Spatial modelling of landscape aesthetic potential in urban-rural fringes

Sahraoui, Yohan; Clauzel, Céline; Foltête, Jean-Christophe

doi:10.1016/j.jenvman.2016.06.031

Cited by 55 publications

(50 citation statements)

References 93 publications

(119 reference statements)

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“…Vegetation. During summer, in continuous, large-scale, plantation landscapes with uniform texture and color, the larger the patch area is, the higher the number of adjacent patches of the same type is, the higher the uniformity [31,32] or openness [31,33], and the higher the landscape attractiveness and visual sensitivity. In autumn, the canopies of different tree species exhibit different colors, and color diversity has become an important criterion for landscape attractiveness [34,35].…”

Section: Landscape Attractivenessmentioning

confidence: 99%

“…Specific topographic features (e.g., slope and aspect) also affect the extent attracting a viewer's attention. Due to height differences and slope steepness, ridges are more attractive [45]; some ridges include the skyline, which is positively correlated with landscape attractiveness [33]. In the Northern Hemisphere, north-facing aspects are backlit and vistas are dark with lower color contrast; such inconspicuous lines and textures have lower visual sensitivity than south-facing aspects.…”

Section: Landscape Attractivenessmentioning

confidence: 99%

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GIS-Based Multi-Criteria Assessment and Seasonal Impact on Plantation Forest Landscape Visual Sensitivity

Yang

Zhang

et al. 2019

Forests

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Visual sensitivity assessments identify the location of the high-sensitivity areas in terms of visual change. Studying the visual sensitivity of plantation forest landscapes and their seasonal changes can help resolve increasingly frequent conflicts between tourism and forest management activities, in the context of the multi-functional management of plantation forests. In this study, we used the geographic information system (GIS) and multi-criteria evaluation (MCE) methods combined with the analytic hierarchy process (AHP) to perform a visual sensitivity evaluation. Nine map-based criteria were selected, and the visual sensitivity of summer and autumn values were calculated, using data from sources including inventory data for forest management planning and design, digital elevation model (DEM), and aerial photographs. Vegetation uniformity (VU) and color diversity (CD) indices were constructed using three patch-level-based landscape indices, including area (AREA), fractal dimension index (FRAC), and proximity (PROX), to visualize the summer and autumn vegetation characteristics of a plantation forest landscape. We conducted a case study on the Saihanba Mechanical Forest Plantation, China’s largest forest plantation. The results were evaluated by experts, confirming the method to be reliable. This study provides an accurate, objective, and visualized evaluation method for the visual sensitivity of plantations for forest management units at the landscape scale. In analyzing the visual sensitivity of plantation forest landscapes, appropriate criteria, e.g., uniformity or diversity should be selected based on forest vegetation characteristics. When identifying high-sensitivity regions, it is necessary to simultaneously analyze areas with high visual sensitivity in different seasons and then superimpose the results.

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Section: Landscape Attractivenessmentioning

confidence: 99%

Section: Landscape Attractivenessmentioning

confidence: 99%

GIS-Based Multi-Criteria Assessment and Seasonal Impact on Plantation Forest Landscape Visual Sensitivity

Yang

Zhang

et al. 2019

Forests

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“…Some studies related to urban aesthetics have focused on the aesthetics of the urban landscape. Sahraoui et al (2016) examined aesthetic judgements of landscapes using a set of landscape visibility metrics as spatial data in their survey research. In another study (Chen et al, 2009), the aesthetic quality of an urban green space was evaluated using quantitative holistic evaluation techniques.…”

Section: Aesthetic Assessment Of Built Environmentsmentioning

confidence: 99%

Urban design factors involved in the aesthetic assessment of newly built environments and their incorporation into legislation: The case of Istanbul

Rezafar¹,

Türk²

2018

Urbani izziv

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Urban design factors involved in the aesthetic assessment of newly built environments and their incorporation into legislation: The case of Istanbul Newly built environments in cities whose features have changed due to neoliberal policies and priorities have often been criticized for their lack of aesthetic qualities. This criticism has made the aesthetic assessment of such environments more important, raising two crucial questions: how such an assessment can be performed, and how it can be incorporated into legislation. This article focuses on both questions in the case of Istanbul by determining and ranking formal aesthetic factors using factor and ANOVA analyses of the results of a survey conducted with three different sampling groups (scholars, designers, and officials) in Istanbul in 2017. The results of the analyses show that scholars' views in evaluating urban formal aesthetics are different from those of officials and designers. In addition, the analyses reveal that "character and identity", "green design", and "incompatibility between identity and design" are three important factors affecting urban formal aesthetics in newly built environments. These results are then followed by a discussion on how these factors can be incorporated into legislation in the case of Istanbul.

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“…Moreover, very few software applications are currently able to compute composition and configuration metrics using a tangential approach, although this combination seems useful in providing outcomes complementary to the planimetric approach, being derived from the computer‐generated image of the view. Indeed, it is likely to better correspond to the view of a potential observer (Nutsford et al, ; Sahraoui, Clauzel et al, ) because the planimetric approach may overestimate the visual weight of landscape elements with short vertical amplitudes (e.g., crops in a plain) and conversely underestimate the impact of elements with large vertical amplitudes (e.g., a forest on a hill, see Figure ).…”

Section: Introductionmentioning

confidence: 99%

“…Another issue about visibility analysis is how to characterize the visual content in the form of metrics. This content can be used, for example, to assess landscape quality (Martín, Ortega, Otero, & Arce, 2016) and to evaluate individuals' landscape preferences by crossing visibility analyses with empirical data expressing stated preferences (e.g., Dramstad, Tveit, Fjellstad, & Fry, 2006;Sahraoui, Clauzel, & Foltête, 2016;Sahraoui, Youssoufi, et al, 2016) or revealed preferences (Cavailhès et al, 2009;Joly et al, 2009;Tenerelli, Püffel, & Luque, 2017). To generate visibility metrics, current applications involve a sequence of processes and often involve combining GIS software to define viewsheds with specific software to compute landscape metrics, as for example, in Tenerelli et al (2017) with Fragstats.…”

Section: Introductionmentioning

confidence: 99%

Integrated GIS software for computing landscape visibility metrics

Sahraoui

Vuidel

Joly

et al. 2018

Transactions in GIS

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As an important component of the quality of the living environment, landscape is increasingly addressed in terms of its visual dimension. In contrast to the point‐like character of in situ observations and photographic analyses, the modeling of landscape visibility from digital data has the advantage of scanning geographical space in a systematic way. However, the tools currently available for visibility modeling are limited to the mapping of viewsheds. They require complementary operations for a complete landscape assessment, including direct and easy computation of landscape metrics. Furthermore, none of those tools integrates recent technical advances to better characterize the visible landscape by tangential vision (i.e., from ground level as opposed to vision by viewshed from above). Starting from this, PixScape software proposes to integrate a large set of functions for modeling landscape visibility while remaining interfaced with GIS software. This software can be used to perform a complete landscape assessment by computing a wide range of original landscape metrics. It performs tangential analysis in addition to viewshed analysis, which can produce more realistic outcomes. Because landscape visibility analysis over large areas implies significant computation time, the software also integrates a multi‐resolution process intended to speed up calculations while also taking into account the cognitive abilities of human vision.

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Spatial modelling of landscape aesthetic potential in urban-rural fringes

Cited by 55 publications

References 93 publications

GIS-Based Multi-Criteria Assessment and Seasonal Impact on Plantation Forest Landscape Visual Sensitivity

GIS-Based Multi-Criteria Assessment and Seasonal Impact on Plantation Forest Landscape Visual Sensitivity

Urban design factors involved in the aesthetic assessment of newly built environments and their incorporation into legislation: The case of Istanbul

Integrated GIS software for computing landscape visibility metrics

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