• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.106-114
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• 2018

DEM(Digital Elevation Model) are now easily produced with advancing remote sensing technology. Depending on desired task, UAV can produce high resolution DEM. But high resolution comes with issues of data storage and processing time and cost. To check the effect of DEM resolution, this study compares six geomorphological parameters derived from different resolution DEM in a test area around Chuncheon, Korea. The comparison analysis was based on statistics of each derivatives of slope, curvature, flow direction, flow accumulation, flow length and basin. As a result, it was found that DEM remained unchanged and so did the flow accumulation area. However, slope, curvature, flow length and basin numbers were decreased with the normalization of increasing pixel size. DEM resolution should be carefully selected depending on the precision of application required.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.223-223
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• 2022

최근 도시지역의 홍수피해가 증가함에 따라 홍수방어대책이 중요해지고 있다. 제방 축조 및 배수시설 개선 등의 구조적 대책이 우선되어야 하나, 계획빈도 이상의 호우로 인한 피해 발생시 인명피해 및 재산피해를 최소화하기 위한 비구조적 대책 또한 중요한 실정이다. 본 연구에서는 도시지역의 비구조적 대책 수립을 위해 하천 제방 붕괴로 인한 홍수범람 해석을 수행하였다. 도시지역의 홍수범람 해석은 일반적으로 확산형의 흐름 특성을 가져, 홍수의 잠재성이 크다고 판단되는 도시지역에 대해 확산형 범람 해석을 통해 홍수의 전파양상을 심층적으로 검토할 수 있는 Flumen 모형을 적용하였다. "홍수위험지도 작성에 관한 지침(2020, 환경부)"에서는 2차원(확산형) 홍수범람 분석시 LiDAR 기반 1m급 DEM 자료를 권장하고 있으나, 영산·섬진강권역(제주도 포함) 내 1m급 DEM 자료는 약 11,320km²가 구축되어 전체면적(17,756km²) 대비 64%만 구축되어 도시지역 전체 적용에 한계가 있다. 본 연구에서는 도시지역과 농경지가 포함된 도시지역(농촌형 도심지역)을 대상으로 1m급 DEM과 5m급 DEM을 구분하여 2차원(확산형) 홍수범람 분석을 수행하였다. 도시지역으로는 지방하천 순천동천이 관류하는 순천시가지를 선정하였고, 농촌형 도심지역으로는 지방하천 광치천이 관류하는 남원시가지를 선정하였다. 2차원 홍수범람 해석을 위해 주요 지점별 파제 시나리오는 각 지구별 동일하게 작성하였으며, DEM 자료에 따른 검토 결과, 도시지역의 경우 지하차도 등과 같은 시설로 인한 차이가 발생하였으나, 농촌형 도시지역의 경우 DEM 해상도에 따른 침수양상 및 면적 차이가 크지 않은 것으로 검토되어 농촌형 도시지역의 경우 5m급 DEM 자료의 활용이 가능한 것으로 검토되었다. 추후 전국 지방·도시하천에 대한 홍수위험지도 제작이 완료된다면 홍수로 인한 침수피해에 대해 사전에 대비하고, EAP, 재해지도 제작, 수해방지대책 수립 등 관련 계획수립 시 기초자료로 활용이 가능할 것이다.

• Journal of Korea Water Resources Association
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• v.47 no.9
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• pp.767-776
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• 2014

Changes in climate have largely increased concentrated heavy rainfall, which in turn is causing enormous damages to humans and properties. Floods are one of the most deadly and damaging natural disasters known to mankind. The flood forecasting and warning system concentrates on reducing injuries, deaths, and property damage caused by floods. Therefore, the exact relationship and the spatial variability analysis of hydrometeorological elements and characteristic factors is critical elements to reduce the uncertainty in rainfall-runoff model. In this study, grid resolution depending on the topographic factor in rainfall-runoff models presents how to respond. semi-distribution of rainfall-runoff model using the model GRM simulated and calibrated rainfall-runoff in the Gamcheon and Naeseongcheon watershed. To run the GRM model, input grid data used rainfall (two event), DEM, landuse and soil. This study selected cell size of 500 m(basic), 1 km, 2 km, 5 km, 10 km and 12 km. According to the resolution of each grid, in order to compare simulation results, the runoff hydrograph has been made and the runoff has also been simulated. As a result, runoff volume and peak discharge which simulated cell size of DEM 500 m~12 km were continuously reduced. that results showed decrease tendency. However, input grid data except for DEM have not contributed increase or decrease runoff tendency. These results showed that the more increased cell size of DEM make the more decreased slope value because of the increased horizontal distance.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1201-1205
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• 2010

최근 몇 년간 기후변화에 의해 기상이변이 발생하고 있으며 이에 따른 집중호우로 인한 홍수피해가 심각한 수준으로 발생하고 있다. 이에 수문기상학적 요소와 특성인자들의 정확한 상호 연관성의 규명과 공간적 변동성 해석은 강우-유출 모형에서 발생하는 불확실성을 감소시키는데 중요한 요소라고 할 수 있다. 이에 본 연구에서는 레이더 강우 격자 해상도와 지형인자 격자 해상도에 따라 강우-유출모형이 어떻게 반응하는지 분석하였다. 본 연구에서는 가-분포 강우-유출 모형인 ModClark 모형을 이용하여 강원도 인제군의 내린천 유역을 대상으로 광덕산 레이더자료를 이용하였다. ModClak 모형 구성을 위한 GIS 지형공간 자료는 30m, 150m, 250m, 350m 격자크기의 DEM을 사용하였으며, 2006년 7월 14일부터 7월 17일까지의 관측레이더 강우자료를 500m, 1km, 2km, 5km, 10km 사용하여 유출모의를 실시하고, 각각의 격자해상도에 따른 모의 결과를 비교하기 위해 유출수문곡선을 작성하고 유출량 변화를 모의하였다. 분석 결과 첨두유량 및 유출체적에 대해서는 DEM 30m~150m, Grid 500m~2,000m 크기의 격자일 때 가장 최적의 유출 모의를 한 것으로 분석되었으며, 통계적 분석에 의한 분석결과에서는 모든 DEM 격자는 Grid 500m인 경우, 모든 Grid 격자는 DEM 30m인 경우에 모형의 적합성이 높은 것으로 나타났고, 민감도 산정 결과 지수 등급이 높은 DEM이 분포형 모형의 결과 값에 큰 영향을 주는 것으로 분석되었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.1
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• pp.1-11
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• 2003

In this study, TOPMODEL(TOPography based hydrologic MODEL) was tested linked with Muskingum river routing technique for $581.7km^2$ Anseong-cheon watershed. Linear trend surface interpolation was used to give flow direction for flat areas located in downstream watershed. MDF (multiple flow direction) algorithm was adopted to derive the distribution of ln(a/$tan{\beta}$) values of the model. Because the coarser DEM resolution, the greater information loss, the watershed was divided into subwaterhseds to keep DEM resolution, and the simulation result of the upstream watershed was transferred to downstream watershed by Muskingum techniques. Relative error of the simulated result by 500 m DEM resolution showed 27.2 %. On the other hand, the relative error of the simulated result of 300 m DEM resolution by linked 2 subwatersheds with Muskingum method showed 15.8 %.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.61-66
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• 2009

This Paper describes a new program called DEM Generator need to process DEM from LiDAR data or digital map data. It is difficult to generate raster DEM from LiDAR mass point data sets and digital maps too large to fit into memory. The DEM Generator was designed to process DEM and shaded relief image of GeoTiff format in order of streaming meshes; I/O minimize tag, delaunay triangle, natural neighborhood or TIN, temporary files and grid. It is expected that we can be improved the precision of DEM and solved the time consuming problem of DEM generating of a wider area.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.277-280
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• 2006

항공사진이나 인공위성 영상을 이용하여 DEM을 생성하는 연구는 전통적으로 사진측량학 분야에서 이루어져 왔다. 즉, 항공기 및 위성을 이용하여 획득한 입체의 영상자료를 이용하여 DEM을 생성하는 기법은 전통적으로 행해져 왔고 최근에 들어서는 LIDAR를 이용하여 1m 급 이상의 정밀 DEM이 획득되고 있다. 그러나 자국 이외 지역에 대한 DEM 자료를 획득하는 일은 위성 및 항공기를 이용한 입체쌍의 영상자료, 기준점 등의 자료를 얻기가 힘들기 때문에 공간해상도가 90m인 USGS에서 제공하는 SRTM자료를 활용해야 하는 등 제한적이다. 이에, 본 연구에서는 공간해상도 15m의 DEM 생성이 가능한 ASTER 영상을 이용하여 중국지역에 대한 정밀 DEM을 생성하고자 하였다. ASTER 영상은 가시광선대, 적외선대 및 열밴드의 정보를 제공하고 있을 뿐만 아니라 DEM 제작을 위하여 위성진행 경로에 정방향 및 역방향의 입체 영상을 제공하고 있다. 이러한 ASTER 영상의 센서 정보와 접합점을 이용하여 DEM을 생성하였고, 이를 SRTM 자료와 동기화 하여 두 자료를 비교 분석하였다.

• Journal of Wetlands Research
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• v.13 no.1
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• pp.105-116
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• 2011

Changes in climate have largely increased concentrated heavy rainfall, which in turn is causing enormous damages to humans and properties. Therefore, the exact relationship and the spatial variability analysis of hydrometeorological elements and characteristic factors is critical elements to reduce the uncertainty in rainfall -runoff model. In this study, radar rainfall grid resolution and grid resolution depending on the topographic factor in rainfall - runoff models were how to respond. In this study, semi-distribution of rainfall-runoff model using the model ModClark of Inje, Gangwon Naerin watershed was used as Gwangdeok RADAR data. The completed ModClark model was calibrated for use DEM of cell size of 30m, 150m, 250m, 350m was chosen for the application, and runoff simulated by the RADAR rainfall data of 500m, 1km, 2km, 5km, 10km from 14 to 17 on July, 2006. According to the resolution of each grid, in order to compare simulation results, the runoff hydrograph has been made and the runoff has also been simulated. As a result, it was highly runoff simulation if the cell size is DEM 30m~150m, RADAR rainfall 500m~2km for peak flow and runoff volume. In the statistical analysis results, if every DEM cell size are 500m and if RADAR rainfall cell size is 30m, relevance of model was higher. Result of sensitivity assessment, high index DEM give effect to result of distributed model. Recently, rainfall -runoff analysis is used lumped model to distributed model. So, this study is expected to make use of the efficiently decision criteria for configurated models.

• Korean Journal of Remote Sensing
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• v.34 no.3
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• pp.439-450
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• 2018

The lineament is a linear or curved terrain element to discriminate adjacent geological structures in each other. It has been widely used for analysis of geology, mineral exploration, natural disasters, and earthquake, etc. In the past, the lineament has been extracted using cartographic map or field survey. However, it is possible to extract more efficiently the lineament for a very wide area thanks to development of remote sensing technique. Remotely sensed observation by aircraft, satellite, or digital elevation model (DEM) has been used for visual recognition for manual lineament extraction. Automatic approaches using computer science have been proposed to extract lineament more objectively. In this study, we evaluate the characteristics of lineament which is automatically extracted with respect to difference of spatial resolution of DEM. We utilized two types of DEM: one is Shuttle Radar Topography Mission (SRTM) with spatial resolution of about 90 m (3 arc sec), and the other is the latest world DEM of TerraSAR-X add-on for Global DEM with 12 m spatial resolution. In addition, a global DEM was resampled to produce a DEM with a spatial resolution of 30 m (1 arc sec). The shaded relief map was constructed considering various sun elevation and solar azimuth angle. In order to extract lineament automatically, we used the LINE module in PCI Geomatica software. We found that predominant direction of the extracted lineament is about $N15-25^{\circ}E$ (NNE), regardless of spatial resolution of DEM. However, more fine and detailed lineament were extracted using higher spatial resolution of DEM. The result shows that the lineament density is proportional to the spatial resolution of DEM. Thus, the DEM with appropriate spatial resolution should be selected according to the purpose of the study.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.33-42
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• 2003

As airborne laser scanning technique is developed with high vertical accuracy recently, there come many studies on DEM(digital elevation model creation, building extraction, flood risk mapping and 3D virtual city modeling. This study applied point comparative method, contour comparative method and digital map with scale 1/5,000 to calculate RMSE of DEM in according to resolution that was constructed using rawdata being acquired by airborne laser scanning. As a result, point comparative method showed lower DEM standard error than contour comparative method, it is a reason that contour comparative method was not carried out detailed grid calculation for point comparative method. Also, digital map with scale 1/5,000 showed higher DEM standard error than point comparative method and contour comparative method in below 25.4m that is average horizontal distance among contour line, and showed similar result with contour comparative method in over 25.4m.