• Title/Summary/Keyword: 드론맵핑

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Accuracy Assessment of Environmental Damage Range Calculation Using Drone Sensing Data and Vegetation Index (드론센싱자료와 식생지수를 활용한 환경피해범위 산출 정확도 평가)

  • Eontaek Lim ;Yonghan Jung ;Seongsam Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.837-847
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    • 2023
  • In this study, we explored a method for assessing the extent of damage caused by chemical substances at an accident site through the use of a vegetation index. Data collection involved the deployment of two different drone types, and the damaged area was determined using photogrammetry technology from the 3D point cloud data. To create a vegetation index image, we utilized spectral band data from a multi-spectral sensor to generate an orthoimage. Subsequently, we conducted statistical analyses of the accident site with respect to the damaged area using a predefined threshold value. The Kappa values for the vegetation index, based on the near-infrared band and the green band, were found to be 0.79 and 0.76, respectively. These results suggest that the vegetation index-based approach for analyzing damage areas can be effectively applied in investigations of chemical accidents.

NDVI Based on UAVs Mapping to Calculate the Damaged Areas of Chemical Accidents (화학물질사고 피해영역 산출을 위한 드론맵핑 기반의 정규식생지수 활용방안 연구)

  • Lim, Eontaek;Jung, Yonghan;Kim, Seongsam
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1837-1846
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    • 2022
  • The annual increase in chemical accidents is causing damage to life and the environment due to the spread and residual of substances. Environmental damage investigation is more difficult to determine the geographical scope and timing than human damage investigation. Considering the reality that there is a lack of professional investigation personnel, it is urgent to develop an efficient quantitative evaluation method. In order to improve this situation, this paper conducted a chemical accidents investigation using unmanned aerial vehicles(UAV) equipped with various sensors. The damaged area was calculated by Ortho-image and strength of agreement was calculated using the normalized difference vegetation index image. As a result, the Cohen's Kappa coefficient was 0.649 (threshold 0.7). However, there is a limitation in that analysis has been performed based on the pixel of the normalized difference vegetation index. Therefore, there is a need for a chemical accident investigation plan that overcomes the limitations.