• Title/Summary/Keyword: suspected PWN

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Use of Unmanned Aerial Vehicle for Forecasting Pine Wood Nematode in Boundary Area: A Case Study of Sejong Metropolitan Autonomous City (무인항공기를 이용한 소나무재선충병 선단지 예찰 기법: 세종특별자치시를 중심으로)

  • Kim, Myeong-Jun;Bang, Hong-Seok;Lee, Joon-Woo
    • Journal of Korean Society of Forest Science
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    • v.106 no.1
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    • pp.100-109
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    • 2017
  • This study was conducted for preliminary survey and management support for Pine Wood Nematode (PWN) suppression. We took areal photographs of 6 areas for a total of 2,284 ha during 2 weeks period from 15/02/2016, and produced 6 ortho-images with a high resolution of 12 cm GSD (Ground Sample Distance). Initially we classified 423 trees suspected for PWN infection based on the ortho-images. However, low accuracy was observed due to the problems of seasonal characteristics of aerial photographing and variation of forest stands. Therefore, we narrowed down 231 trees out of the 423 trees based on the initial classification, snap photos, and flight information; produced thematic maps; conducted field survey using GNSS; and detected 23 trees for PWN infection that was confirmed by ground sampling and laboratory analysis. The infected trees consisted of 14 broad-leaf trees, 5 pine trees (2 Pinus rigida), and 4 other conifers, showing PWN infection occurred regardless of tree species. It took 6 days for 2.3 men from to start taking areal photos using UAV (Unmanned Aerial Vehicle) to finish detecting PNW (Pine Wood Nematode) infected tress for over 2,200 ha, indicating relatively high efficacy.