Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51
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pISSN : 1225-7184
- https://journal.kci.go.kr/kseia
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Comparison of Accuracy between Analysis Tree Detection in UAV Aerial Image Analysis and Quadrat Method for Estimating the Number of Trees to be Removed in the Environmental Impact Assessment
- Journal of Environmental Impact Assessment
- Abbr : J EIA
- 2021, 30(3), pp.155~163
- Publisher : Korean Society Of Environmental Impact Assessment
- Research Area : Engineering > Environmental Engineering
- Received : March 3, 2021
- Accepted : May 18, 2021
- Published : June 29, 2021
1현대이엔씨
Accredited
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.
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