• Title/Summary/Keyword: 지면모형

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Automatic Generation of DEM using LIDAR Data (LiDAR 데이터를 이용한 DEM 자동 생성 기법)

  • Lee, Jeong-Ho;Han, Su-Hee;Yu, Ki-Yun;Kim, Yong-Il;Lee, Byung-Kil
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.4 s.34
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    • pp.27-32
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    • 2005
  • DEM is needed for urban modeling, forecasting of floods and the analysis of slope and aspect. It has been generated using digital maps, aerial photos or satellite imageries. Recently, however, many studies on DEM generation from LiDAR data has been conducted because of its efficiency and accuracy. Filtering is said to be the process of making DEM by eliminating non-ground points from LiDAR data. In most researches, some input parameters such as the size of filter are required. The purpose of this investigation is to automatically obtain DEM by eliminating objects of various sizes without the knowledge of the objects' sizes. The experimental results show that most of objects on steep terrain are eliminated by the proposed method.

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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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Automatic Extraction of Individual Tree Height in Mountainous Forest Using Airborne Lidar Data (항공 Lidar 데이터를 이용한 산림지역의 개체목 자동 인식 및 수고 추출)

  • Woo, Choong-Shik;Yoon, Jong-Suk;Shin, Jung-Il;Lee, Kyu-Sung
    • Journal of Korean Society of Forest Science
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    • v.96 no.3
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    • pp.251-258
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    • 2007
  • Airborne Lidar (light detection and ranging) can be an effective alternative in forest inventory to overcome the limitations of conventional field survey and aerial photo interpretation. In this study, we attempt to develop methodologies to identify individual trees and to estimate tree height from airborne Lidar data. Initially, digital elevation model (DEM) data representing the exact ground surface were generated by removing non-ground returns from the multiple-return laser point clouds, obtained over the coniferous forest site of rugged terrain. Based on the canopy height model (CHM) data representing non-ground layer, individual tree heights are extracted through pseudo-grid method and moving window filtering algorithm. Comparing with field survey data and aerial photo interpretation on sample plots, the number of trees extracted from Lidar data show over 90% accuracy and tree heights were underestimated within 1.1m in average at two plantation stands of pine (Pinus koraiensis) and larch (Larix leptolepis).

Estimating Volume of Martian Valleys using Adaptive TIN Filtering Algorithm (Adaptive TIN 필터링을 이용한 화성 계곡의 체적 추정)

  • Jung, Jae Hoon;Heo, Joon;Kim, Chang Jae;Luo, Wei
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.3
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    • pp.3-10
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    • 2012
  • The investigation of valley networks and their volume provide important information about past water activities on Mars. As an alternative of conventional image processing methods, terrain filtering algorithm using pointcloud data is suggested in this study. First, the topography of pointcloud is inverted so that the valleys become positive features and the algorithm is then applied to distinguish the valleys from the surface. Ground DEM and object DEM are generated from both the valleys and the surface pointcloud then the volume of valleys is estimated by multiplying the height difference between the surface with valleys and the area of valleys based on grid cellsize. In the test of valleys adjacent to Tuscaloosa crater, the total volume of valleys was estimated to be $1.41{\times}10^{11}m^3$ with the difference of 12% and 16% compared with the infill volume of Tuscaloosa crater and BTH result respectively.

Using Spatial Data and Land Surface Modeling to Monitor Evapotranspiration across Geographic Areas in South Korea (공간자료와 지면모형을 이용한 면적증발산 추정)

  • Yun J. I.;Nam J. C.;Hong S. Y.;Kim J.;Kim K. S.;Chung U.;Chae N. Y.;Choi T. J
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.6 no.3
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    • pp.149-163
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    • 2004
  • Evapotranspiration (ET) is a critical component of the hydrologic cycle which influences economic activities as well as the natural ecosystem. While there have been numerous studies on ET estimation for homogeneous areas using point measurements of meteorological variables, monitoring of spatial ET has not been possible at landscape - or watershed - scales. We propose a site-specific application of the land surface model, which is enabled by spatially interpolated input data at the desired resolution. Gyunggi Province of South Korea was divided into a regular grid of 10 million cells with 30m spacing and hourly temperature, humidity, wind, precipitation and solar irradiance were estimated for each grid cell by spatial interpolation of synoptic weather data. Topoclimatology models were used to accommodate effects of topography in a spatial interpolation procedure, including cold air drainage on nocturnal temperature and solar irradiance on daytime temperature. Satellite remote sensing data were used to classify the vegetation type of each grid cell, and corresponding spatial attributes including soil texture, canopy structure, and phenological features were identified. All data were fed into a standalone version of SiB2(Simple Biosphere Model 2) to simulate latent heat flux at each grid cell. A computer program was written for data management in the cell - based SiB2 operation such as extracting input data for SiB2 from grid matrices and recombining the output data back to the grid format. ET estimates at selected grid cells were validated against the actual measurement of latent heat fluxes by eddy covariance measurement. We applied this system to obtain the spatial ET of the study area on a continuous basis for the 2001-2003 period. The results showed a strong feasibility of using spatial - data driven land surface models for operational monitoring of regional ET.

Spatio-temporal pattern of energy fluxes in Northeast Asia using CLM5 (CLM5 기반 동북아시아 에너지 플럭스 분석 및 검증)

  • Yulan Li;Nguyen Thi Ngoc My;Minsun Kang;Minha Choi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.434-434
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    • 2023
  • 다양한 지면 모형은 대기 강제력 데이터 세트에 의해 구동되며 육지의 물, 에너지 및 생지화학적 순환의 해석에 활용된다. 그 중 에너지 플럭스 교환을 추정하는 것은 극심한 가뭄, 폭염, 물 부족 등 극한 기후 현상에서 중요한 역할을 한다. 에너지 플럭스는 기상기후조건과 토지피복의 변화에 따른 영향을 받고 있는데 그 영향을 구체적으로 조사하는 것은 생태계 프로세스의 매커니즘을 구성하는 데 필수적이다. 본 연구에서는 최신버전인 Community Land Model 버전 5.0 (CLM5)를 이용하여 동북아시아 지역의 에너지 플럭스의 시공간분포를 분석하였다. CLM5의 시뮬레이션은 1991년부터 2010년까지 2.5° × 2.5° 그리드에서 실행되었고 주요 에너지 인자인 순복사량, 현열, 잠열을 모의하였으며, 실행결과는 FLUXNET의 동북아시아 사이트의 관측자료를 이용하여 모델을 검증 및 평가하였다. 대기 강제력 변수의 차이는 모의 결과에 영향을 미치기 때문에 수문인자와 토지피복유형에 따른 에너지 플럭스의 변동성을 분석하였고 잠열을 식생 증발산열과 지면 증발열로 파티션하여 연구지역에 따른 각 구성요소의 비율을 산정하였다. 20년간의 순복사열, 잠열과 온도의 시공간적 변동성의 연 추세를 분석한 결과 동북아시아의 대부분 지역에서 잠열과 온도는 소폭 증가되였고 순복사열은 중국 내륙과 몽골지역에서 감소되였다. 본 연구는 지표와 대기 사이의 에너지 교환에 대해 분석하였으며 이후 증발산 및 물 플럭스와의 연동성과 관계성 분석에 활용하여 기후변화를 이해하는 데 기여할수 있을 것으로 사료된다.

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Analysis of Regional Geologic hazards using GIS (지질재해 분석을 위한 GIS 응용연구)

  • 김윤종;김원영;유일현
    • Spatial Information Research
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    • v.1 no.1
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    • pp.89-94
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    • 1993
  • GIS was appl ied for analysis of the potfnt ial degree of regional geologic hazard, expecially landslide, in the suburb of Seoul city. Potential elements causing a landslide are geology, slope geometry, groundwater, soil property, rainfall and vegetation etc. These factors were incorporated through GIS in order to predict the potential hazards, and to produce a regional geologic hazard map in the study area, For this study, ARC/INFO and ERDAS systems were used in SUN4-390 workstation.

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A Sensitivity Analysis of JULES Land Surface Model for Two Major Ecosystems in Korea: Influence of Biophysical Parameters on the Simulation of Gross Primary Productivity and Ecosystem Respiration (한국의 두 주요 생태계에 대한 JULES 지면 모형의 민감도 분석: 일차생산량과 생태계 호흡의 모사에 미치는 생물리모수의 영향)

  • Jang, Ji-Hyeon;Hong, Jin-Kyu;Byun, Young-Hwa;Kwon, Hyo-Jung;Chae, Nam-Yi;Lim, Jong-Hwan;Kim, Joon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.12 no.2
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    • pp.107-121
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    • 2010
  • We conducted a sensitivity test of Joint UK Land Environment Simulator (JULES), in which the influence of biophysical parameters on the simulation of gross primary productivity (GPP) and ecosystem respiration (RE) was investigated for two typical ecosystems in Korea. For this test, we employed the whole-year observation of eddy-covariance fluxes measured in 2006 at two KoFlux sites: (1) a deciduous forest in complex terrain in Gwangneung and (2) a farmland with heterogeneous mosaic patches in Haenam. Our analysis showed that the simulated GPP was most sensitive to the maximum rate of RuBP carboxylation and leaf nitrogen concentration for both ecosystems. RE was sensitive to wood biomass parameter for the deciduous forest in Gwangneung. For the mixed farmland in Haenam, however, RE was most sensitive to the maximum rate of RuBP carboxylation and leaf nitrogen concentration like the simulated GPP. For both sites, the JULES model overestimated both GPP and RE when the default values of input parameters were adopted. Considering the fact that the leaf nitrogen concentration observed at the deciduous forest site was only about 60% of its default value, the significant portion of the model's overestimation can be attributed to such a discrepancy in the input parameters. Our finding demonstrates that the abovementioned key biophysical parameters of the two ecosystems should be evaluated carefully prior to any simulation and interpretation of ecosystem carbon exchange in Korea.

Numerical Simulation of Local Circulation Over the Daechung Lake Area by Using the Mesoscale Model (중규모 수치 모델을 이용한 대청 호수 주변의 국지 순환 모의)

  • Byon, Jae-Young;Choi, Young-Jean;Seo, Beom-Keun
    • Journal of the Korean earth science society
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    • v.30 no.4
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    • pp.464-477
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    • 2009
  • In this study, we examined the patterns of local circulation over the Daechung lake area through the numerical experiment designed to investigate the impact of lake on the local circulation. The results of numerical experiment showed that the surface temperature predicted by WRF model was lower than the observation, while the wind speed was stronger than the observation. The local circulation over the lake area was characterized by a lake breeze induced by a horizontal thermal contrast between the lake surface and the Surrounding land. At Daecheong Lake, a lake breeze formed at 09 LST and dissipated at 18 LST, with maximum intensity at 15 LST. The vertical extent of the simulated circulation was about 1,200 m. The specific humidity increased as the humid air above the lake moved landward due to the daytime circulation of the lake breeze. The numerical experiments of sensitivity to existence of the lake showed that the simulated surface temperature decreased in the experiment with the lake. Wind speed was more intense around the lake area when the actual land use was substituted by grassland land use. The results of numerical experiments suggest that the lake-induced lake breeze circulation has an effect on the meteorology of planetary boundary layer around the lake.

Extraction and Utilization of DEM based on UAV Photogrammetry for Flood Trace Investigation and Flood Prediction (침수흔적조사를 위한 UAV 사진측량 기반 DEM의 추출 및 활용)

  • Jung-Sik PARK;Yong-Jin CHOI;Jin-Duk LEE
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.4
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    • pp.237-250
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    • 2023
  • Orthophotos and DEMs were generated by UAV-based aerial photogrammetry and an attempt was made to apply them to detailed investigations for the production of flood traces. The cultivated area located in Goa-eup, Gumi, where the embankment collapsed and inundated inundation occurred due to the impact of 6th Typhoon Sanba in 2012, was selected as rhe target area. To obtain optimal accuracy of UAV photogrammetry performance, the UAV images were taken under the optimal placement of 19 GCPs and then point cloud, DEM, and orthoimages were generated through image processing using Pix4Dmapper software. After applying CloudCompare's CSF Filtering to separate the point cloud into ground elements and non-ground elements, a finally corrected DEM was created using only non-ground elements in GRASS GIS software. The flood level and flood depth data extracted from the final generated DEM were compared and presented with the flood level and flood depth data from existing data as of 2012 provided through the public data portal site of the Korea Land and Geospatial Informatix Corporation(LX).