Ecological disturbance plants distributed throughout the country are causing a lot of damage to us directly or indirectly in terms of ecology, economy and health. These plants are not easy to manage and remove because they have a strong fertility, and it is very difficult to express them quantitatively. In this study, drone hyperspectral sensor data and Field spectroradiometer were acquired around the experimental area. In order to secure the quality accuracy of the drone hyperspectral image, GPS survey was performed, and a location accuracy of about 17cm was secured. Spectroscopic libraries were constructed for 7 kinds of plants in the experimental area using a Field spectroradiometer, and drone hyperspectral sensors were acquired in August and October, respectively. Spectral data for each plant were calculated from the acquired hyperspectral data, and spectral angles of 0.08 to 0.36 were derived. In most cases, good values of less than 0.5 were obtained, and Ambrosia trifida and Lactuca scariola, which are common in the experimental area, were extracted. As a result, it was found that about 29.6% of Ambrosia trifida and 31.5% of Lactuca scariola spread in October than in August. In the future, it is expected that better results can be obtained for the detection of ecosystem distribution plants if standardized indicators are calculated by constructing a precise spectral angle standard library based on more data.

Abstract
1. 서 론
2. 재료 및 방법
    2.1. 연구대상지 및 자료
    2.2. 지상분광 스펙트럼과 분광각매퍼
    2.3. 드론 초분광 스펙트럼
3. 결과 및 고찰
    3.1. 지상분광스펙트럼 분석
    3.2. 드론 초분광 스펙트럼 분석
    3.3. 생태계교란식물 추출 및 분석
4. 결 론
REFERENCE

• 김용석(동아대학교 디자인환경대학 조경학과) | Yong-Suk Kim (Department of Landscape Architecture, Dong-A University) Corresponding author