skip to main content

Identifying Interesting Sceneries and Objects in A Tropic Forest Through Visitors Employed Photography

1Department of Landscape Architecture, Faculty of Agriculture, IPB University Indonesia, Indonesia

2Graduate School of Horticulture, Chiba University Japan, Japan

Received: 24 Feb 2023; Revised: 28 Aug 2023; Accepted: 12 Oct 2023; Available online: 21 Nov 2023; Published: 10 Dec 2023.
Editor(s): Budi Warsito

Citation Format:
Abstract

Tropical Forest is a unique forest landscape character composed of vegetation with various altitude strata combined with other biotic and abiotic landscape elements. The combination of landscape objects produces a landscape character that is visually attractive to visitors. There are few references to forest sceneries and objects of interest to forest visitors, even though this information is important for forest tourism. This study identified tropical forest sceneries and objects of interest to forest visitors through photographs taken by visitors. The method used is Visitors' Employed Photography (VEP) combined with GPS tracking and artificial intelligence Google Clouds Vision API. In this VEP method, we invited 41 respondents to walk in the "Situ Gede Forest " and directly photograph interesting objects in the field. We obtained 1,206 photos from respondents containing the scenery and objects of the "Situ Gede Forest" and the location of the photo-taking points. The photos were labeled via Google Cloud's Vision API and clustered based on the Photo's label into 15 photo clusters using R Statistics software. The grouping results identified three sceneries and objects that interested the respondents: "View to the standing of trees inside the forest, woodland, or jungle," "Forest scenery with recreational activities and zoo," and "Body of water, edge of the body of water, waterway, and trees." Information on the three characteristics of tropical forest landscapes is beneficial in tropical forest management activities, where landscapes with these three types must be conserved and preserved in the interest of sustainable tourism forest.

Fulltext View|Download
Keywords: sceneries; landscape; forest; VEP; GPS

Article Metrics:

  1. Bielinis, E., Bielinis, L., Krupińska-Szeluga, S., Łukowski, A., & Takayama, N. (2019). The effects of a short forest recreation program on physiological and psychological relaxation in young Polish adults. Forests, 10(1), 1–13. https://doi.org/10.3390/f10010034
  2. Dramstad, W. E., Tveit, M. S., Fjellstad, W. J., & Fry, G. L. A. (2006). Relationships between visual landscape preferences and map-based indicators of landscape structure. Landscape and Urban Planning, 78(4), 465–474. https://doi.org/10.1016/j.landurbplan.2005.12.006
  3. Eriksson, L., Nordlund, A. M., Olsson, O., & Westin, K. (2012). Recreation in different forest settings: A scene preference study. Forests, 3(4), 923–943. https://doi.org/10.3390/f3040923
  4. Gao, T., Liang, H., Chen, Y., & Qiu, L. (2019). Comparisons of landscape preferences through three different perceptual approaches. International Journal of Environmental Research and Public Health, 16(23), 1–13. https://doi.org/10.3390/ijerph16234754
  5. Jacobsen, J. K. (2007). Use of Landscape Perception Methods in Tourism Studies: A Review of Photo-Based Research Approaches. Tourism Geographies, 9(3), 234–253. https://doi.org/10.1080/14616680701422871
  6. Lee, K. Y., Seo, J. Il, Kim, K. N., Lee, Y., Kweon, H., & Kim, J. (2019). Application of viewshed and spatial aesthetic analyses to forest practices for Mountain scenery Improvement in the Republic of Korea. Sustainability (Switzerland), 11(9), 1–16. https://doi.org/10.3390/su11092687
  7. Liu, W. Y., Lin, Y. Y., Chen, H. S., & Hsieh, C. M. (2019). Assessing the amenity value of forest ecosystem services: Perspectives from the use of sustainable green spaces. Sustainability (Switzerland), 11(16). https://doi.org/10.3390/su11164500
  8. McKercher, B., Shoval, N., Ng, E., & Birenboim, A. (2012). First and Repeat Visitor Behaviour: GPS Tracking and GIS Analysis in Hong Kong. Tourism Geographies, 14(1), 147–161. https://doi.org/10.1080/14616688.2011.598542
  9. Meo, A. I. (2010). Picturing Students' Habitus: The Advantages and Limitations of Photo-Elicitation Interviewing in a Qualitative Study in the City of Buenos Aires. International Journal of Qualitative Methods, 9(2), 149–171. https://doi.org/10.1177/160940691000900203
  10. Nasar, J. L., & Li, M. (2004). Landscape mirror: The attractiveness of reflecting water. Landscape and Urban Planning, 66(4), 233–238. https://doi.org/10.1016/S0169-2046(03)00113-0
  11. Pettersson, R., & Zillinger, M. (2011). Time and Space in Event Behaviour : Tracking Visitors by GPS Time and Space in Event Behaviour : Tracking Visitors by GPS. Toursim Geographies, 13(November), 1–20. https://doi.org/10.1080/14616688.2010.529932
  12. Song, C., Ikei, H., Park, B. J., Lee, J., Kagawa, T., & Miyazaki, Y. (2018). Psychological benefits of walking through forest areas. International Journal of Environmental Research and Public Health, 15(12), 1–10. https://doi.org/10.3390/ijerph15122804
  13. Sugimoto, K. (2013). Quantitative measurement of visitors' reactions to the settings in urban parks: Spatial and temporal analysis of photographs. Landscape and Urban Planning, 110(1), 59–63. https://doi.org/10.1016/j.landurbplan.2012.10.004
  14. Wang, R., Zhao, J., & Meitner, M. J. (2017). Urban woodland understory characteristics in relation to aesthetic and recreational preference. Urban Forestry and Urban Greening, 24(July 2016), 55–61. https://doi.org/10.1016/j.ufug.2017.03.019
  15. Yang, J., Zhao, L., Mcbride, J., & Gong, P. (2009). Can you see green? Assessing the visibility of urban forests in cities. Landscape and Urban Planning, 91(2), 97–104. https://doi.org/10.1016/j.landurbplan.2008.12.004

Last update:

No citation recorded.

Last update: 2024-11-02 12:44:49

No citation recorded.