Journal of Korean Society of Forest Science (한국산림과학회지)

Korean Society of Forest Science (한국산림과학회)
권호 표지

Vegetation Classification and Biomass Estimation using IKONOS Imagery in Mt. ChangBai Mountain Area

IKONOS 위성영상을 이용한 중국 장백산 일대의 식생분류 및 바이오매스 추정

  • Cui, Gui-Shan (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Lee, Woo-Kyun (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Zhu, Wei-Hong (Department of Geography department, Yanbian University) ;
  • Lee, Jongyeol (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Kwak, Hanbin (Department of Environmental Science and Ecological Engineering, Korea University) ;
  • Choi, Sungho (Department of Geography and Environment, Boston University) ;
  • Kwak, Doo-Ahn (GIS/RS Center for Environmental Resources, Korea University) ;
  • Park, Taejin (GIS/RS Center for Environmental Resources, Korea University)
  • Published : 2012.09.30
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Abstract

This study was to estimate the biomass of Mt. Changbai mountain area using the IKONOS imagery and field survey data. Then, we prepared the regression function using the vegetation index derived from the IKONOS and biomass estimated from field measured data of previous studies, respectively. The five vegetation index which used in the regression model was SAVI, NDVI, SR, ARVI, and EVI. As a result, the rank of the R-square from coefficient of correlation was as follow, SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026). Finally, we estimated the biomass of non-measured area using the Soil Adjusted Vegetation Index (SAVI). This study can be used as reference methodology for the estimation of carbon sinks of primary forest.

본 연구에서는 접근이 어려운 장백산 중국 지역의 바이오매스를 현장조사 자료와 IKONOS 위성영상을 이용하여 추정하였다. IKONOS 위성영상을 이용하여 임상단위로 수종구분을 하고, 위성영상으로부터 추정된 식생지수와 기존 연구에서 추정된 장백산 일부 지역의 바이오매스(Biomass)를 이용하여 회귀분석을 실시하였다. 이때, 위성영상으로부터 추정된 식생지수 5가지(SAVI, NDVI, SR, ARVI, EVI)와 현장정보가 이용되었다. 그 결과 5가지 식생지수와 바이오매스간의 상관관계의 결정계수의 순위는 다음과 같이 SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026) 나타났다. 이와 같은 결과를 바탕으로 최종적으로, 장백산 일부 지역에 대한 수종별 바이오매스 분포량을 산출함으로써 천연림의 탄소흡수원 추정을 위한 기초자료를 마련하였다.

Keywords

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