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Identifying Valued Scenes and Settings in an Ordinary LandscapeAuthor(s): Brian Orland; Micah S. Taylor; Tara J. Mazurczyk; Lacey K. Goldberg; Meredith Welch-Devine; Timothy M. Murtha
Source: In: Gobster, Paul H.; Smardon, Richard C., eds. Visual resource stewardship conference proceedings: landscape and seascape management in a time of change. Gen. Tech. Rep. NRS-P-183. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 136-148.
Publication Series: Paper (invited, offered, keynote)
Station: Northern Research Station
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DescriptionThe Georgia Scenic Byways program is a "grassroots effort … to identify, preserve, promote, and protect treasured corridors throughout the state" (Georgia Department of Transportation 2013, p. 32). To date, the Georgia Department of Transportation has designated 15 Scenic Byways. This paper presents a model "valued landscape detector," a smartphone application that uses social media and augmented reality mechanisms to engage interested citizens in evaluating the scenic value of highways (or stretches of highways). Citizen data collectors, guided by GIS via their smartphones, are invited to provide in situ evaluations and upload photos and geolocation data for the Georgia Scenic Byways designation program. Another goal of the project is to identify currently undesignated stretches of highway that may be candidates for future State designation. Beyond the current application, the method may be useful for identifying a wide array of cultural and natural resources that might otherwise be overlooked.
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CitationOrland, Brian; Taylor, Micah S.; Mazurczyk, Tara J.; Goldberg, Lacey K.; Welch-Devine, Meredith; Murtha, Timothy M. 2018. Identifying Valued Scenes and Settings in an Ordinary Landscape. In: Gobster, Paul H.; Smardon, Richard C., eds. Visual resource stewardship conference proceedings: landscape and seascape management in a time of change. Gen. Tech. Rep. NRS-P-183. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 136-148.
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