Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Estimation of the Available Green Roof Area using Geo-Spatial Data

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  • Ahn, Ji-Yeon (College of Global Integrated Studies, Konkuk University) ;
  • Jung, Tae-Woong (R&D Innovation Center, National Disaster Management Research Institute) ;
  • Koo, Jee-hee (College of Global Integrated Studies, Konkuk University)
  • 안지연 (건국대학교 글로벌융합대학 융합인재학부) ;
  • 정태웅 (국립재난안전연구원 R&D 기획.평가센터) ;
  • 구지희 (건국대학교 글로벌융합대학 융합인재학부)
  • Received : 2016.08.25
  • Accepted : 2016.09.27
  • Published : 2016.10.31
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Abstract

The purposes of this research are to estimate area of greenable roof and to monitor maintaining of green roofs using World-View 2 images. The contents of this research are development of World-View 2 application technologies for estimation of green roof area and development of monitoring and maintaining of green roofs using World-View 2 images. The available green roof areas in Gwangjin-gu Seoul, a case for this study, were estimated using digital maps and World-View 2 images. The available green roof area is approximately 12.17% ($2,153,700m^2$) of the total area, and the roof vegetation accounts for 0.46% ($80,660m^2$) of the total area. For verification of the extracted roof vegetation, Vworld 3D Desktop map service was applied. The study results may be used as a decision-making tool by the government and local governments in determining the feasibility of green roof projects. In addition, the project implementer may periodically monitor to see whether roof greening has maintained for efficient management of projects, and a vast amount of World-View 2 images may be regularly used before and after the projects to contribute to sharing of satellite images information.

Keywords

References

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  1. Establishment of a Geographic Information System-Based Algorithm to Analyze Suitable Locations for Green Roofs and Roadside Trees vol.11, pp.16, 2016, https://doi.org/10.3390/app11167368