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디지털 트윈 구현을 위한 3차원 공간정보 구축사례 연구
김승엽 ( Seung-yub Kim ),이호현 ( Ho-hyun Lee ),최은수 ( Eun-soo Choi ),고제웅 ( Je-ung Go ) 한국지리정보학회 2020 한국지리정보학회지 Vol.23 No.3
In the 4th industrial revolution, research on solving urban problems using ICT technology is emerging. Representatively, research is being conducted mainly focusing on smart cities. 3D geo-spatial. Various case studies on smart cities are being conducted to solve urban problems, and in order to effectively implement smart cities, it is implemented on the basis of a digital twin interconnecting physical and virtual environments. To implement a digital twin, the concept of space is essential, and spatial information that composes the real world is also essential. Therefore, in order to implement the digital twin, this study conducted a study on the construction and modeling of 3D geo-spatial information based on the national spatial information establishment regulations and the international standard CityGML for buildings, water facilities, and transportation facilities in Jeonju. In Jeonju, the research area, the LOD was defined, and the possibility of digital twin based on geo-spatial information was determined through data collection, analysis, and construction for each detail. In this study, it is meaningful that a plan to construct geo-spatial information for the implementation of a digital twin is presented, and the result of the construction is modeled as an urban standard model. The results of study are expected to be used as reference for detailed construction plans and standard establishment by governments and local governments promoting smart city and digital twin construction in the future.
항공 LiDAR 기반 Local Maxima를 이용한 산림지역 수목정보 추출 자동화
최인하 ( In-ha Choi ),남상관 ( Sang-kwan Nam ),김승엽 ( Seung-yub Kim ),이동국 ( Dong-gook Lee ) 대한원격탐사학회 2023 大韓遠隔探査學會誌 Vol.39 No.5
현재 국가산림자원조사(National Forest Inventory, NFI)는 인력에 의한 수목정보를 수집하고 있어 조사 범위와 시간의 한계가 따른다. 항공 Light Detection And Ranging (LiDAR) 및 항공 사진 등을 이용하여 넓은 지역의 수목 정보를 추출하기 위한 연구가 활발하게 진행되고 있으나 수목의 간격이 넓은 지역이거나 수목의 간격이 일정하게 배치된 지역을 대상으로 이루어지고 있어 우리나라 산림지역 특성을 반영하지 못하고 있다. 이에 본 연구에서는 항공 LiDAR를 이용하여 수치표면모델(Digital Surface Model, DSM), 수치표고모델(Digital Elevation Model, DEM), 수목높이모델(Canopy Height Model, CHM) 영상을 생성한 후 local maxima 기법을 통해 수고를 추출하고 산정식을 통해 흉고직경(Diameter at Breast Height, DBH)을 산정하는 방법론을 제안하였다. 제안한 방법론을 통해 추출한 수목의 검출 정확도는 매목지구별 각 88.46%, 86.14%, 84.31%로 나타났으며, 수고 값을 기반으로 산정한 DBH의 평균제곱근오차(Root Mean Squared Error, RMSE)가 5 cm 내외로 나타나 제안한 방법론의 활용 가능성을 확인하였다. 향후 다양한 유형의 산림에 대한 표준화 연구를 진행한다면 수작업으로 이루어지는 국가산림자원조사의 자동화 적용 범위를 확대할 수 있을 것으로 사료된다. Currently, the National Forest Inventory (NFI) collects tree information by human, so the range and time of the survey are limited. Research is actively being conducted to extract tree information from a large area using aerial Light Detection And Ranging (LiDAR) and aerial photographs, but it does not reflect the characteristics of forest areas in Korea because it is conducted in areas with wide tree spacing or evenly spaced trees. Therefore, this study proposed a methodology for generating Digital Surface Model (DSM), Digital Elevation Model (DEM), and Canopy Height Model (CHM) images using aerial LiDAR, extracting the tree height through the local Maxima, and calculating the Diameter at Breath Height (DBH) through the DBH-tree height formula. The detection accuracy of trees extracted through the proposed methodology was 88.46%, 86.14%, and 84.31%, respectively, and the Root Mean Squared Error (RMSE) of DBH calculated based on the tree height formula was around 5cm, confirming the possibility of using the proposed methodology. It is believed that if standardized research on various types of forests is conducted in the future, the scope of automation application of the manual national forest resource survey can be expanded.