Articles | Volume 77, issue 2
Geogr. Helv., 77, 165–178, 2022
Geogr. Helv., 77, 165–178, 2022
Standard article
04 May 2022
Standard article | 04 May 2022

What can we see from the road? Applications of a cumulative viewshed analysis on a US state highway network

Sterling D. Quinn

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S. Quinn
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W2-2021, 127–131,,, 2021

Related subject area

Others (Geographical Information Science, Remote Sensing, Cartography)
Geological monitoring networks for risk management close to large rock cliffs: the case history of Gallivaggio and Cataeggio in the italian Alps
Luca Dei Cas, Maria Luisa Pastore, Andrea Pavan, and Nicola Petrella
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Testing of photogrammetry for differentiation of soil organic carbon and biochar in sandy substrates
Wolfgang Fister, Nina Goldman, Marius Mayer, Manuel Suter, and Nikolaus J. Kuhn
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Alexis Comber and Werner Kuhn
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Nadine Feiger, Matthias Huss, Silvan Leinss, Leo Sold, and Daniel Farinotti
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Cited articles

Appleyard, D., Lynch, K., and Myer, J. R.: The View from the Road, MIT Press, Cambridge, Massachusetts, United States, ISBN 9780262010153, 1964. 
Bachi, L., Ribeiro, S. C., Hermes, J., and Saadi, A.: Cultural Ecosystem Services (CES) in landscapes with a tourist vocation: Mapping and modeling the physical landscape components that bring benefits to people in a mountain tourist destination in southeastern Brazil, Tourism Manage., 77, 104017,, 2020. 
Bell, P. A., Fisher, J. D., and Loomis, R. J.: Environmental Psychology, W.B. Saunders Company, Philadelphia, Pennsylvania, United States, ISBN 9780721617060, 1978.  
Berg, L. D.: Banal Naming, Neoliberalism, and Landscapes of Dispossession, ACME: An International Journal for Critical Geographies, 10, 13–22, 2011. 
Campagna, M., De Montis, A., Isola, F., Lai, S., Pira, C., and Zoppi, C. (Eds.): Planning Support Tools: Policy analysis, implementation and evaluation, in: Proceedings of the 7th Int. conf. on Informatics and Urban and Regional Planning INPUT 2012, 111–121,, 2012. 
Short summary
This study uses geographic information systems (GIS) to determine which landforms are most visible to motorists from the highways of the northwestern US. Using an elevation dataset, a computer determined the area visible from sample points taken at 1 km intervals along the highway network. Highly visible mountains, ridges, and valleys were identified and mapped. These methods can be used to identify scenic byways, inform infrastructure development, and improve maps and navigation apps.