Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference (한국농림기상학회:학술대회논문집)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
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Application of Machine Learning Algorithm for Spatially Expanding for Forest Gross Primary Production

산림 총일차생산성 추정의 공간적 확산을 위한 머신러닝 알고리즘의 적용

  • Lee, B. (Forest Ecology and Climate Change Division, National Institute of Forest Science) ;
  • Kim, E. (Forest Ecology and Climate Change Division, National Institute of Forest Science) ;
  • Kang, M. (National Center for AgroMeteorology) ;
  • Kim, J. (Department of Landscape Architecture and Rural System Engineering, Seoul National University) ;
  • Lim, J.H. (Forest Ecology and Climate Change Division, National Institute of Forest Science)
  • 이보라 (국립산림과학원 기후변화생태연구과) ;
  • 김은숙 (국립산림과학원 기후변화생태연구과) ;
  • 강민석 (국가농림기상센터) ;
  • 김준 (서울대학교 생태조경.지역시스템공학과) ;
  • 임종환 (국립산림과학원 기후변화생태연구과)
  • Published : 2019.08.29
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