planning systems in Poland and Norway, where the needs are regulated by national legislation. The thematic and geometric accuracy of national data sources are usually better than the data provided by CLMS, but CLMS might fill gaps when specific topics are missing in national mapping programs.
Authors
Christina SoggeAbstract
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Linn Borgen NilsenAbstract
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Tove Vaaje-KolstadAbstract
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Jonathan RizziAbstract
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Erlend Hustad Honningdalsnes Helge Bonesmo Erik Stensrud Marstein Steve Völler Heine Nygard RiiseAbstract
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Erlend Hustad Honningdalsnes Helge Bonesmo Erik Stensrud Marstein Steve Völler Heine Nygard RiiseAbstract
No abstract has been registered
Abstract
CAPTURE project meeting presentation: assess the suitability of different cover crops for C sequestration under Norwegian conditions.
Abstract
Up-to-date and reliable information on land cover and land use status is important in many aspects of human activities. Knowledge about the reference dataset, its coverage, nomenclature, thematic and geometric accuracy, spatial resolution is crucial for appropriate selection of reference samples used in the classification process. In this study, we examined the impact of the selection and pre-processing of reference samples for the classification accuracy. The classification based on Random Forest algorithm was performed using firstly the automatically selected reference samples derived directly from the national databases, and secondly using the pre-processed and verified reference samples. The verification procedures involved the iterative analysis of histogram of spectral features derived from the Sentinel-2 data for individual land cover classes. The verification of the reference samples improved the accuracy of delineation of all land cover classes. The highest improvement was achieved for the woodland broadleaved and non- and sparce vegetation classes, with the overall accuracy increasing from 51% to 73%, and from 33% to 74%, respectively. The second objective of this study was to derive the best possible land cover classification over the mountain area in Norway, therefore we examined whether the use of the Digital Elevation Model (DEM) can improve the classification results. Classifications were carried out based on Sentinel-2 data and a combination of Sentinel-2 and DEM. Using the DEM the accuracy for nine out of ten land cover classes was improved. The highest improvement was achieved for classes located at higher altitudes: low vegetation and non- and sparse vegetation.
Authors
Margrethe Therkildsen Mogens Vestergaard Morten Kargo Liisa Keto Per Ertbjerg Gudjon Thorkelsson Maria Gudjónsdóttir Maria Kjetså Mervi Honkatukia Bjørg Egelandsdal Nina Svartedal Morten Røe Freddy W. Fikse Anders H. Karlsson Anna HessleAbstract
Native livestock breeds are part of the history of the Nordic people and comprise a resource for future food production. In this study, net gain and carcass characteristics of two Danish, three Finnish, one Icelandic, six Norwegian and five Swedish native cattle breeds were retrieved and compared to commercial breeds: two beef breeds and two dairy breeds. Breed data were collected from national databases and sorted into six animal categories: young bull, bull, steer, heifer, young cow and cow, for which means and standard deviations were calculated within each country. The native breeds ranged from small-sized milking type breeds with low net gain, carcass weights and EUROP classification to larger multipurpose breeds with high net gains, carcass weights and EUROP classification. All Finnish and most of the Norwegian and Swedish native breeds had lower net gain and carcass weight than the dairy breeds in the same category and country, but with similar carcass conformation and fatness scores. The two Danish native breeds had higher net gain, carcass weight and conformation class than the reference dairy breed, but lower than the reference beef breeds. The net gain and carcass traits of the Icelandic native breed were similar to the smallest-sized native breeds from the other countries. The carcass traits of the native breeds indicate that they have comparative advantages in an extensive production system based on forage and marginal grasslands. They may also succeed better in the value-added markets than in mainstream beef production.