Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Estimation of Individual Tree and Tree Height using Color Aerial Photograph and LiDAR Data

컬러항공사진과 LiDAR 데이터를 이용한 수목 개체 및 수고 추정

  • Chang, An-Jin (School of Civil, Urban & Geosystem Engineering, Seoul National University) ;
  • Kim, Yong-Il (School of Civil, Urban & Geosystem Engineering, Seoul National University) ;
  • Lee, Byung-Kil (TAS Tech Co., Ltd.) ;
  • Yu, Ki-Yun (School of Civil, Urban & Geosystem Engineering, Seoul National University)
  • 장안진 (서울대학교 공과대학 지구환경시스템공학부) ;
  • 김용일 (서울대학교 공과대학 지구환경시스템공학부) ;
  • 이병길 ((주)타스테크) ;
  • 유기윤 (서울대학교 공과대학 지구환경시스템공학부)
  • Published : 2006.12.30
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Abstract

Recently efforts to extract information about forests by using remote sensing techniques for efficient forest management have progressed actively. In terms of extraction of tree information using single remote sensing data, however, the accuracy of tree recognition and the quantity of extracted information is limited. The objective of this study is to carry out tree modeling in domestic environment applying the latest core technique for tree modeling using color aerial photographs and LiDAR data and to estimate the result of tree modeling. A small-scale coniferous forest was investigated in Daejeon. It was 0.77 that the $R^2$ of accuracy test of tree numbers that estimated with color aerial photography and LiDAR data. In terms of tree height, there was no difference between the estimated value and the field measurements in the case of the group accuracy test of the recently unchanged area. Moreover $R^2$ was 0.83 in the case of the individual accuracy test.

산림의 효율적인 관리를 위해 최근 원격탐사 기법을 이용하여 산림에 관련된 정보를 추출하려는 노력들이 활발히 이루어지고 있다. 하지만 단일 원격탐사 데이터를 이용하는 경우 수목 인식의 정확도 및 추출되는 정보의 양적인 면에서 많은 한계를 가진다. 본 연구는 최근의 수목모델링을 위한 핵심기술들을 컬러 항공사진과 LiDAR 데이터에 적용하여 국내 환경에서의 수목 모델링을 수행하고, 그 결과를 평가하는데 그 목적을 두고 있다. 대전광역시 내에 존재하는 소규모 산림 지역 중 침엽수만으로 이루어진 단순림을 대상 지역으로 하였다. 컬러항공사진과 LiDAR 데이터를 이용하여 추정된 개체수의 정확도 평가 결과 $R^2$값이 0.77로 나타났다. 수고의 경우 집단 정확도 평가 결과 최근 변화가 일어나지 않은 지역은 측정값과 추정값의 차이가 없는 것으로 나타났고, 개별 정확도 평가의 경우 $R^2$값이 0.83으로 높은 상관도를 보였다.

Keywords

References

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