인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Riverbed surveying involves measuring the shape, depth, and topographical features of a riverbed to build spatial information about the riverbed. This information is crucial for flood and disaster prevention, river ecosystem protection, design and maintenance of river structures, and studies on sediment transport and erosion, making it essential for comprehensive river basin management. Traditional riverbed surveying methods include direct surveying and the use of acoustic sounding instruments. However, advanced surveying techniques such as drone photogrammetry, LiDAR, and satellite remote sensing are increasingly being utilized. Among these, ABL (Airborne Bathymetric LiDAR), which allows for depth measurement over large areas, is particularly advantageous for efficient and cost-effective riverbed and river surveying. Despite the advantages of ABL system, domestic research on its applicability to riverbed surveying remains limited. Therefore, this study aims to establish methodologies for constructing riverbed information using ABL survey data acquired for the same river in 2020 and 2024. A DEM (Digital Elevation Model) of the riverbed was developed, and its utility was evaluated. Additionally, time-series analysis was conducted using the DEMs constructed from data collected at different times to verify the applicability of this approach for investigating riverbed changes.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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