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.
2017
Sammendrag
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Sammendrag
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Sammendrag
Siden forrige trykking av 3Q-instruks for flybildetolking, rapport 08/2004, er tolkingsinstruksen vært gjennom omfattende endringer, og en ny revidert samlende 3Q-instruks for flybildetolking på trykt papir har vært etterspurt. Det er siste gjeldende tolkingsinstruks, versjon 2011, som nå utgis med denne rapporten.
Sammendrag
Agricultural landscapes are products of farming activity in the past and present. They are everyday landscapes for many people and are important for outdoor recreation. Many plant and animal species find their habitat in these landscapes, and a high number of cultural heritage sites can also be found there. At the same time, agricultural landscapes are continuously subject to change. To ensure sufficient information on how these landscapes change, a national monitoring programme with the acronym “3Q” was initiated in 1998, to document status, continuity and change in agricultural landscapes in Norway. The Division of Survey and Statistics at NIBIO is responsible for the programme.
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Forfattere
Lars Sandved DalenSammendrag
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Forfattere
Xian Li Shuhe Zhao Hong Yang Dianmin Cong Zhaohua ZhangSammendrag
Land use and cover change (LUCC) is important for the global biogeochemical cycle and ecosystem. This paper introduced a change detection method based on a bi-band binary mask and an improved fuzzy c-means algorithm to research the LUCC. First, the bi-band binary mask approach with the core concept being the correlation coefficients between bands from different images are used to locate target areas with a likelihood of having changed areas. Second, the improved fuzzy c-means (FCM) algorithm was used to execute classification on the target areas. This improved algorithm used distances to the Voronoi cell of the cluster instead of the Euclidean distance to the cluster center in the calculation of membership, and some other improvements were also used to decrease the loops and save time. Third, the post classification comparison was executed to get more accurate change information. As references, change detection using univariate band binary mask and NDVI binary mask were executed. The change detection methods were applied to Landsat 8 OLI images acquired in 2013 and 2015 to map LUCC in Chengwu, north China. The accuracy assessment was executed on classification results and change detection results. The overall accuracy of classification results of the improved FCM is 95.70% and the standard FCM is 84.40%. The average accuracy of change detection results using bi-band mask is 88.92%, using NDVI mask is 81.95%, and using univariate band binary mask is 56.01%. The result of the bi-band mask change detection shows that the change from farmland to built land is the main change type in the study area: total area is 9.03 km2. The developed method in the current study can be an effective approach to evaluate the LUCC and the results helpful for the land policy makers.
Forfattere
Vigdis Vandvik Tessa Bargmann Sigrid Skrivervik Bruvoll Matthew I. Daws Kristine Grimsrud Hanna Lee Pål Thorvaldsen Liv Guri Velle Joachim Paul TöpperSammendrag
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Forfattere
Anto Raja Dominic Ole Martin Eklo Marianne Stenrød Eivind Solbakken Roar Lågbu P Horney D Daehmlow Jörn StrassemeyerSammendrag
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Forfattere
Ming SuSammendrag
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