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Study on Application Plan of Forest Spatial Informaion Based on Unmanned Aerial Vehicle to Improve Environmental Impact Assessment

환경영향평가 개선을 위한 무인항공기 기반의 산림공간정보 활용 방안 연구

  • Sung, Hyun-Chan (Center For Environment GIS/RS, Korea University) ;
  • Zhu, Yong-Yan (Department of Environmental Science & Ecological Engineering, Korea University) ;
  • Jeon, Seong-Woo (Department of Environmental Science & Ecological Engineering, Korea University)
  • 성현찬 (고려대학교 환경GIS/RS 센터) ;
  • 주용언 (고려대학교 환경생태공학부) ;
  • 전성우 (고려대학교 환경생태공학부)
  • Received : 2019.10.16
  • Accepted : 2019.11.26
  • Published : 2019.12.31

Abstract

UAVs are unmanned, autonomous or remotely piloted aircraft. As UAVs become smaller, lighter and more economical, their applications continue to expand. Researches on UAVs in the field of remote sensing show development methods and purposes similar to those on satellite images, and they are widely used in studies such as 3D image composition and monitoring. In the field of environmental impact assessment(EIA), satellite information and data are mainly used. However, only low-resolution images covering long distances and large-scale data allowing for rough examination are being provided, so their uses are seriously limited. Therefore, in this paper, we construct spatial information of forest area by using unmanned aerial vehicle and seek efficient utilization and policy improvement in the field of environmental impact assessment. As a result, high-resolution images and data from UAVs can be used to identify the location status of SEIA, EIA, and small scale EIA project plans and to evaluate detailed environmental impact analysis. In addition, when provided together with infographics about Post-environmental impact investigation, it was confirmed that the possibility of periodic spatial information construction and evaluation can be used throughout the entire project contents and project post-process.In order to provide sophisticated infographics for the EIA, drone photography and GCP surveying methods were derived.The results of this study will be used as a basis for improving high-resolution monitoring and environmental impact assessment in the forest sector.

Keywords

References

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