• Title/Summary/Keyword: Terrain Data

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Analysis of Wind Environments for Siting a Wind Farm (풍력발전 단지조성을 위한 바람환경 분석)

  • 김현구;최재우;손정봉;정우식;이화운
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.6
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    • pp.745-756
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    • 2003
  • An analysis of wind environments using computational fluid dynamics and an evaluation of wind resources using measurement data obtained from meteorological observation sites at Homi-Cape, Pohang have been carrid out for siting a wind farm. It was shown that a numerical simulation using computational fluid dynamics would provide reliable wind resource map in complex terrain with land-sea breeze condition. As a result of this investigation, Homi-Cape wind farm with 11.25 ㎿ capacity has been designed for maximum power generation and 25.7 GWh electricity production is predicted.

Transmission and Rendering of Massive Terrain Data in Network Environment (네트웍 환경에서의 대규모 지형 데이터 전송 및 렌더링)

  • 김대성;한정현
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.184-186
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    • 2003
  • 본 논문에서는 대규모 지형 데이터를 이용한 네트웍 환경에서의 지형 탐색을 위한 다중 해상도 기법과 prefetching 기법을 제안한다. 지형 렌더링에 널리 사용되는 직각이등변 삼각형 메쉬 형태의 DEM 데이터를 정삼각형 메친 데이터로 재구성한 뒤, 이를 다중 해상도로 구조화하여. 네트웍 환경에서의 주요 문제점인 대역폭과 지연 문제를 보완하였다. 본 기법은 3차원 지형 데이터를 이용한 온라인 게임 등에 응용될 수 있다.

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Implementation of 3D GIS technology for Cell Planning System (무선망 설계 시스템에서의 3D GIS 분석 기술 구현)

  • Jeong, Mi-Young;Jung, Hyun-Meen
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.751-752
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    • 2008
  • This paper introduces current technology trend of cell planning system in radio propagation and 3D GIS technologies which are implemented in Cell planning system "CellTREK" for accurate radio propagation analysis. It includes managing of DTM(Digital Terrain Model) data considering building height used by 3D propagation analysis module, and navigation module based on DirectX technology to estimate and eliminate the shadowing area by high rise buildings.

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A Construction of Variable resolution model of terrain data by Mesh Simplification (메쉬 간략화를 통한 지형데이터의 가변 해상도 모델구축)

  • 유동윤;마상백
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.641-643
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    • 1998
  • 본 논문은 방대한 양의 데이터로 이루어진 삼각형 메쉬의 특성을 유지하면서 보다 적은 양의 데이터로 간략화된 메쉬를 생성해내는 기법을 제안한다. 메쉬 간략화는 기본적으로 에지 축약에 의해서 이루어지며, 에지 축약에 의해 발생하는 에러는 원본 메쉬의 점과 간략화된 메쉬의 평균 평면간의 거리를 사용하여 측정한다. 또한 본 논문에서 제안한 메쉬 간략화 기법을 사용하여 다단계의 해상도를 가지는 메쉬를 빠르게 구하기 위한 가변 해상도 모델을 구현한다.

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Analysis of Radar Clutter Data and Models for Terrain and Sea (레이다 클러터 데이터 및 모델에 관한 연구)

  • 이용택;서한교;김영수
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.3 no.2
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    • pp.66-78
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    • 1992
  • Available data for the radar clutter, and the empirical and the theoretical models for the radar clutter have been collected and analyzed. Data sets and models from the remote sensing field have been studied extensively. Although the grazing angles used in remote sensing is larger than the angles normally encountered in radar clutter application, remote sensing field has the merit of abundance of data in much more detailed target classes. The remote sensing model is also superior to the normally used clutter models in the sense that each target class has its own model, rather than being generally characterized by assumed roughness parameters.

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Moving Object Management System for Battlefield Simulation

  • Ahn, Yoon-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.3
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    • pp.663-675
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    • 2004
  • A battlefield simulation is the evaluation and analysis of the battlefield area, based on the data for terrain, climate, unit's maneuver and tactics basically required in battlefield simulation. Because it is difficult for the military authorities to collect all of the information perfectly for the reason of communication technology, jamming, and tactics, the military authorities need the future moving status for the target units by using acquired moving information. Therefore, we propose a moving object management system that concurrently provides domain reasoning function for the battlefield simulation. In order to implement the proposed system, we show the data modeling of the moving object for the battlefield simulation, and propose an inference engine using domain rule base and spatiotemporal operation. Also, we analyze the query response rate by inference function to verify domain reasoning of the implemented system.

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A Study on Multi-site Rainfall Prediction Model using Real-time Meteorological Data (실시간 기상자료를 이용한 다지점 강우 예측모형 연구)

  • Jung, Jae-Sung;lee, Jang-Choon;Park, Young-Ki
    • Journal of Environmental Science International
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    • v.6 no.3
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    • pp.205-211
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    • 1997
  • For the prediction of multi-site rainfall with radar data and ground meteorological data, a rainfall prediction model was proposed, which uses the neural network theory, a kind of artifical Intelligence technique. The Input layer of the prediction model was constructed with current ground meteorological data, their variation, moving vectors of rain- fall field and digital terrain of the measuring site, and the output layer was constructed with the predicted rainfall up to 3 hours. In the application of the prediction model to the Pyungchang river basin, the learning results of neural network prediction model showed more Improved results than the parameter estimation results of an existing physically based model. And the proposed model comparisonally well predicted the time distribution of ralnfall.

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AUTOMATIC BUILDING EXTRACTION BASED ON MULTI-SOURCE DATA FUSION

  • Lu, Yi Hui;Trinder, John
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.248-250
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    • 2003
  • An automatic approach and strategy for extracting building information from aerial images using combined image analysis and interpretation techniques is described in this paper. A dense DSM is obtained by stereo image matching. Multi-band classification, DSM, texture segmentation and Normalised Difference Vegetation Index (NDVI) are used to reveal building interest areas. Then, based on the derived approximate building areas, a shape modelling algorithm based on the level set formulation of curve and surface motion has been used to precisely delineate the building boundaries. Data fusion, based on the Dempster-Shafer technique, is used to interpret simultaneously knowledge from several data sources of the same region, to find the intersection of propositions on extracted information derived from several datasets, together with their associated probabilities. A number of test areas, which include buildings with different sizes, shape and roof colour have been investigated. The tests are encouraging and demonstrate that the system is effective for building extraction, and the determination of more accurate elevations of the terrain surface.

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Validation of Calibrated Wind Data Sector including Shadow Effects of a Meteorological Mast Using WindSim (WindSim을 이용한 풍황탑 차폐오차 구간의 보정치 검증)

  • Park, Kun-Sung;Ryu, Ki-Whan;Kim, Hyun-Goo
    • Journal of Wind Energy
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    • v.4 no.2
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    • pp.34-39
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    • 2013
  • The wind resource assessment for measured wind data over 1 year by using the meteorological mast should be a prerequisite for business feasibility of the wind farm development. Even though the direction of boom mounting the wind vane and anemometer is carefully engineered to escape the interference of wakes generated from the met-mast structures, the shadow effect is not completely avoided due to seasonal winds in the Korean Peninsula. The shadow effect should be properly calibrated because it is able to distort the wind resources. In this study a calibration method is introduced for the measured wind data at Julpo in Jeonbuk Province. Each sectoral terrain conditions along the selected wind direction nearby the met-mast is investigated, and the distorted wind data due to shadow effects can be calibrated effectively. The correction factor is adopted for quantitative calibration by carrying out the WindSim analysis.

Availability of Land Surface Temperature Using Landsat 8 OLI/TIRS Science Products (Landsat 8 OLI/TIRS Science Product를 활용한 지표면 온도 유용성 평가)

  • Park, SeongWook;Kim, MinSik
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.463-473
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    • 2021
  • Recently, United States Geological Survey (USGS) distributed Landsat 8 Collection 2 Level 2 Science Product (L2SP). This paper aims to derive land surface temperature from L2SP and to validate it. Validation is made by comparing the land surface temperature with the one calculated from Landsat 8 Collection 1 Level 1 Terrain Precision (L1TP) and the one from Automated Synoptic Observing System (ASOS). L2SP is calculated from Landsat 8 Collection 2 Level 1 data and it provides land surface temperature to users without processing surface reflectance data. Landsat 8 data from 2018 to 2020 is collected and ground sensor data from eight sites of ASOS are used to evaluate L2SP land surface temperature data. To compare ground sensor data with remotely sensed data, 3×3 grid area data near ASOS station is used. As a result of analysis with ASOS data, L2SP and L1TP land surface temperature shows Pearson correlation coefficient of 0.971 and 0.964, respectively. RMSE (Root Mean Square Error) of two results with ASOS data is 4.029℃, 5.247℃ respectively. This result suggests that L2SP data is more adequate to acquire land surface temperature than L1TP. If seasonal difference and geometric features such as slope are considered, the result would improve.