Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Estimation of Stand-level Above Ground Biomass in Intact Tropical Rain Forests of Brunei using Airborne LiDAR data

항공 LiDAR 자료를 이용한 브루나이 열대우림의 임분단위 지상부 생체량 추정

  • Yoon, Mihae (Division of Environment Science and Ecological Engineering, Korea University) ;
  • Kim, Eunji (Department of Climate Environment, Graduate School of Life & Environmental Sciences, Korea University) ;
  • Kwak, Doo-Ahn (Korea Forest Conservation Association) ;
  • Lee, Woo-Kyun (Division of Environment Science and Ecological Engineering, Korea University) ;
  • Lee, Jong-Yeol (Division of Environment Science and Ecological Engineering, Korea University) ;
  • Kim, Moon-Il (Division of Environment Science and Ecological Engineering, Korea University) ;
  • Lee, Sohye (Division of Environment Science and Ecological Engineering, Korea University) ;
  • Son, Yowhan (Division of Environment Science and Ecological Engineering, Korea University) ;
  • Salim, Kamariah Abu (Biology Department, Kuala Belalong Field Studies Centre, Universiti Brunei Darussalam)
  • 윤미해 (고려대학교 환경생태공학과) ;
  • 김은지 (고려대학교 기후환경학과) ;
  • 곽두안 (한국산지보전협회) ;
  • 이우균 (고려대학교 환경생태공학과) ;
  • 이종열 (고려대학교 환경생태공학과) ;
  • 김문일 (고려대학교 환경생태공학과) ;
  • 이소혜 (고려대학교 환경생태공학과) ;
  • 손요환 (고려대학교 환경생태공학과) ;
  • Received : 2014.10.20
  • Accepted : 2015.02.13
  • Published : 2015.04.30
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Abstract

This study aims to quantify the stand-level above ground biomass in intact tropical rain forest of Brunei using airborne LiDAR data. Twenty four sub-plots with the size of 0.09ha ($30m{\times}30m$) were located in the 25ha study area along the altitudinal gradients. Field investigated data (Diameter at Breast Height (DBH) and individual tree position data) in sub-plots were used. Digital Surface Model (DSM), Digital Terrain Model (DTM) and Canopy Height Model (CHM) were constructed using airborne LiDAR data. CHM was divided into 24 sub-plots and 12 LiDAR height metrics were built. Multiple regression equation between the variables extracted from the LiDAR data and biomass calculated by using a allometric equation was derived. Stand-level biomass estimated from LiDAR data were distributed from 155.81 Mg/ha to 597.21 Mg/ha with the mean value of 366.48 Mg/ha. R-square value of the verification analysis was 0.84.

본 연구는 항공 LiDAR 자료를 이용하여 열대원시림인 브루나이 지역의 지상부 생체량을 정량화하기 위하여 수행되었다. 25ha 크기의 연구대상지에 0.09ha ($30m{\times}30m$) 크기의 24개의 표본구 내에서 조사된 각 표본점 내 개체목의 흉고직경 및 위치자료를 활용하였다. 또한, 항공 LiDAR 자료를 이용하여 수치표면모델(Digital Surface Model), 수치지형모델(Digital Terrain Model), 수고모델(Canopy Height Model)을 구축하였다. 수고모델을 표본구단위로 분할하고 총 12개의 LiDAR 높이변수를 구축하였다. 표본구별로 상대생장식을 이용하여 계산된 생체량과 LiDAR 자료로부터 추출된 변수간의 다중회귀분석을 통해 LiDAR 자료로부터 생체량을 추정할 수 있는 식을 도출하였다. 표본구의 생체량은 평균 366.48 Mg/ha였으며, 155.81 Mg/ha부터 597.21 Mg/ha까지 분포하였다. LiDAR로부터 생체량을 추정하는 식의 검증 결과, 결정계수 값은 0.84로 나타났다.

Keywords

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