The visual exposure in forest and rural landscapes: An algorithm and a GIS tool

Santos, Juan Manuel Domingo; Juan, Rubén Fernández de Villarán San; Rapp-Arrarás, Ígor; Provens, Eva Corral-Pazos de

doi:10.1016/j.landurbplan.2010.11.018

Cited by 84 publications

(48 citation statements)

References 16 publications

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“…However, this is not the case of the present study where the data availability was sufficient to determine the observation points. Other authors [52] advocate the use of a methodology based on building a triangle network from DEM in a regular square grid, which yields higher precision in a viewshed assessment than the traditional methods.…”

Section: Discussionmentioning

confidence: 99%

How Attractive Is Upland Olive Groves Landscape? Application of the Analytic Hierarchy Process and GIS in Southern Spain

Nekhay

Arriaza

2016

Sustainability

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Abstract:The upland olive groves of Andalusia (Southern Spain) are an example of fragile landscape from an ecological point of view. The wildfire and soil erosion risks that can result in the desertification of the area are the main components of fragility. This paper focuses on the visual quality assessment of this agricultural system as a mean to their economic and environmental sustainability. The case study is represented by the upland olive groves of the municipality of Montoro where rural tourism is an important economic activity. We carried out a personal interview survey on 480 citizens to determine their visual preferences regarding three representative types of olive plantation landscape to be transferred to landscape level through a Geographical Information Systems (GIS). The Analytic Hierarchy Process (AHP) multicriteria decision-making technique was the method used to derive preferences from the survey. The results suggest that olive farming systems with grass vegetation cover between the trees are the preferred landscape type (0.42), followed very closely by the non-productive olive groves (0.41). The conventional olive farming system was the least preferred landscape (0.17). The visual quality map presents five categories, revealing that most of the olive groves in the study area belong to the very low visual quality category (93% of the total area).

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Section: Discussionmentioning

confidence: 99%

How Attractive Is Upland Olive Groves Landscape? Application of the Analytic Hierarchy Process and GIS in Southern Spain

Nekhay

Arriaza

2016

Sustainability

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“…Despite the development of a number of alternative approaches (Domingo-Santos et al, 2011;Higuchi & Terry, 1983;Travis et al, 1975), they remain the most common and standard visibility technique across most GIS systems (Turner et al, 2001 is that VVI measures of green space visibility are likely to be slightly under representative at close ranges while very distant visible cells are likely to be slightly over represented. We therefore recommend that the VVI methodology is best suited for assessing visibility in the middle ground (as described by Higuchi & Terry (1983)).…”

Section: Discussionmentioning

confidence: 99%

“…As a method for deriving areas of visibility from any given vantage point or area, viewshed analysis is an important tool used to describe the visible spatial structure of an environment. In the field of GIS, viewshed analysis has proven to be the most popular methodology for quantifying visibility (Turner et al, 2001), and its application is now common practice in a range of fields including archaeology (Wheatley & Gillings, 2000), urban planning (Danese et al, 2009), forestry (Domingo-Santos et al, 2011), impact assessment (Howes & Gatrell, 1993) and in the military (VanHorn & Mosurinjohn, 2010).…”

Section: Introductionmentioning

confidence: 99%

Personalising the viewshed: Visibility analysis from the human perspective

et al. 2015

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Viewshed analysis remains one of the most popular GIS tools for assessing visibility, despite the recognition of several limitations when quantifying visibility from a human perspective. The visual significance of terrain is heavily influenced by the vertical dimension (i.e. slope, aspect and elevation) and distance from the observer, neither of which are adjusted for in standard viewshed Highlights Standard viewshed analysis is a poor measure of visibility from a human perspective.  A novel method (VVI) was developed to represent visibility from a human perspective.  The VVI demonstrated predictive validity for known environment visibility (r = 0.863, p = 0.001).  The VVI is a valid novel methodology for improving viewshed analyses when visibility from a human perspective is the focus.

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“…As can be easily understood, in reality visual magnitude assumes very low values, because they have the physical meaning of the amount of area occupied on an observer view. Again, also in the case of the visual magnitude only geometrical aspects are considered, while other authors have introduced the concept of visual exposure (Domingo-Santos et al, 2011) in order to take into account also the atmospheric extinction, the colour difference to the background and the visual acuity.…”

Section: Methodsmentioning

confidence: 99%

The assessment of the visual perception in viewshed analysis for the landscape settings

Fabrizio¹,

Garnero²

2013

J Agricult Engineer

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Visibility studies for rural and forest landscape are well established and conducted by means of standard GIS tools that compute the viewshed (a binary representation of the visibility of a location from a certain viewpoint) and cumulative viewsheds (integer representations of the visibility of a location from more viewpoints obtained with raster algebra). However, in order to go beyond the sole geometric information if a cell is visible or not, some authors have introduced various concepts that are based on the visual magnitude or visual exposure. These concepts also take into account the target magnitude, the atmospheric extinction, the colour difference to the background and the visual acuity. These calculations may be complex, extremely time consuming and not affordable with standard GIS tools, because they require specific programming tools. Besides, depending on the application, the factor that affects the visibility may be the distance, the atmospheric extinction, the contrast, etc. In this work, we concentrate on the problem of the calculation of the landscape sensitivity, which defines the degree to which a given landscape is potentially affected by possible changes by means of viewsheds analyses. An example in rural settings is presented in order to demonstrate the problems that arise in real applications and the possible solutions.

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The visual exposure in forest and rural landscapes: An algorithm and a GIS tool

Cited by 84 publications

References 16 publications

How Attractive Is Upland Olive Groves Landscape? Application of the Analytic Hierarchy Process and GIS in Southern Spain

How Attractive Is Upland Olive Groves Landscape? Application of the Analytic Hierarchy Process and GIS in Southern Spain

Personalising the viewshed: Visibility analysis from the human perspective

The assessment of the visual perception in viewshed analysis for the landscape settings

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