• Title/Summary/Keyword: DEM(Digital Elevation Model)

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Application of TOPMODEL at Artificially Drained Watershed (인공배수유역에서의 TOPMODEL의 적용)

  • Kim, Sang-Hyeon
    • Journal of Korea Water Resources Association
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    • v.30 no.5
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    • pp.539-548
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    • 1997
  • A physically based model for rainfall runoff simulation in agricultural watershed equipped with tile drains is presented. This model is developed from the TOPMODEL which is based on the detailed topographic information provided by Digital Elevation Model (DEM). Nine possible flow generation scenarios in the tile drained basin are suggested and used in the development of the model. The model can identify the portions of the hydrograph resulting from tile flow, subsurface flow and surface flow. The performance of the model is assessed through a calibration and validation process. The results of the analysis show that the model describes the physical system well and provides a better insight into the hillslope hydrology of agricultural watersheds with tile drainage.

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Three Dimensional Analysis Using Digital Elevation Model on the Coastal Landform of the Sacheon Bay, South Sea of Korea (수치고도 모델을 이용한 사천만 해안지역의 3차원 지형분석)

  • Lee, Min-Boo;Kim, Nam-Shin;Han, Kyun-Hyeung
    • Journal of the Korean association of regional geographers
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    • v.9 no.2
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    • pp.203-216
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    • 2003
  • The process of constructing coastal digital elevation model(DEM), for the 3 dimensional analysis, is composed by abstracting land layers for land elevation and water depth, reprojecting UTM, relocating geographical grid, and interpolating works. The geomorphic set of shallow sea, including tidal current, tidal zone deposition, and water depth distribution, was analyzed by eye search of Landsat TM image, masking of land zone, band combination and regression analysis. Some horizontal differences, between combined DEM and surveyed data of shallow sea, was corrected for analysis. Analyzed geomorphic elements are stream channel, alluvial fan, coastal terrace, tidal current. and shallow sea bank. Results of analysis present that transported fluvial materials influence tidal sedimentation, especially from Gahwacheon river, for the role of artificial draining flooding waters from Jinyang Reservoir, almost in the summer season. In the coastal area with less tidal current, more fine materials are deposited. The influence of currental deposition are higher on small pockets with west coast of well developed terraces. The lower skirt of alluvial fans developed into the tidal zone of shallow sea. Small pocket type bays are closed by coastal current, and less influenced from tidal deposition. The bank of Jinju Bay are developed originally from submerging of remnant erosional mountain ranges, and play on the role of trapping fine materials.

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Assessment of DEM Generated by Stereo C-band and X-band SAR images using Radargrammetry (Radargrammetry를 이용한 C-밴드 및 X-밴드 SAR 위성영상의 DEM 생성 평가)

  • Song, Yeong Sun;Kim, Gi Hong
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.4
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    • pp.109-116
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    • 2013
  • To extract the 3D geometric information from SAR(Synthetic Aperture Radar) images, two different techniques, interferometric SAR and radargrammetry, have been widely used. InSAR is most widely used for the generation of precise DEM(Digital Elevation Model) until now. But, Interferometric SAR requires severe temporal correlation over areas covered with vegetation and high relief areas. Because radargrammetry is less sensible to temporal correlation, it can provide better results than interferometric SAR in certain, especially X-band SAR. In this paper, we assess the properties of DEMs generated by radargrammetry using stereo C-band RADARSAT-1 images and X-band TerraSAR-X images.

Comparison of Drone and Terrestrial LiDAR DEM generation data for Analyzing Estuary Topographic Changes (하구부 지형변화 분석을 위한 드론과 지상LiDAR DEM 생성자료의 비교)

  • Lee, Jeong Hoon;Jun, Kye Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.140-140
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    • 2017
  • 최근 기후변화에 따른 태풍과 국지성 집중호우의 증가로 국토의 64%가 산지인 우리나라에서는 재해의 위험성을 증가시키고 있다. 재해 분석에 있어 기초자료로 사용되는 지형자료의 정확도는 재해분석결과에 있어 중요하며, 지형촬영방법에 따라 정확도의 차이가 매우 크다. 지형자료 중 하나인 DEM(Digital Elevation Model) 활용분야 또한 확대되고 있고 지도제작에 있어 DEM을 사용하면 지형도를 신속히 제작할 수 있고, 편집 용이, 수작업 인원 감축, 정확도 향상 및 데이터베이스의 구축이 이루어져 체계적으로 종합적인 지형정보를 관리할 수 있는 장점이 있다. 지상 LiDAR를 이용하여 생성한 DEM은 매우 정확한 방법이며, 접촉식 측량장비에 비하여 누락되는 데이터가 적으며 정밀하게 자료를 수집가능 한 것이 장점이다. 지상LiDAR를 이용한 자료 취득 시식생과 구조물에 의해 촬영 각도가 제한되는 경우 충분한 자료를 얻기 위해 여러 위치에서 스캔이 필요하다. 한편 전 세계적으로 드론의 도입으로 인해 다양한 분야에서 높은 가능성을 가지고 활용되고 있는 실정이며, 드론을 이용한 연구들도 활발히 진행 중이다. 소규모 및 중간 규모의 하천, 산지 등의 현장 조사의 경우 LiDAR장비의 진입이 어려운 구간의 촬영 시 드론을 활용하면 보다 효율적일 것으로 예상된다. 이에 따라 본 연구는 지상LiDAR와 드론을 이용하여 얻은 DEM 자료를 비교 분석하여 드론으로 생성된 DEM 자료 활용 가능성 여부를 검토하였다. 본 연구에서는 동일한 지역에 지상LiDAR와 드론 촬영을 실시하여 지형자료를 각각 획득한 후 후처리 프로그램을 이용하여 영상분석을 실시하였다. 또한 측점을 선정한 후 지형 좌표의 편차, 표고의 편차 등을 비교분석하였다.

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Development of an Automatic Generation Methodology for Digital Elevation Models using a Two-Dimensional Digital Map (수치지형도를 이용한 DEM 자동 생성 기법의 개발)

  • Park, Chan-Soo;Lee, Seong-Kyu;Suh, Yong-Cheol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.3
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    • pp.113-122
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    • 2007
  • The rapid growth of aerial survey and remote sensing technology has enabled the rapid acquisition of very large amounts of geographic data, which should be analyzed using real-time visualization technology. The level of detail(LOD) algorithm is one of the most important elements for realizing real-time visualization. We chose the triangulated irregular network (TIN) method to generate normalized digital elevation model(DEM) data. First, we generated TIN data using contour lines obtained from a two-dimensional(2D) digital map and created a 2D grid array fitting the size of the area. Then, we generated normalized DEM data by calculating the intersection points between the TIN data and the points on the 2D grid array. We used constrained Delaunay triangulation(CDT) and ray-triangle intersection algorithms to calculate the intersection points between the TIN data and the points on the 2D grid array in each step. In addition, we simulated a three-dimensional(3D) terrain model based on normalized DEM data with real-time visualization using a Microsoft Visual C++ 6.0 program in the DirectX API library and a quad-tree LOD algorithm.

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An Interpolation Method for Internal Points of a Single Closed Countour Line (닫혀진 단일 등고선 내부점의 보간법)

  • 고광현;구자영
    • Korean Journal of Remote Sensing
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    • v.14 no.2
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    • pp.129-136
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    • 1998
  • This paper deals with a problem encountered in the course of constructing digital elevation model from a contour map. Deficiencies of widely used linear interpolation method is described, and an interpolation method for internal points of a single closed contour is proposed. Control points not on a plane are searched and interpolated. The method is applied to an artificial contour lines and real contour lines. The result shows natural and accurate reconstruction.

Application of KOMPSAT-5 SAR Interferometry by using SNAP Software (SNAP 소프트웨어를 이용한 KOMPSAT-5 SAR 간섭기법 구현)

  • Lee, Hoonyol
    • Korean Journal of Remote Sensing
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    • v.33 no.6_3
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    • pp.1215-1221
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    • 2017
  • SeNtinel's Application Platform (SNAP) is an open source software developed by the European Space Agency and consists of several toolboxes that process data from Sentinel satellite series, including SAR (Synthetic Aperture Radar) and optical satellites. Among them, S1TBX (Sentinel-1 ToolBoX)is mainly used to process Sentinel-1A/BSAR images and interferometric techniques. It provides flowchart processing method such as Graph Builder, and has convenient functions including automatic downloading of DEM (Digital Elevation Model) and image mosaicking. Therefore, if computer memory is sufficient, InSAR (Interferometric SAR) and DInSAR (Differential InSAR) perform smoothly and are widely used recently in the world through rapid upgrades. S1TBX also includes existing SAR data processing functions, and since version 5, the processing capability of KOMPSAT-5 has been added. This paper shows an example of processing the interference technique of KOMPSAT-5 SAR image using S1TBX of SNAP. In the open mine of Tavan Tolgoi in Mongolia, the difference between DEM obtained in KOMPSAT-5 in 2015 and SRTM 1sec DEM obtained in 2000 was analyzed. It was found that the maximum depth of 130 meters was excavated and the height of the accumulated ore is over 70 meters during 15 years. Tidal and topographic InSAR signals were observed in the glacier area near Jangbogo Antarctic Research Station, but SNAP was not able to treat it due to orbit error and DEM error. In addition, several DInSAR images were made in the Iraqi desert region, but many lines appearing in systematic errors were found on coherence images. Stacking for StaMPS application was not possible due to orbit error or program bug. It is expected that SNAP can resolve the problem owing to a surge in users and a very fast upgrade of the software.

Analysis of Erosion and Deposition by Debris-flow with LiDAR (지상 LiDAR를 이용한 토석류 발생에 의한 침식, 퇴적량 측정)

  • Jun, Byong-Hee;Jang, Chang-Deok;Kim, Nam-Gyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.2
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    • pp.54-63
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    • 2010
  • The intensive rainfall over 455 mm occurred between on 9 to 14 July 2009 triggered debris flows around the mountain area in Jecheon County. We mapped the debris flow area and estimated the debris flow volume using a high resolution digital elevation model (DEM) generated respectively from terrestrial LiDAR (Light Detection And Ranging) and topographic maps. For the LiDAR measurement, the terrestrial laser scanning system RIEGL LMS-Z390i which is equipped with GPS system and high-resolution digital camera were used. After the clipping and filtering, the point data generated by LiDAR scanning were overlapped with digital map and produced DEM after debris flow. The comparison between digital map and LiDAR scanning result showed the erosion and deposition volumes of about $17,586m^3$ and $7,520m^3$, respectively. The LiDAR data allowed comprehensive investigation of the morphological features present along the sliding surface and in the deposit areas.

DEM Extraction from LiDAR DSM of Urban Area (도시지역 LiDAR DSM으로부터 DEM추출기법 연구)

  • Choi, Yun-Woong;Cho, Gi-Sung
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.1 s.31
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    • pp.19-25
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    • 2005
  • Nowadays, it is possible to construct the DEMs of urban area effectively and economically by LiDAR system. But the data from LiDAR system has form of DSM which is included various objects as trees and buildings. So the preprocess is necessary to extract the DEMs from LiDAR DSMs for particular purpose as effects analysis of man-made objects for flood prediction. As this study is for extracting DEM from LiDAR DSM of urban area, we detected the edges of various objects using edge detecting algorithm of image process. And, we tried mean value filtering, median value filtering and minimum value filtering or detected edges instead of interpolation method which is used in the previous study and could be modified the source data. it could minimize the modification of source data, and the extracting process of DEMs from DSMs could be simplified and automated.

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Hydrologic Modeling of an Agricultural Watershed with Tile Drains and GIS (Tile Drain 의 영향과 GIS를 연계한 농경지 유역에 대한 수문학적 모의)

  • Kim, Sang- Hyun;Son, Kwang-Ik;Han, Kun Yeun
    • Water for future
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    • v.29 no.6
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    • pp.203-215
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    • 1996
  • A physically based model for rainfall-runoff simulation in agricultural watersheds equipped with tile drains is developed from the TOPMODEL framework. The model is based on detailed topographical information provided by the Digital Elevation Model (DEM), which is available in the Geographic Information System GRASS. Nine possible flow generation scenarions are suggested and used in the development of the model. The storage and delaying effects in the soil matrix and in the tile system are simulated with a second order linear reservoir. The model can identify the portions of the hydrators resulting from tile flow, subsurface flow and surface runoff.

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