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Updated: Mar 17, 2026

Photorealistic Learned Landscapes for Augmented Reality
Published on: June 27, 2025
Spatial modelling of landscape aesthetic potential in urban-rural fringes
Yohan Sahraoui1, Céline Clauzel2, Jean-Christophe Foltête3
1ThéMA, CNRS, University Bourgogne Franche-Comté, 32 rue Mégevand, 25030, Besançon Cedex, France; MSHE Ledoux, CNRS, University Bourgogne Franche-Comté, 32 rue Mégevand, 25030, Besançon Cedex, France.
Abstract:
The aesthetic potential of landscape has to be modelled to provide tools for land-use planning. This involves identifying landscape attributes and revealing individuals' landscape preferences. Landscape aesthetic judgments of individuals (n = 1420) were studied by means of a photo-based survey. A set of landscape visibility metrics was created to measure landscape composition and configuration in each photograph using spatial data. These metrics were used as explanatory variables in multiple linear regressions to explain aesthetic judgments. We demonstrate that landscape aesthetic judgments may be synthesized in three consensus groups. The statistical results obtained show that landscape visibility metrics have good explanatory power. Ultimately, we propose a spatial modelling of landscape aesthetic potential based on these results combined with systematic computation of visibility metrics.
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