Using remotely sensed data in landscape visual quality assessment

Crawford, D. V.

doi:10.1016/0169-2046(94)90068-x

Cited by 31 publications

(23 citation statements)

References 8 publications

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“…According to landscape studies undertaken by Crawford (1994), Williamson and Calder (1979);Mitchel (1991);and Arriaza et al (2004), the scenic quality of regional and rural areas increases as:…”

Section: Discussionmentioning

confidence: 99%

Using GIS in Landscape Visual Quality Assessment

Wu¹,

Bishop²,

Hossain³

et al. 2006

Applied GIS

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Landscape Visual Quality (LVQ) 'assessment has become a core component of landscape architecture, landscape planning and spatial planning. Different approaches for assessing the scenic qualities of landscapes have been developed in the last few decades. Two contrasting paradigms, expert/design approach and community perception-based approach, have dominated methodology development. In the expertdesign approach the landscape visual quality is defined by biological and physical (or biophysical) values, while the perception-based approach emphasises the human view (subjective) of the landscape. This paper outlines a methodology combining expert and perception approaches to assess the LVQ.The application of information technology to landscape analysis dates back to the early work in computerbased mapping. Much of the early work on what became Geographic Information Systems (GIS) and threedimensional landscape modelling was carried out by landscape architects and landscape planners. In the past years, significant advances in computers and GIS have enabled analysis of vast amounts of spatial information, which is the foundation of the methodology described in this paper. The methodology is explained in detail through its application to assess the LVQ of the Mornington Peninsula Shire, Melbourne, in the State of Victoria, AUSTRALIA.There are six stages in the procedure: viewpoints selection; calculation of factor indices based on Visual Exposure Modelling; landscape preference rating; use of statistical methods (such as multiple regression model) to determine the key predictors of LVQ; application of the formula thus generated to assess the LVQ of viewpoints; and use of spatial interpolation to map LVQ across the study area.The results are discussed in the last section of this paper with reference to key methodological issues. Results show that the perceived LVQ increases with the area of water visible, the degree of wilderness and percentage of natural vegetation, and the presence of hills. On the other hand, it decreases with the presence of perceived negative human-made elements such as roads and buildings.

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Section: Discussionmentioning

confidence: 99%

Using GIS in Landscape Visual Quality Assessment

Wu¹,

Bishop²,

Hossain³

et al. 2006

Applied GIS

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show abstract

“…This raises the questions about whether existing visual assessment procedures have the capacity to capture the relevant visual (aesthetic) qualities of landscapes that may be the outcome of natural processes, conservation initiatives or management strategies (Crawford, 1994;Moss and Nickling, 1989; Thorne and Huang, 1991;Smardon and Fabos, 1983). …”

Section: Introductionmentioning

confidence: 99%

Remote sensing and GIS in modeling visual landscape change: a case study of the northwestern arid coast of Egypt

Ayad

2005

Landscape and Urban Planning

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“…Lu (2011) reviews many of these approaches by investigators applying geographical software systems (GIS), remote sensing tools, digital visualization tools across numerous landscape types from urban settings to rural settings such as Crawford (1994). In addition to Lu's cited sources concerning the mapping of visual quality, Fuente de Val et al, (2006) demonstrated that the heterogeneity of the environment might be an important spatial character in determining visual aesthetic quality for Mediterranean landscapes.…”

Section: Mapping Visual/environmental Qualitymentioning

confidence: 99%