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Comparison of Accuracy between Analysis Tree Detection in UAV Aerial Image Analysis and Quadrat Method for Estimating the Number of Treesto be Removed in the Environmental Impact Assessment

환경영향평가의 훼손수목량 추정을 위한 드론영상 분석법과 방형구법의 정확성 비교

  • Received : 2021.03.03
  • Accepted : 2021.05.18
  • Published : 2021.06.30

Abstract

The number of trees to be removed trees (ART) in the environmental impact assessment is an environmental indicator used in various parts such as greenhouse gas emissions and waste of forest trees calculation. Until now, the ART has depended on the forest tree density of the vegetation survey, and the uncertainty of estimating the amount of removed trees has increased due to the sampling bias. A full-scale survey can be offered as an alternative to improve the accuracy of ART, but the reality is that it is impossible. As an alternative, there is an individual tree detection using aerial image (ITD), and in this study, we compared the ARTs estimated by full-scale survey, sample survey, and ITD. According to the research results, compared to the result of full-scale survey, the result of ITD was overestimated by 25. While 58 were overestimated by the sample survey (average). However, as the sample survey is an estimate based on random samples, ART will be overestimated or underestimated depending on the number and size of quadrats.

환경영향평가의 훼손수목량은 온실가스 배출량, 임목폐기물 산정 등 다양한 부분에 활용되는 환경지표이다. 지금까지 훼손수목량은 식생조사표의 임목밀도에 의존하였고, 이에 따른 표본편향으로 훼손수목량 추정의 불확실성이 가중되었다. 훼손수목량 추정의 정확성을 높이려면 전수조사를 대안으로 제시할 수 있으나 불가능한 것이 현실이다. 대안으로 드론영상을 이용한 개별 수목 탐지 방법이 있으며, 이 연구는 개별 수목 탐지 방법론으로 표본조사(방형구법)와 드론영상 분석법으로 추정된 훼손수목량을 전수조사 결과와 비교하였다. 연구 결과 전수조사 기준으로 드론 영상 분석법은 25주 과대추정 하였고 방형구법(평균)은 58주 과대 추정하였다. 그러나 기존 환경영향평가에서 시행하는 방형구법은 방형구의 개수, 방형구의 위치에 따른 표본편향의 영향을 많이 받을 것으로 예상된다.

Keywords

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