한국지리정보학회지 (Journal of the Korean Association of Geographic Information Studies)
- 제4권4호
- /
- Pages.72-78
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- 2001
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- 1226-9719(pISSN)
- /
- 2287-6952(eISSN)
고해상도 IKONOS 영상을 활용한 소나무재선충 피해지역 추출 기법
Extraction Method of Damaged Area by Pinetree Pest(Bursaphelenchus Xylophilus) using High Resolution IKONOS Image
-
Jo, Myung-Hee
(Dept. of Urban Information & Cadastral Engineering, Kyungil University)
;
- Kim, Joon-Bum (Korea Forest Research Institute) ;
-
Oh, Jeong-Soo
(Korea Forest Research Institute)
;
- Lee, Kwang-Jae (Dept. of Urban Information & Cadastral Engineering, Kyungil University)
- 투고 : 2001.12.05
- 발행 : 2001.12.31
초록
본 연구에서는 경남 거제시 연초면 지역의 소나무재선충(Bursaphelenchus Xylophilus) 피해발생 선단지를 보다 효율적으로 추출하기 위하여 IKONOS 1m 영상의 공간해상도와 Landsat TM 영상의 band 3, 4와 동일 파장대역이면서 식생과 같은 산림분야 연구에 많이 이용되고 있는 4m 영상의 Red(0.63~0.69)밴드, NIR(0.76~0.90)밴드를 활용하였다. 그 결과 IKONOS 4m 영상의 식생밴드(NIR band)를 이용한 히스토그램 분석이 가장 효과적이었으며, 이는 GPS(global positioning system)를 이용한 현지조사에서 총 22개의 sample 지점에서 15개의 소나무재선충 피해목을 추출함으로서 확인되었다. 본 연구는 소나무재선충 피해지역 추출뿐만 아니라 산림병해충 피해연구에 대한 고해상도 위성영상의 활용가능성을 제시하고자 한다.
In this study, high spatial resolution of IKONOS 1m image and Red(0.63~0.69) band, NIR(0.76~0.90) band in 4m image, which are the same wavelength range as Landsat TM band 3, 4, were used for extraction of the front areas of B. Xylophilus in Geuje island where is located in southern part of Korea. Moreover, since they have higher spatial resolutions than Landsat TM, they have been used for lots of studies in the field of forest and vegetation. In the results, it was validated by GPS field survey, spectral histogram analysis of IKONOS NIR band was significant available method for extracting the front areas of B. Xylophilus. In this study, 15 points were verified as real damaged trees of 22 sample points extracted from GPS field survey. This study was not only extracted the damaged trees by B. Xylophilus but also suggested the possibility of using IKONOS images for the study on the forest damages by any disease and insect pests.
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