Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150422
Title: Landscape perception : linking physical monitoring data to perceived landscape properties
Authors: Hedblom, Marcus
Hedenås, Henrik
Blicharska, Malgorzata
Adler, Sven
Knez, Igor
Mikusiński, Grzegorz
Svensson, Johan S.
Sandström, Stefan
Sandström, Per
Wardle, David A.
Keywords: Engineering::Environmental engineering
Issue Date: 2019
Source: Hedblom, M., Hedenås, H., Blicharska, M., Adler, S., Knez, I., Mikusiński, G., Svensson, J. S., Sandström, S., Sandström, P. & Wardle, D. A. (2019). Landscape perception : linking physical monitoring data to perceived landscape properties. Landscape Research, 45(2), 179-192. https://dx.doi.org/10.1080/01426397.2019.1611751
Journal: Landscape Research
Abstract: Changes in the landscape affect not only people’s well-being but also how people perceive and use the landscape. An increasing number of policies have highlighted the importance of conserving a landscape’s recreational and aesthetical values. This study develops and evaluates a model that links people’s perceptions of a mountain landscape to physical monitoring data. Using a questionnaire, we revealed how respondents working with the Swedish mountains characterise the Magnificent Mountain landscape (as defined by Swedish policy objectives) and translated these characteristics into data from the National Inventory of Landscapes in Sweden (NILS). We found 14 potential indicators that could be derived from the existing NILS physical monitoring data and which could be used to monitor changes in the landscape values as perceived by people. Based on the results, we suggest how to simultaneously utilise field sampling of physical data and field photos to provide temporal information about landscape perception.
URI: https://hdl.handle.net/10356/150422
ISSN: 0142-6397
DOI: 10.1080/01426397.2019.1611751
Rights: © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles

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