• Title/Summary/Keyword: Terrain Data

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Analysis of Very High Resolution Solar Energy Based on Solar-Meteorological Resources Map with 1km Spatial Resolution (1km 해상도 태양-기상자원지도 기반의 초고해상도 태양 에너지 분석)

  • Jee, JoonBum;Zo, Ilsung;Lee, Chaeyon;Choi, Youngjean;Kim, Kyurang;Lee, KyuTae
    • New & Renewable Energy
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    • v.9 no.2
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    • pp.15-22
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    • 2013
  • The solar energy are an infinite source of energy and a clean energy without secondary pollution. The global solar energy reaching the earth's surface can be calculated easily according to the change of latitude, altitude, and sloped surface depending on the amount of the actual state of the atmosphere and clouds. The high-resolution solar-meteorological resource map with 1km resolution was developed in 2011 based on GWNU (Gangneung-Wonju National University) solar radiation model with complex terrain. The very high resolution solar energy map can be calculated and analyzed in Seoul and Eunpyung with topological effect using by 1km solar-meteorological resources map, respectively. Seoul DEM (Digital Elevation Model) have 10m resolution from NGII (National Geographic Information Institute) and Eunpyeong new town DSM (Digital Surface Model) have 1m spatial resolution from lidar observations. The solar energy have small differences according to the local mountainous terrain and residential area. The maximum bias have up to 20% and 16% in Seoul and Eunpyung new town, respectively. Small differences are that limited area with resolutions. As a result, the solar energy can calculate precisely using solar radiation model with topological effect by digital elevation data and its results can be used as the basis data for the photovoltaic and solar thermal generation.

Automatic Generation of 3D Building Models using a Draft Map (도화원도를 이용한 3차원 건물모델의 자동생성)

  • Kim, Seong-Joon;Min, Seong-Hong;Lee, Dong-Cheon;Park, Jin-Ho;Lee, Im-Pyeong
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.2 s.40
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    • pp.3-14
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    • 2007
  • This study proposes an automatic method to generate 3D building models using a draft map, which is an intermediate product generated during the map generation process based on aerial photos. The proposed method is to generate a terrain model, roof models, and wall models sequentially from the limited 3D information extracted from an existing draft map. Based on the planar fitting error of the roof corner points, the roof model is generated as a single planar facet or a multiple planar structure. The first type is derived using a robust estimation method while the second type is constructed through segmentation and merging based on a triangular irregular network. Each edge of this roof model is then projected to the terrain model to create a wall facet. The experimental results from its application to real data indicates that the building models of various shapes in wide areas are successfully generated. The proposed method is evaluated to be an cost and time effective method since it utilizes the existing data.

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A Moving Synchronization Technique for Virtual Target Overlay (가상표적 전시를 위한 이동 동기화 기법)

  • Kim Gye-Young;Jang Seok-Woo
    • Journal of Internet Computing and Services
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    • v.7 no.4
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    • pp.45-55
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    • 2006
  • This paper proposes a virtual target overlay technique for a realistic training simulation which projects a virtual target on ground-based CCD images according to an appointed scenario. This method creates a realistic 3D model for instructors by using high resolution GeoTIFF (Geographic Tag Image File Format) satellite images and DTED(Digital Terrain Elevation Data), and it extracts road areas from the given CCD images for both instructors and trainees, Since there is much difference in observation position, resolution, and scale between satellite Images and ground-based sensor images, feature-based matching faces difficulty, Hence, we propose a moving synchronization technique that projects the targets on sensor images according to the moving paths marked on 3D satellite images. Experimental results show the effectiveness of the proposed algorithm with satellite and sensor images of Daejoen.

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A Filtering Technique of Terrestrial LiDAR Data on Sloped Terrain (사면지형에서 지상라이다 자료의 필터링 기법)

  • Shin, Yoon Su;Choi, Seung Pil;Kim, Jun Seong;Kim, Uk Nam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.6_1
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    • pp.529-538
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    • 2012
  • By using an algorithm derived by a multiple linear regression analysis, a technique for filtering was developed; and by using the developed technique, the results of conducting filtering of the raw data collected via scanning with a terrestrial LiDAR the actual sloped terrain was analyzed. As such, when filtering was applied by dividing the observation areas into two areas with the topographical line as a reference in order to improve the filtering accuracy, it was seen that the filtering accuracy improved by about 8.73% as compared to when filtering was applied without dividing the observation area. In addition, considering the fact that the accuracy improved by 5~7% when the sloped sides of a multicurvature topography were divided and a complex filtering applied as compared to when filtering was applied for the entire area or by regions, it can be asserted that the accuracy was higher when a complex filtering was conducted by dividing the sloped areas where the slope is not constant due to the multi-curvature of topography.

Estimation of Carbon Dioxide Stocks in Forest Using Airborne LiDAR Data (항공 LiDAR 데이터를 이용한 산림의 이산화탄소 고정량 추정)

  • Lee, Sang-Jin;Choi, Yun-Soo;Yoon, Ha-Su
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.259-268
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    • 2012
  • This paper aims to estimate the carbon dioxide stocks in forests using airborne LiDAR data with a density of approximate 4.4 points per meter square. To achieve this goal, a processing chain consisting of bare earth Digital Terrain Model(DTM) extraction and individual tree top detection has been developed. As results of this experiment, the reliable DTM with type-II errors of 3.32% and tree positions with overall accuracy of 66.26% were extracted in the study area. The total estimated carbon dioxide stocks in the study area using extracted 3-D forests structures well suited with the traditional method by field measurements upto 7.2% error level. This results showed that LiDAR technology is highly valuable for replacing the existing forest resources inventory.

The 3D Modelling of Cultural Heritage Using Digital Photogrammetry (수치사진측량기법을 이용한 문화재의 3차원 모델링에 관한 연구)

  • 김진수;박운용;홍순헌
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.4
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    • pp.365-371
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    • 2003
  • Digital high resolution cameras are widely available, and are increasingly use in digital close-range photogrammetry. And photogrammetry instruments are developing rapidly and the precision is improving continuously. The building of 3D terrains of high precision are possible and the calculation of the areas or the earthwork volumes have high precision due to the development of the techlique of the spatial information system using computer. Using the digital camera which has capacity of keeping numerical value by itself and easy carrying, we analyze the positioning error according to various change of photographing condition. Also we try to find a effective method of acquiring basis data for 3D monitoring of high-accuracy in pixel degree through digital close-range photogrammetry with bundle adjustment for local terrain model generation and 3D embodiment of tumulus. In the study is about to efficient analysis of digital information data fer conservation of cultural properties.

LDI (Layered Depth Image) Representation Method using 3D GIS Implementation (LDI 표현방법을 이용한 3D GIS 구현)

  • Song Sang-Hun;Jung Young-Kee
    • KSCI Review
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    • v.14 no.1
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    • pp.231-239
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    • 2006
  • Geographic information system (GIS) geography reference it talks the software system which is possible. When like this geographic information system in key feature trying to observe the problem which is an expression of geography information in the center, the research and development with 3 dimension expressions is active from 2 dimension expressions of existing and it is advanced. double meaning geography information which is huge to be quick, the place where it controls efficiently there is a many problem, the ring from the dissertation which it sees and 3 dimensions and efficient scene of the GIS rendering compared to the ring from hazard image base modeling and rendering compared to hazard proposal LDI (Layered Depth Images) it uses GIS rendering compared to the ring to sleep it does. It acquired the terrain data of 3 dimensions from thread side base method. terrain data of 3 dimensions which are acquired like this the place where it has depth information like this depth information in base and the LDI, it did it created. Also it was a traditional modeling method and 3DS-Max it used and it created the LDI. It used LDI information which is acquired like this and the GIS of more efficient 3 dimensions rendering compared to the possibility of ring it was.

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The Study on Applying Ankle Joint Load Variable Lower-Knee Prosthesis to Development of Terrain-Adaptive Above-Knee Prosthesis (노면 적응형 대퇴 의족개발을 위한 발목 관절 부하 가변형 하퇴 의족 적용에 대한 연구)

  • Eom, Su-Hong;Na, Sun-Jong;You, Jung-Hwun;Park, Se-Hoon;Lee, Eung-Hyuk
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.883-892
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    • 2019
  • This study is the method which is adapted to control ankle joint movement for resolving the problem of gait imbalance in intervals where gait environments are changed and slope walking, as applying terrain-adaptive technique to intelligent above-knee prosthesis. In this development of above-knee prosthesis, to classify the gait modes is essential. For distinguishing the stance phases and the swing phase depending on roads, a machine learning which combines decision tree and random forest from knee angle data and inertial sensor data, is proposed and adapted. By using this method, the ankle movement state of the prosthesis is controlled. This study verifies whether the problem is resolved through butterfly diagram.

A Study on the Application of Local-scale Air Mass Recirculation Factor to High-concentration PM2.5 Episode in Coastal Areas (연안 지역 고농도 PM2.5 사례에 대한 국지 규모 공기괴 재순환 지수 적용 연구)

  • Jung-woo Yoo;Ji Seon Kim;Eun Ji Kim;Soon-Hwan Lee
    • Journal of Environmental Science International
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    • v.32 no.8
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    • pp.521-531
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    • 2023
  • This study analyzed the impact of recirculation on high-concentration PM2.5 in the coastal area. Through the analysis of observational data, it was observed that the development of sea breeze led to an increase in PM2.5 and SO42- concentrations. Hysplit backward trajectory analysis confirmed the occurrence of air mass recirculation. Results from WRF and CMAQ numerical simulations indicated that pollutants transported from land to sea during the night were re-transported to the land by daytime sea breeze, leading to high-concentration PM2.5 in Busan. To quantitatively investigate the recirculation a recirculation factor (RF) was calculated, showing an increase in RF values during high-concentration PM2.5 episodes. However, the RF values varied slightly depending on the time resolution of meteorological data used for the calculations. This variation was attributed to the terrain characteristics at observation sites. Additionally, during long-range transported days leading to nationwide high-concentration PM2.5 events, synoptic-scale circulation dominated, resulting in weaker correlation between PM2.5 concentration and RF values. This study enhances the understanding of the influence of recirculation on air pollution. However, it is important to consider the impact of temporal resolution and terrain characteristics when using RF for evaluating recirculation during episodes of air pollution.

Study on the Impact of Various Observations Data Assimilation on the Meteorological Predictions over Eastern Part of the Korean Peninsula (관측자료별 자료동화 성능이 한반도 동부 지역 기상 예보에 미치는 영향 분석 연구)

  • Kim, Ji-Seon;Lee, Soon-Hwan;Sohn, Keon-Tae
    • Journal of Environmental Science International
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    • v.27 no.11
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    • pp.1141-1154
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    • 2018
  • Numerical experiments were carried out to investigate the effect of data assimilation of observational data on weather and PM (particulate matter) prediction. Observational data applied to numerical experiment are aircraft observation, satellite observation, upper level observation, and AWS (automatic weather system) data. In the case of grid nudging, the prediction performance of the meteorological field is largely improved compared with the case without data assimilations because the overall pressure distribution can be changed. So grid nudging effect can be significant when synoptic weather pattern strongly affects Korean Peninsula. Predictability of meteorological factors can be expected to improve through a number of observational data assimilation, but data assimilation by single data often occurred to be less predictive than without data assimilation. Variation of air pressure due to observation nudging with high prediction efficiency can improve prediction accuracy of whole model domain. However, in areas with complex terrain such as the eastern part of the Korean peninsula, the improvement due to grid nudging were only limited. In such cases, it would be more effective to aggregate assimilated data.