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Land-use Change Assessment by Permanent Sample Plots in National Forest Inventory

국가산림자원조사 고정표본점 자료를 이용한 토지이용변화 평가

  • Yim, Jong-Su (Center for Forest and Climate Change, Korea Forest Research Institute) ;
  • Kim, Rae Hyun (Center for Forest and Climate Change, Korea Forest Research Institute) ;
  • Lee, Sun Jeoung (Center for Forest and Climate Change, Korea Forest Research Institute) ;
  • Son, Yeong Mo (Center for Forest and Climate Change, Korea Forest Research Institute)
  • 임종수 (국립산림과학원 기후변화연구센터) ;
  • 김래현 (국립산림과학원 기후변화연구센터) ;
  • 이선정 (국립산림과학원 기후변화연구센터) ;
  • 손영모 (국립산림과학원 기후변화연구센터)
  • Received : 2014.12.19
  • Accepted : 2015.03.23
  • Published : 2015.03.31

Abstract

Forests are to be recognized as an important carbon sink under the UNFCCC that consist of above- and below-biomass, dead organic matter (DOM) such as dead wood and litter, and soil organic matter (SOM). In order to asses for DOM and SOM, however, it is relevant to land-use change matrices over last 20 years for each land-use category. In this study, a land-use change matrix was produced and its uncertainty was assessed using a point sampling technique with permanent sample plots in national forest inventory at Chungbuk province. With point sampling estimated areas at 2012 year for each land-use category were significantly similar to the true areas by given six land-use categories. Relative standard error in terms of uncertainty of land-use change among land-use categories ranged in 4.3~44.4%, excluding the other land. Forest and cropland covered relatively large areas showed lower uncertainty compared to the other land-use categories. This result showed that selected permanent samples in the NFI are able to support for producing land-use change matrix at a national or province level. If the $6^{th}$ NFI data are fully collected, the uncertainty of estimated area should be improved.

Keywords

Acknowledgement

Supported by : 산림청