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.
2018
Authors
Monika Suškevičs Matthias Buchecker Sebastian Eiter Dina Stober Igor Kuvač Berthe Jongejan Stanislav Martinat Cheryl de BoerAbstract
No abstract has been registered
Authors
Monika Suškevičs Sebastian Eiter Stanislav Martinat Dina Stober Elis Vollmer Cheryl L. de Boer Matthias BucheckerAbstract
The successful transition towards renewable energy (RE) technologies is closely intertwined with various societal aspects. Wind energy (WE) is one of the most controversial RE-types, possibly due to the multiplicity of related public concerns. Although some European country-comparisons exist, research concerning acceptance factors in different political and cultural planning contexts is scarce, especially in Eastern and Southern Europe. This paper explores the variation of (1) acceptance issues across Europe, and (2) patterns of strategic and local planning in affecting WE acceptance. We conducted an expert survey among the members of the COST Action ‘Renewable Energy and Landscape Quality’ and the association Wind Energy Europe. We found that acceptance issues – as perceived by the experts – across different regions in Europe share certain similarities, such as concerns about landscape impacts. The priority-levels of acceptance issues are specific to each region and link to the planning quality in that context. Planners’ and decision-makers’ increased awareness about the diversity of acceptance issues would allow them to design more appropriate strategic and local planning processes.
Abstract
No abstract has been registered
Authors
Matthias Buchecker Sebastian Eiter Dina Stober Monika Suškevičs Cheryl de Boer Berthe JongejanAbstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
This article aims to explore differences in motivation for and actual use of allotment gardens. Results from questionnaire surveys and semistructured interviews in two Norwegian and one Dutch garden show that growing vegetables and consuming the harvest is a fundamental part of gardening. The same is true for the social element—meeting and talking to other gardeners, and feeling as part of a community. Although gardeners with different socioeconomic backgrounds experience gardening to some extent similarly, access to an allotment seems more important for gardeners with disadvantaged personal backgrounds: both their diets and their social networks rely more on, and benefit more from, their allotments. This underlines the importance of providing easy access to gardening opportunities for all urban residents, and disadvantaged groups in particular. Public officers and policy makers should consider this when deciding upon new gardening sites or public investments in urban food gardens.
Abstract
No abstract has been registered
Abstract
The amount of rented farmland in Norway has increased steadily since the 1950s. Concerns have been raised questioning whether farmland is treated less well by tenants compared to landowners. This study aims to investigate how farmers perceive their treatment of rented farmland, which factors impact their decisionmaking related to this and if farmers are concerned about farmland elements that are less important for productivity but mainly of interest for cultural heritage or environmental management reasons. Semi-structured interviews with a group of randomly selected farmers were carried out in an area dominated by intensive agriculture. Independent of, for example, amount of rented land or duration of the rental agreement, all farmers agreed that rented land was treated well. A strong competition for farmland in combination with farmers being dependent on renting land was the most important reason. Results from this study may be transferrable to other farming areas, at least where competition for farmland is comparable. We do suggest, however, that any further research on treatment of rented farmland in Norway should take a regional approach, since national statistics may cover significant regional differences.
Abstract
Inspired by the success of deep learning techniques in dense-label prediction and the increasing availability of high precision airborne light detection and ranging (LiDAR) data, we present a research process that compares a collection of well-proven semantic segmentation architectures based on the deep learning approach. Our investigation concludes with the proposition of some novel deep learning architectures for generating detailed land resource maps by employing a semantic segmentation approach. The contribution of our work is threefold. (1) First, we implement the multiclass version of the intersection-over-union (IoU) loss function that contributes to handling highly imbalanced datasets and preventing overfitting. (2) Thereafter, we propose a novel deep learning architecture integrating the deep atrous network architecture with the stochastic depth approach for speeding up the learning process, and impose a regularization effect. (3) Finally, we introduce an early fusion deep layer that combines image-based and LiDAR-derived features. In a benchmark study carried out using the Follo 2014 LiDAR data and the NIBIO AR5 land resources dataset, we compare our proposals to other deep learning architectures. A quantitative comparison shows that our best proposal provides more than 5% relative improvement in terms of mean intersection-over-union over the atrous network, providing a basis for a more frequent and improved use of LiDAR data for automatic land cover segmentation.
Authors
Geir-Harald StrandAbstract
No abstract has been registered