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Detection of Decay Leaf Using High-Resolution Satellite Data

고해상도 위성자료를 활용한 마른 잎 탐지

  • Sim, Suyoung (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Jin, Donghyun (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Seong, Noh-hun (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Lee, Kyeong-sang (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Seo, Minji (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Choi, Sungwon (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Jung, Daeseong (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University) ;
  • Han, Kyung-soo (Major of Spatial Information Engineering, Division of Earth Environmental Science, Pukyong National University)
  • 심수영 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 진동현 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 성노훈 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 이경상 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 서민지 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 최성원 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 정대성 (부경대학교 지구환경시스템과학부 공간정보시스템공학과) ;
  • 한경수 (부경대학교 지구환경시스템과학부 공간정보시스템공학과)
  • Received : 2020.04.21
  • Accepted : 2020.05.19
  • Published : 2020.06.30

Abstract

Recently, many studies have been conducted on the changing phenology on the Korean Peninsula due to global warming. However, because of the geographical characteristics, research on plant season in autumn, which is difficult to measure compared to spring season, is insufficient. In this study, all leaves that maple and fallen leaves were defined as 'Decay leaves' and decay leaf detection was performed based on the Landsat-8 satellite image. The first threshold value of decay leaves was calculated by using NDVI and the secondary threshold value of decay leaves was calculated using by NDWI and the difference of spectral characteristics with green leaves. POD, FAR values were used to verify accuracy of the dry leaf detection algorithm in this study, and the results showed high accuracy with POD of 98.619 and FAR of 1.203.

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