Assessment of landscape aesthetics—Validation of a landscape metrics-based assessment by visual estimation of the scenic beauty

Frank, Susanne; Fürst, Christine; Koschke, Lars; Witt, Anke; Makeschin, Franz

doi:10.1016/j.ecolind.2013.03.026

Cited by 221 publications

(156 citation statements)

References 47 publications

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“…Nonetheless the correlation between the two landscape metrics and the difference between the composition and configuration model for landscape aesthetics capacity is high, irrespective of the dominant land cover type. Our findings are in line with previous research finding opportunities to assess landscape aesthetics using SHDI and patch density for landscapes in Germany (Frank et al 2013). ''Land cover richness'' and ''patch density'' within the direct surroundings of a cell are therefore likely to be appropriate proxies for the change in modelled landscape aesthetic capacity at the cell level due to configuration.…”

Section: Consequences For Mapping Es Capacitysupporting

confidence: 80%

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

et al. 2016

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Context Humans structure landscapes for the production of food, fibre and fuel, commonly resulting in declines of non-provisioning ecosystem services (ESs). Heterogeneous landscapes are capable of providing multiple ESs, and landscape configuration-spatial arrangement of land cover in the landscape-is expected to affect ES capacity. However, the majority of ES mapping studies have not accounted for landscape configuration. Objectives Our objective is to assess and quantify the relevance of configuration for mapping ES capacity. A review of empirical evidence for configuration effects on the capacity of ten ESs reveals that for four ESs configuration is relevant but typically ignored in ES quantification. For four ESs we quantify the relevance of configuration for mapping ESs using Scotland as a case study. Methods Each ES was quantified through modelling, respectively ignoring or accounting for configuration. The difference in ES capacity between the two ES models was determined at multiple spatial scales. Results Configuration affected the capacity of all four ESs mapped, particularly at the cell and watershed scale. At the scale of Scotland most local effects averaged out. Flood control and sediment retention responded strongest to configuration. ESs were affected by different aspects of configuration, thus requiring specific methods for mapping each ES. Conclusions Accounting for configuration is important for the assessment of certain ESs at the cell and watershed scale. Incorporating configuration in landscape management provides opportunities for spatial optimization of ES capacity, but the diverging response of ESs to configuration suggests that accounting for configuration involves trade-offs between ESs.

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Section: Consequences For Mapping Es Capacitysupporting

confidence: 80%

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

et al. 2016

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“…et al 2008;Túri, Z. 2011;Malavasi, M. et al 2013, Ye, Y. et al 2015, but landscape metrics were applied in studies of landscape aesthetic (Frank, S. et al 2013), urban fragmentation (Hai, P.M. and Yamaguchi, Y. 2007;Fan, C. and Myint, S. 2014), landscape planning (Csorba, P. 2008;Szabó, Sz.…”

Section: Introductionmentioning

confidence: 99%

Landscape metrics applied in geomorphology: hierarchy and morphometric classes of sand dunes in Inner Somogy, Hungary

Györgyövics

Kiss

2016

HunGeoBull

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Landscape metric is mostly used to quantify landscape patches. However, these patches could also be geomorphological forms, thus using traditional landscape metrics their shape and spatial distribution, or their dynamics could be analysed. The aim of the paper is to study the geomorphological applicability of diff erent indices studying the aeolian forms of Inner Somogy (SW Hungary). In the present research 15 landscape metric indices were calculated with Patch Analyst 5.1 and vLATE 2.0. The negative aeolian forms (blowout depressions and holes) have high number but small size, whilst the positive forms (parabolic dunes and hummocks) have large number and complex spatial structure, thus the negative and positive forms can not be directly connected. The spatial distribution revealed by the applied indices refers to diff erences in moisture content, abundance of sand supply and relief on a regional scale. The negative forms appear in a considerable distance from each other, while the positive forms tend to cluster. Based on the spatial distribution of the forms the matrix could be described as an erosion-transportation zone, and in three accumulation zones the dune size and superimposition increases downwind.

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“…The density of photos is also influenced by the accessibility and distance from touristic paths. The highest density (142 photos/km 2 ) of photos is found in Skalnaté pleso, a picturesque mountain lake close to favorite ski, tourist and health resort in High Tatras. of photos is found in a camp near to a small village Čer-vený Kláštor in Pieniny National Park .…”

Section: Density Of Panoramio Photos In Slovakiamentioning

confidence: 99%

“…In the second case, the objective approach is based on expert analysis of the landscape. The landscape aesthetic value can be evaluated by measuring and scoring objective factors as diversity of landscape structures, vertical and horizontal articulation [14], contrast, colourfulness [7], or with use of landscape metrics [2]. Standardized approaches for the assessment and monitoring of landscape aesthetics are still missing.…”

Section: Introductionmentioning

confidence: 99%

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Appreciation of landscape aesthetic values in Slovakia assessed by social media photographs

et al. 2017

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Geolocated photos from google Panoramio are used as a proxy for evaluation of aesthetic values appreciation of different landscape types in Slovakia. We collected the photo's metadata from years 2005 -2014 and calculated the density of photos uploaded by unique user per square kilometre. Then we compared the photos density in different landscape types. The most appreciated are subalpine and alpine landscape types. The high photo density was also found in urban landscapes where most of the population live. Outside the urban area, we found that less intensive type of landscapes are visually more attractive. From the abiotic landscape categories the most aesthetically valuable are landscapes in giant highlands and glacial giant highlands. The lowland landscape used intensively for agricultural production is less attractive.

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Assessment of landscape aesthetics—Validation of a landscape metrics-based assessment by visual estimation of the scenic beauty

Cited by 221 publications

References 47 publications

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

Landscape metrics applied in geomorphology: hierarchy and morphometric classes of sand dunes in Inner Somogy, Hungary

Appreciation of landscape aesthetic values in Slovakia assessed by social media photographs

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