RGB, 열화상, 다중분광 카메라 등의 영상 취득 기술을 활용한 식생 분석 재해위험 모니터링 기술 적용 방안

Measures to apply vegetation analysis disaster risk monitoring technology using image acquisition technologies such as RGB, thermal imaging, and multispectral cameras

Climate change is causing various changes, such as precipitation amount and intensive precipitation time. In particular, as the amount of precipitation per hour increases in certain areas, the pattern of disasters caused by heavy rain is also changing. In particular, road slopes, reservoirs, and rivers that are vulnerable to heavy rain are facilities that are directly affected by climate change. To prevent disasters, existing analog inspections have limitations, and new disaster prevention technologies such as IOT technology and advanced inspection equipment are needed. In particular, vegetation changes are occurring rapidly in relation to heavy rain, and disaster prevention technology that links vegetation changes and heavy rain disaster risks using thermal imaging cameras or multi-spectral cameras is a new approach. In particular, damage caused by vegetation in rivers leads to an increase in sedimentary layers, and during heavy rain, vegetation breaks and blocks bridges, forming dams, leading to river flooding. We aim to present applicability that can be used as a way to prevent disasters by appropriately controlling vegetation.