한국초지조사료학회지 (Journal of The Korean Society of Grassland and Forage Science)

  • 제36권4호
  • /
  • Pages.365-369
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  • 2016
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  • 2287-5824(pISSN)
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  • 2287-5832(eISSN)
한국초지조사료학회 (The Korean Society of Grassland and Forage Science)
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무인기와 디지털카메라를 이용한 산지초지에서의 애기수영 분포도 제작

Estimating the Spatial Distribution of Rumex acetosella L. on Hill Pasture using UAV Monitoring System and Digital Camera

  • Lee, Hyo-Jin (GEOMEXSOFT, Ltd.) ;
  • Lee, Hyowon (Department of Agriculture, Korea National Open University) ;
  • Go, Han Jong (Department of Agriculture, Korea National Open University)
  • 투고 : 2016.09.19
  • 심사 : 2016.10.14
  • 발행 : 2016.12.31
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초록

본 연구는 산지초지에서 애기수영의 분포를 신속하고 정밀하게 파악하기 위안 무인기 촬영 항공영상의 이용가능성을 실험하였다. 항공영상은 일반 디지털카메라로 촬영한 RGB 영상과 자체 제작한 NIR 카메라로 촬영한 NIR 영상을 이용하여 각각 Red, Green, Blue 벤드와 NIR 밴드를 이용하였고, 밴드조합에 따른 애기수영의 건물비율과의 상관관계를 조사하였다. 다중선형회귀분석 결과 NIR+R+G+B 밴드의 조합이 가장 높은 상관관계($R^2$, 0.96)를 보였으며, R+G+B 밴드의 조합이 다음으로 높은 상관관계를 보였고 ($R^2$, 0.91) NIR+R 밴드($R^2$, 0.45)와 NIR+G 밴드 ($R^2$, 0.27)는 상대적으로 낮은 상관관계를 보여 NIR+R+G+B 밴드조합이 애기수영 분포 파악을 위하여 가장 적합한 것을 확인하였다. R+G+B 밴드 조합의 경우 NIR+R+G+B 밴드의 조합과 비교하여 예측정확도가 큰 차이가 나지 않았으며 근적외선 카메라 없이 일반 디지털 카메라로 영상정보의 획득이 가능하기 때문에 현장적용성 면에서 장점을 가질 것으로 판단된다.

Red sorrel (Rumex acetosella L.), as one of exotic weeds in Korea, was dominated in grassland and reduced the quality of forage. Improving current pasture productivity by precision management requires practical tools to collect site-specific pasture weed data. Recent development in unmanned aerial vehicle (UAV) technology has offered cost effective and real time applications for site-specific data collection. To map red sorrel on a hill pasture, we tested the potential use of an UAV system with digital cameras (visible and near-infrared (NIR) camera). Field measurements were conducted on grazing hill pasture at Hanwoo Improvement Office, Seosan City, Chungcheongnam-do Province, Korea on May 17, 2014. Plant samples were obtained at 20 sites. An UAV system was used to obtain aerial photos from a height of approximately 50 m (approximately 30 cm spatial resolution). Normalized digital number values of Red, Green, Blue, and NIR channels were extracted from aerial photos. Multiple linear regression analysis results showed that the correlation coefficient between Rumex content and 4 bands of UAV image was 0.96 with root mean square error of 9.3. Therefore, UAV monitoring system can be a quick and cost effective tool to obtain spatial distribution of red sorrel data for precision management of hilly grazing pasture.

키워드

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