비파괴적 RGB 이미지 분석을 활용한 들잔디 ‘제니스’에서의 답압으로 인한 마모 스트레스 정량적 분석

Abstract

The RGB (red, green, and blue) imagery analysis is an important remote sensing tool, which estimates the effect of environmental stress on turfgrass growth and physiology. Therefore, this study investigated the effect of continuous wear stress treatment on Zoysia japonica through RGB imagery analysis. The results of the growth measurement showed that the plant height sub stantially decreased, after nine hours of treatment with no considerable difference thereafter. Dry weight meas urement showed a substantial difference in the morpho logical growth characteristics of the aerial part of the turfgrass, but none in the stolon and root zone. This could be attributed to the short period of compaction treatment. The ROS (reactive oxygen species) analysis showed that ROS rapidly increased due to wear stress treatment. The MDA content increased during the traf fic process, whereas the green pixels increased and de creased repeatedly; however, overall, the trend declined but the overall trend decreased. Thus, this study con firmed that MDA was effective in reflecting the wear stress of turfgrass; however, it could through RGB im age analysis.