• Title/Summary/Keyword: Digital elevation

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Analysis of Topographic Environment for Urban Forest Area in Taejon City Using Landsat - 5 TM and Digital Terrain Elevation Data (Landsat-5 TM과 수치지형데이타를 이용한 도시내 산림의 지형환경 분석 - 대전시를 중심으로 -)

  • 장관순
    • Korean Journal of Environment and Ecology
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    • v.10 no.1
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    • pp.58-65
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    • 1996
  • The environment in urban are becoming worse and forest is being recognized the major part of city by the increase of population and facilities. This study was carried out to analyze topographic environment as the basis for reasonable management and utility of forest situated in Taejon city and its vicinities using Sandst-5 TM and digital terrain elevation data(DTED). Forest area was extracted by Landsat-5 TM data. Distribution of elevation, slope and aspect was derived from digital terrain elevation data. The research area to analyze ropographic environment for urban forest were Bomumsan, Bongsan, Kabhasan, Sikchangsan, and Kyechoksan. Forest, the largest area in Taejon covers 55.1% of totaf area. This is more 5 times than urban area. 70.8% of forest area in Taejon city is located in elevation of lower than 200m and 4.8% of that is located in elevation of upper than 400m. Distribution of elevation is 45.7% of total area for 100m to 200m in Kyechoksan and is 92.4% of total area for lower than 300m in Bomumsan. Elevation of upper than 300m is 20.4% of total area in Kabhasan and is 46.6% of total area in Sikchangsan. The slope of more 20 digree is over 50% of total area in every area except for Bonsan and 35.2% of total area in Sikchangsan and Kahasan than in Bomumsan and Kyechoksan.

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Utilizing Digital Close-Range Images for Road Slope Monitoring (도로사면의 모니터링을 위한 근거리 디지털 영상의 활용)

  • 이진덕;연상호;이호찬
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.151-160
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    • 2004
  • This research addresses the experimental application of the digital close-range photogrammetric technique for 3D deformation measurement and visualization of road slope. The 3D displacements were extracted by the photo-triangulation based on the bundle adjustment method using the digital imagery. In addition, we produced the digital elevation models, the digital orthorectified images and the 3D perspective view images of the slope employing a digital photogrammetric workstation. Also the inclination map of the slope was generated as the data for monitoring and managing dangerous slopes.

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Land cover classification using LiDAR intensity data and neural network

  • Minh, Nguyen Quang;Hien, La Phu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.4
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    • pp.429-438
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    • 2011
  • LiDAR technology is a combination of laser ranging, satellite positioning technology and digital image technology for study and determination with high accuracy of the true earth surface features in 3 D. Laser scanning data is typically a points cloud on the ground, including coordinates, altitude and intensity of laser from the object on the ground to the sensor (Wehr & Lohr, 1999). Data from laser scanning can produce products such as digital elevation model (DEM), digital surface model (DSM) and the intensity data. In Vietnam, the LiDAR technology has been applied since 2005. However, the application of LiDAR in Vietnam is mostly for topological mapping and DEM establishment using point cloud 3D coordinate. In this study, another application of LiDAR data are present. The study use the intensity image combine with some other data sets (elevation data, Panchromatic image, RGB image) in Bacgiang City to perform land cover classification using neural network method. The results show that it is possible to obtain land cover classes from LiDAR data. However, the highest accurate classification can be obtained using LiDAR data with other data set and the neural network classification is more appropriate approach to conventional method such as maximum likelyhood classification.

A Study on Triangulated Irregular Network Generation Method for GSIS (지형공간정보체계의 이용을 위한 불규칙삼각망 생성기법에 관한 연구)

  • 유복모;장지원;윤정학
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.12 no.2
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    • pp.209-218
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    • 1994
  • This study aims to generate triangulated irregular network in a form of digital terrain model which is being increasingly used. In general, grid digital elevation model and triangulated irregular network are reasonable units for solving terrain problems. But, triangulated irregular network is an efficient alternative to grid digital elevation model because of their efficiency in storing data and their convenient data structure for accommodating irregularly spaced elevation data. Various methods represented for extracting triangulated irregular networks from grid digital elevation model, and then algorithm that get accurate results for triangulation with their data set was introduced. The new approach for triangulation in this study uses the Elevation and Changeable Distance criterion, and adding interpolation points and restricted constraint lines can generate triangulated irregular network which is more close to real surface. This made database efficient construction and could be used for many applications of geo-spatial information system.

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A study of Accuracy Assessment of Digital Elevation Model in the Greenland (그린란드 수치표고모델의 수직정확도 검증에 관한 연구)

  • Park, Ho Joon;Choi, Yun Soo;Kim, Jae Myeong
    • Spatial Information Research
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    • v.22 no.4
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    • pp.59-65
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    • 2014
  • Recently, increasing demand for 'Digital Elevation Model(DEM)' to climate change research and various development by global warming in the Arctic region. So we need to verify the accuracy to utilize DEM. In this research, we verified 'ASTER GDEM' and 'GIMP DEM' in several DEM which constructed in the Greenland that most of the area is covered ice sheet. We divided greenland into two part, ice sheet area and non ice sheet area by using the ESA globcover. Then, comparing a difference between 'ASTER DEM', 'GIMP DEM' and ICESat elevation data to verify the accuracy. As a result, GIMP DEM has higher accuracy in ice sheet area and ASTER GDEM has higher accuracy in non-ice sheet area.

Construction of 3D Geospatial Information for Development and Safety Management of Open-pit Mine (노천광산 개발 및 안전관리를 위한 3차원 지형정보 구축 및 정확도 분석)

  • Park, Joon Kyu;Jung, Kap Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.1
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    • pp.43-48
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    • 2020
  • Open pit mines for limestone mining require rapid development of technologies and efforts to prevent safety accidents due to rapid deterioration of the slope due to deforestation and rapid changes in the topography. Accurate three-dimensional spatial information on the terrain should be the basis for reducing environmental degradation and safe development of open pit mines. Therefore, this study constructed spatial information about open pit mine using UAV(Unmanned Aerial Vehicle) and analyzed its utility. images and 3D laser scan data were acquired using UAV, and digital surface model, digital elevation model and ortho image were generated through data processing. DSM(Digital Surface Model) and ortho image were constructed using image obtained from UAV. Trees were removed using 3D laser scan data and numerical elevation models were produced. As a result of the accuracy analysis compared with the check points, the accuracy of the digital surface model and the digital elevation model was about 11cm and 8cm, respectively. The use of three-dimensional geospatial information in the mineral resource development field will greatly contribute to effective mine management and prevention of safety accidents.

A Study on the Smoothing of Digital Elevation Model by Finite Element Method - in Mt. Sorak Area - (유한요소법에 의한 수치표고모델의 유형화에 관한 연구 -설악산 지역을 중심으로 -)

  • Choi, Seung Pil;Yang, In Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.12 no.3
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    • pp.163-171
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    • 1992
  • The narrow interal grid is effective in accuracy, but it is not able to make a densely grided sample, so that smoothing is requared. In digital elevation models, an application of the finite elements method is effective to smooth the undesired noise which is generated in aquisition of elevation data. And this is one of the simple and direct method to solve the problem for discontinuity of terrain. Therefore, the finite elements method is applied to study. In digital elevation model by appling the finite element, smoothing is affected by the height weight. In this study, the relation equation between elevation weight and standard deviation of smoothing was obstained as Y = 1900625 $X^4-312987.6$ $X^3+20330.72$ $X^2-578.6029$ X+12.63772 and from this function, Optimum elevation weight is 0.05.

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A Study on Interpolation methods and size of grid to the various topographical characteristics for the construction of DEM(Digital Elevation Model) (수치표고모형(DEM) 구축을 위한 지형별 보간 방법 및 격자크기에 관한 연구)

  • Woo, Je-Yoon;Koo, Jee-Hee;Hong, Chang-Hee;Kim, Tae-Hoon
    • Journal of Korea Spatial Information System Society
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    • v.3 no.2 s.6
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    • pp.5-19
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    • 2001
  • We are able to construct and utilize DEM(Digital Elevation Model) throughout the NGIS(National Geographic Information System) project. It is important that interpolation methods and appreciate size of grid for the construction of accurate DEM(Digital Elevation Model). There were several references related to the DEM(Digital Elevation Model) construction method, however they couldn't consider various topographical characteristics in the korea. In this study, we recommended that suitable interpolation method for each topographic element. After dividing Poonggi area into mountain, hill, urban, agricultural land, we constructed DEM(Digital Elevation Model) with various interpolation methods and grid size using 1:5,000 digital map. Then evaluated accuracy using elevation data which extracted from air-photo. The interpolation methods were analyzed and compared for various topographical conditions. As a result, Kriging method was superior to TIN method for all the topographical conditions. Another experiment was performed to examine optimal grid space for DEM with each topographical condition. 10m grid space was most suitable for mountain area and hilly districts, while 30m grid space was most suitable for urban area and farm land.

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3D Line Segment Extraction Based on Line Fitting of Elevation Data

  • Woo, Dong-Min
    • Journal of IKEEE
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    • v.13 no.2
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    • pp.181-185
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    • 2009
  • In this paper, we are concerned with a 3D line segment extraction method by area-based stereo matching technique. The main idea is based on line fitting of elevation data on 2D line coordinates of ortho-image. Elevation data and ortho-image can be obtained by well-known area-based stereo matching technique. In order to use elevation in line fitting, the elevation itself should be reliable. To measure the reliability of elevation, in this paper, we employ the concept of self-consistency. We test the effectiveness of the proposed method with a quantitative accuracy analysis using synthetic images generated from Avenches data set of Ascona aerial images. Experimental results indicate that our method generates 3D line segments almost 7.5 times more accurate than raw elevations obtained by area-based method.

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A Study on the Generation of Digital Elevation Model from IRS-1C Satellite Image Data (IRS-1C 위성데이타를 이용한 수치표고모델 생성에 관한 연구)

  • 안기원;이효성;서두천;신석효
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.17 no.3
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    • pp.293-300
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    • 1999
  • The study aims to develope techniques for generating digital elevation model(DEM) from IRS-1C PAN stereo image data. The bundle adjustment technique was used to determine the satellite exterior orientation parameters as a function of along-track lines. The first degree of polynomial was selected as a function of satellite attitude and position for each scan line. To evaluate the DEM and orthoimage generated, the resulted three dimensional coordinates of the 16 elevation points were computed with the map coordinates. The elevation test showed that root mean square errors of the DEM elevation was about $\pm{16.66m}$ meters.

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