2023
DOI: 10.3390/f14030542
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Scenic Beauty Evaluation of Forests with Autumn-Colored Leaves from Aerial and Ground Perspectives: A Case Study in Qixia Mountain in Nanjing, China

Abstract: In recent years, on-site visitation has been strictly restricted in many scenic areas due to the global spread of the COVID-19 pandemic. “Cloud tourism”, also called online travel, uses high-resolution photographs taken by unmanned aerial vehicles (UAVs) as the dominant data source and has attracted much attention. Due to the differences between ground and aerial observation perspectives, the landscape elements that affect the beauty of colored-leaved forests are quite different. In this paper, Qixia National … Show more

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Cited by 3 publications
(1 citation statement)
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“…Experts may be important in guiding public choices (France & Briggs, 2017), but they should not undermine tourists' opinions given that tourists are the main users of attractions. To incorporate public opinions, preference approaches were introduced (see Chaminuka et al, 2012; Jacobsen & Jens, 2007; Tveit et al, 2018; Williams et al, 2023; Yang et al, 2023). Unfortunately, the preference approach also largely depends on experts to identify and qualify attractions by relying on the use of visual stimuli (e.g., video clips, maps, voice notes and photographs) accompanied by questionnaires.…”
Section: Introductionmentioning
confidence: 99%
“…Experts may be important in guiding public choices (France & Briggs, 2017), but they should not undermine tourists' opinions given that tourists are the main users of attractions. To incorporate public opinions, preference approaches were introduced (see Chaminuka et al, 2012; Jacobsen & Jens, 2007; Tveit et al, 2018; Williams et al, 2023; Yang et al, 2023). Unfortunately, the preference approach also largely depends on experts to identify and qualify attractions by relying on the use of visual stimuli (e.g., video clips, maps, voice notes and photographs) accompanied by questionnaires.…”
Section: Introductionmentioning
confidence: 99%