A route-based visibility analysis for landscape management

Chamberlain, Brent C.; Meitner, Michael J.

doi:10.1016/j.landurbplan.2012.12.004

Cited by 94 publications

(56 citation statements)

References 35 publications

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“…In recent research, Garré et al (2009) calculated three morphological metrics of the visible landscape from random viewpoints using GIS, and compared the results from the on-road viewpoints with those offroad, to investigate the visual access to the landscape offered by roads. Chamberlain & Meitner (2013) analysed route-based visual magnitude of DTM cells for views from a tourist highway, to demonstrate a more advanced GIS application for planning. However, no attempt seems to have been made to predict human-perceived visual impact of road projects in GIS.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of the visual impact of motorways using GIS

Jiang

Kang

Schroth

2015

Environmental Impact Assessment Review

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Large scale transportation projects can adversely affect the visual perception of environmental quality and require adequate visual impact assessment. In this study, we investigated the effects of the characteristics of the road project and the character of the existing landscape on the perceived visual impact of motorways, and developed a GIS-based prediction model based on the findings. An online survey using computer-visualised scenes of different motorway and landscape scenarios were carried out to obtain perception-based judgements on the visual impact. Motorway scenarios simulated included the baseline scenario without road, original motorway, motorways with timber noise barriers, transparent noise barriers and tree screen; different landscape scenarios were created by changing land cover of buildings and trees in three distance zones. The landscape content of each scene was measured in GIS. The result shows that presence of a motorway especially with the timber barrier significantly decreases the visual quality of the view. The resulted visual impact tends to be lower where it is less visually pleasant with more buildings in the view, and can be slightly reduced by the visual absorption effect of the scattered trees between the motorway and the viewpoint. Based on the survey result, eleven predictors were identified for the visual impact prediction model which was applied in GIS to generate maps of visual impact of motorways in different scenarios. The proposed prediction model can be used to achieve efficient and reliable assessment of visual impact of motorways.

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Section: Introductionmentioning

confidence: 99%

“…Distribution of the 120 images over the 100 questionnaires. questionnaire 4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 …”

mentioning

confidence: 99%

Prediction of the visual impact of motorways using GIS

Jiang

Kang

Schroth

2015

Environmental Impact Assessment Review

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“…The visual magnitude result is a floating point whose values are from 0 (no visibility) to 1 (complete visibility) and is computed taking into account the fact that the visible area decreases with the square of the distance. Different formulations for the calculation of the visual magnitude can be found on the literature (Grêt-Regamey et al, 2007;Chamberlain & Meitner, 2013). 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.…”

Section: Methodsmentioning

confidence: 99%

“…Visual magnitude and visual exposure concepts have been widely used in the rural and forest landscape analysis (Kearney et al, 2008;Domingo-Santos et al, 2011;Jakab & Petluš, 2012;Chamberlain & Meitner, 2013).…”

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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“…To do this, VM assesses the topographical terrain data from the viewer's perspective by calculating distance, slope and direction of the view and topography (Chamberlain and Meitner 2013). VM is calculated based on a digital elevation model (DEM), so the resolution of the analysis is dependent upon the resolution of the DEM.…”

Section: Introductionmentioning

confidence: 99%

Applications of visual magnitude in forest planning: A case study

Chamberlain

Meitner²,

Ballinger³

2015

The Forestry Chronicle

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Recent impacts from the Mountain Pine Beetle epidemic, the lack of available timber in areas of lower elevation, and the reduction in back-country timber has pushed forest operations into publicly significant and visible landscapes. When these become the stage for operations they can be a source of public backlash. These kinds of landscapes are carefully protected by governments, yet, this protection may reduce timber availability. We have developed a new GIS-based tool to aid planners in designing harvests in these areas. Our tool is applied to three case studies in British Columbia to showcase how it can reduce planning time, increase timber availability and limit the negative visible effects of operations.Keywords: Visual Magnitude, Viewshed, Visual Resource Management, Planning, GIS, Visibility, Visually Sensitive Areas RÉSUMÉ Les conséquences récentes de l' épidémie de dendroctone du pin ponderosa, la pénurie de bois disponible dans les régions de faibles altitudes et la réduction de la disponibilité des bois de l'arrière-pays ont fait en sorte que les opérations d' exploitation forestière se font maintenant dans des paysages beaucoup plus visibles aux yeux du public. Lorsque ceux-ci sont deviennent la scène des opérations, ils peuvent devenir une source de mécontentement public. Ce type de paysage est soigneusement protégé par les gouvernements, mais cette protection peut entraîner une réduction de la disponibilité en matière ligneuse. Nous avons élaboré un nouvel outil établi à partir d'un système d'information géographique (SIG) dans le but d'aider les planificateurs à concevoir les blocs d' exploitation sur ces superficies. Notre outil est utilisé dans le cas de trois études réalisées en Colombie-Britannique afin de démontrer comment il permet de réduire la durée de la planification, d'accroître la disponibilité de la matière ligneuse et de limiter les impacts visuels négatifs des opérations.

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A route-based visibility analysis for landscape management

Cited by 94 publications

References 35 publications

Prediction of the visual impact of motorways using GIS

Prediction of the visual impact of motorways using GIS

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

Applications of visual magnitude in forest planning: A case study

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