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Large-Area Empirically Based Visual Landscape Quality Assessment for Spatial Planning—A Validation Approach by Method Triangulation

Author

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  • Michael Roth

    (Landscape Planning, Especially Landscape Informatics, School of Environment/Design/Therapy, Nürtingen-Geislingen University, 72622 Nürtingen, Germany)

  • Silvio Hildebrandt

    (Institute of Landscape and Environment, Nürtingen-Geislingen University, 72622 Nürtingen, Germany)

  • Ulrich Walz

    (Landscape Ecology and Geographical Information Systems, Faculty of Agriculture/Environment/Chemistry, Dresden University of Applied Sciences, 01069 Dresden, Germany)

  • Wolfgang Wende

    (Leibniz Institute of Ecological Urban and Regional Development, Research Area Landscape Change and Management, 01217 Dresden, Germany)

Abstract

Large area visual landscape quality assessment, especially at the national level is needed to answer the demand from strategic planning. In our paper, we describe and compare two recent modelling approaches for this task regarding their theoretical and empirical basis, resolution, model configuration and results. To compare the outcomes of the two methods, both correlation measures and a visual overlay analysing the inversions are used. The results show, that despite the different methodological approaches, in over 90% of the area of Germany there are only minor deviations between the resulting scenic quality maps (less or equal one step on a five-step scale). The main differences occur due to a different relative weight given to terrain and water indicators in the respective methods. We conclude that a methodologically valid scenic quality evaluation using geodata of homogenous quality is possible also at the national level. By triangulating between different methods, for both, the validity could be proven. The datasets elaborated can also be used as a benchmark for regional landscape assessments and for an upcoming monitoring of changes in visual landscape quality.

Suggested Citation

  • Michael Roth & Silvio Hildebrandt & Ulrich Walz & Wolfgang Wende, 2021. "Large-Area Empirically Based Visual Landscape Quality Assessment for Spatial Planning—A Validation Approach by Method Triangulation," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1891-:d:496686
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    References listed on IDEAS

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    2. Hermes, Johannes & Albert, Christian & von Haaren, Christina, 2018. "Assessing the aesthetic quality of landscapes in Germany," Ecosystem Services, Elsevier, vol. 31(PC), pages 296-307.
    3. Sklenicka, Petr & Zouhar, Jan, 2018. "Predicting the visual impact of onshore wind farms via landscape indices: A method for objectivizing planning and decision processes," Applied Energy, Elsevier, vol. 209(C), pages 445-454.
    4. Wende, Wolfgang & Walz, Ulrich & Stein, Christian, 2020. "Evaluating municipal landscape plans and their influence on selected aspects of landscape development – An empirical study from Germany," Land Use Policy, Elsevier, vol. 99(C).
    5. Walz, Ulrich, 2015. "Indicators to monitor the structural diversity of landscapes," Ecological Modelling, Elsevier, vol. 295(C), pages 88-106.
    6. Robert, Samuel, 2018. "Assessing the visual landscape potential of coastal territories for spatial planning. A case study in the French Mediterranean," Land Use Policy, Elsevier, vol. 72(C), pages 138-151.
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    1. Jann Michael Weinand & Russell McKenna & Heidi Heinrichs & Michael Roth & Detlef Stolten & Wolf Fichtner, 2021. "Exploring the trilemma of cost-efficient, equitable and publicly acceptable onshore wind expansion planning," Papers 2106.15198, arXiv.org.

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