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Detection of Trees with Pine Wilt Disease Using Object-based Classification Method

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    Journal of Forest and Environmental Science KCI 등재 바로가기
  • 통권
    제32권 제4호 (2016.11)바로가기
  • 페이지
    pp.384-391
  • 저자
    Jeongmook Park, Woodam Sim, Jungsoo Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A288166

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원문정보

초록

영어
In this study, regions infected by pine wilt disease were extracted by using object-based classification method (OB-infected region), and the characteristics of special distribution about OB-infected region were figured out. Scale 24, Shape 0.1, Color 0.9, Compactness 0.5, and Smoothness 0.5 was selected as the objected-based, optimal weighted value of OB-infected region classification. The total accuracy of classification was high with 99% and Kappa coefficient was also high with 0.97. The area of OB-infected region was approximately 90 ha, 16% of the total area. The OB-infected region in Age class V and VI was intensively distributed with 97% of the total. Also, The OB-infected region in Middle and Large DBH class was intensively distributed with 99% of the total. In terms of the topographic characteristics of OB-infected region, the damages occurred approximately 86% below the altitude of 200 m, and occurred 91% with a slope less than 10 degree. The damage occurred a lot in low hilly mountain and undulating slope. In addition, the accessibility to road and residential area from OB-infected region was less than 300 m in large part. Overall, it was figured out that artificial effect is stronger than natural effect with regard to the spread of pine wilt disease.

목차

Abstract
 Introduction
 Materials and Methods
  Study area
  Study data
  Method
 Results and Discussion
  Classification of OB-infected region
 Conclusion
 References

키워드

Jeju-do Bursaphelenchus xylophilus spatial distribution characteristics object-based classifying

저자

  • Jeongmook Park [ Department of Forest Management, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea ]
  • Woodam Sim [ Department of Forest Management, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea ]
  • Jungsoo Lee [ Department of Forest Management, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
  • 설립연도
    1975
  • 분야
    농수해양>임학
  • 소개
    강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    Journal of Forest and Environmental Science [산림과학연구]
  • 간기
    계간
  • pISSN
    2288-9744
  • eISSN
    2288-9752
  • 수록기간
    1981~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 526 DDC 634

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