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.
2011
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John Marshall Bryden Sjur Baardsen Katja Strøm Cappelen Kjersti Nordskog Karen RefsgaardAbstract
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Lampros LamprinakisAbstract
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Jarle Werner Bjerke Stef Bokhorst Matthias Zielke Terry V. Callaghan Francis W Bowles Gareth K. PhoenixAbstract
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Vegetation height information is one of the most important variables for predicting forest attributes such as timber volume and biomass. Although airborne laser scanning (ALS) data are operationally used in forest planning inventories in Norway, a regularly repeated acquisition of ALS data for large regions has yet to be realized. Therefore, several research groups analyze the use of other data sources to retrieve vegetation height information. One very promising approach is the photogrammetric derivation of vegetation heights from overlapping digital aerial images. Aerial images are acquired over almost all European countries on a regular basis making image data readily available. The Norwegian Forest and Landscape Institute (Skog og Landskap) invited researchers and practitioners that produce and utilize photogrammetric data to share their experiences. More than 30 participants followed the invitation and contributed to a successful event with interesting presentations and discussions. We wish to thank the speakers for their contributions and hope that all participants found the seminar useful. These short proceedings of the seminar include summaries of the talks. The presentations, which provide more information, can be found at the end of this document.
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Abstract – Crop losses at the farm level: A multidimensional approach
Andrea Ficke, David M. Gadoury
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Arnfinn Nes Anne-Berit Wold Siv Fagertun Remberg Hans EspelienAbstract
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Inger MartinussenAbstract
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