Estimating visual properties of Rocky Mountain landscapes using GIS

Germino, Matthew J.; Reiners, William A.; Blasko, Benedict J.; McLeod, Donald M.; Bastian, Christopher T.

doi:10.1016/s0169-2046(00)00141-9

Cited by 112 publications

(73 citation statements)

References 22 publications

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“…Furthermore, distance, in terms of openness or extent of view, has also been mentioned as a major aspect of scenic beauty in several studies [21,25,28,29]. However, visual scale concepts, such as landscape rooms, visibility, openness, enclosure, spaciousness [20] have mostly been tested in flat areas or landscapes with small topographical variation [30]. In alpine landscapes, places with higher elevation have longer vistas in respect to flat landscapes, but mountains can also limit the view [30,31].…”

Section: Introductionmentioning

confidence: 99%

Can We Model the Scenic Beauty of an Alpine Landscape?

et al. 2013

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During the last decade, agriculture has lost its importance in many European mountain regions and tourism, which benefits from attractive landscapes, has become a major source of income. Changes in landscape patterns and elements might affect scenic beauty and therefore the socio-economic welfare of a region. Our study aimed at modeling scenic beauty by quantifying the influence of landscape elements and patterns in relationship to distance. Focusing on Alpine landscapes in South and North Tyrol, we used a photographic questionnaire showing different landscape compositions. As mountain landscapes offer long vistas, we related scenic beauty to different distance zones. Our results indicate that the near zone contributes by 64% to the valuation of scenic beauty, the middle zone by 22%, and the far zone by 14%. In contrast to artificial elements, naturalness and diversity increased scenic beauty. Significant differences between different social groups (origin, age, gender, cultural background) occurred only between the local population and tourists regarding great landscape changes. Changes towards more homogenous landscapes were perceived negatively, thus political decision makers should support the conservation of the cultural landscape.

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Section: Introductionmentioning

confidence: 99%

Can We Model the Scenic Beauty of an Alpine Landscape?

et al. 2013

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“…Los autores que han buscado relaciones entre lo que se puede considerar percepción del misterio y atributos objetivos del paisaje la relacionaron con el relieve y con la no presencia humana. Puesto que la presencia humana ya se contempló en la variable anterior, se optó por relacionar la percepción de misterio con el relieve, utilizando la desviación estándar de las elevaciones dentro de la cuenca visual, ya que los elementos ocultos por las diferencias de elevación aumentan la percepción de misterio de los observadores (Germino, Reiners, Blasko, McLeod, & Bastian, 2001;Gimblett, Itami, & Fitzgibbon, 1985). Debido a que el estudio está localizado en paisajes llanos, también se consideraron las alturas de las cubiertas naturales del suelo (no se consideraron las antrópicas al ser opuestas a la percepción de misterio).…”

Section: Evaluando El Paisaje Visualunclassified

“…Se otorgó un punto a cada escucha donde dominaban los sonidos naturales, cero puntos si dominaban los sonidos antrópicos y medio punto donde no había un grupo de sonidos dominante. Esta puntuación se definió en base a los resultados de trabajos previos donde los sonidos naturales resultaron ser apreciados por los visitantes mientras los antrópicos resultaron ser sonidos no deseados (Hetherington et al, 1993;Iglesias Merchan et al, 2014;Kim & Shelby, 2011;Łowicki & Piotrowska, 2015;Miller, 2001 ( Burmil et al, 1999;Germino et al, 2001;Herzog, 1985;Kaltenborn & Bjerke, 2002) Presencia de agua agu Probabilidad de ver una lámina de agua desde un punto de observación Mapa de cubiertas del suelo.…”

Section: Evaluando El Paisaje Sonorounclassified

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2017

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The sea-breeze (SB) is an important source of summertime precipitation in North Carolina (NC, southeast United States). However, not all SB events produce precipitation. A climatology of wet and dry SB events in NC is used to investigate the conditions that are conducive to precipitation associated with the sea breeze.Radar imagery was used to detect 88 SB events that occurred along the NC coast between MaySeptember of 2009-2012. The majority (85%) of SB events occurred during offshore flow (53%) or during flow that was parallel to the coast (22%). SB events were separated into dry (53%) and wet (47%) events and differences in the dynamic and thermodynamic parameters of the environment in which they formed were analyzed. Significant differences in dynamic and thermodynamic conditions were found. SB dry events occurred under stronger winds (6.00 ± 2.36 ms -1 ) than SB wet events (4.02 ± 2.16 ms -1 ). Moreover, during SB wet events larger values of convective available potential energy and lower values of convective inhibition were present, conditions that favor precipitation. Overall, the SB wet events accounted for 20-30% of the May-September precipitation along the NC coastal region. The position of the North Atlantic Subtropical High (NASH) controls both moisture availability and winds along the NC coast, thus providing a synoptic-scale control mechanism for SB precipitation. In particular, it was shown that when the NASH western ridge is located along the southeast coast of the United States, it causes a moist southwesterly flow along the NC coast that may favor the occurrence of SB wet events.Keywords: Sea breeze; precipitation; North Carolina; North Atlantic Subtropical High; wind direction; wind speed. N.T., Nieto Ferreira, R. Rickenbach, T.M., Nissenbaum, M.R. and McAuliffe J.D. Investigaciones Geográficas, nº 68, pp. 09 -25. ResumenLa brisa marina (BM) es una importante fuente de precipitación de verano en Carolina del Norte (NC en su sigla en inglés), sudeste de Estados Unidos. Sin embargo, no todos los eventos de BM producen precipitación. En este trabajo se utiliza una climatología de eventos de BM lluviosos y secos en NC para investigar las condiciones que conducen a la precipitación.Se utilizaron imágenes de radar para detectar 88 eventos de BM ocurridos a lo largo de la costa NC entre mayo y septiembre de 2009 a 2012. La mayoría (85%) de los eventos de BM ocurrieron durante períodos de viento hacia el mar (53%) o viento paralelo a la costa (22%). Los eventos BM se separaron en eventos secos (53%) y lluviosos (47%) y se analizaron las diferencias en los parámetros dinámicos y termodinámicos del entorno en el que se formaron. Se encontraron diferencias significativas en las condiciones dinámicas y termodinámicas. Eventos de BM secos ocurrieron bajo vientos más fuertes (6,00 ± 2,36 ms-1) que los eventos de BM lluviosos (4,02 ± 2,16 ms-1). Las BM lluviosas ocurrieron bajo valores de energía potencial convectiva disponible más altos y valores del parámetro de inhibición convectiva más bajos,...

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“…Several researchers have already studied the impact of environmental characteristics, be they positive like view on mountains or negative such as noise, on residential land prices (e.g., Germino et al, 2001;Reginster, Goffette-Nagot, 2005;Dekkers, van der Straaten, 2009). …”

Section: B Environmental Amenitiesmentioning

confidence: 99%