• Title/Summary/Keyword: DEM

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Accuracy Evaluation of ASTER DEM, SRTM DEM using Digital Topographic Map (1:5000 수치지형도를 이용한 ASTER DEM과 SRTM DEM의 구축정확도 평가)

  • Kang, Kyung-Ho;Kim, Chang-Jae;Sohn, Hong-Gyoo;Lee, Won-Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.169-178
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    • 2010
  • The main purpose of this study is to evaluate the feasibility and the accuracy of ASTER DEM and SRTM DEM covering 99% of the earth surface using large-scale Digital Topographic Map in mountainous area(Sokcho), mixed area(Jinan, mountainous area and even land area) and even land area(Anyang). We made DEM using contour lines of 1:5,000 Digital Topographic Map of study area and also acquired ASTER DEM and SRTM DEM of their corresponding area. In order to verify accuracy of DEM, this study compared ASTER DEM and SRTM DEM data using 15m resolution DEM generated from contour lines of Digital Topographic Map as basis for each study area. To evaluate the accuracy of ASTER and SRTM DEM data, statistical such as RMSE and correlation were calculated and histogram and scatter plot were drawn. The analysis result shows that, both ASTER DEM and SRTM DEM have high accuracy but in aspects of future availability, ASTER DEM covering larger areas bas relatively more potential than SRTM data.

Developing Program for Processing a Mass DEM Data using Streaming Method (스트리밍 방식을 이용한 대용량 DEM 프로세싱 프로그램의 개발)

  • Lee, Dong-Ha;Lee, Yong-Gyun;Suh, Yong-Cheol
    • 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.

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Evaluation of DEM Accuracy from ASTER Data (ASTER 데이터에 의해 추출한 DEM 의 정확도 평가)

  • Na, Sang-Il;Park, Jong-Hwa;Shin, Hyoung-Sub
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.2028-2032
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    • 2008
  • DEM은 도시계획, 도로건설 계획, 수해지역 예측 등의 많은 분야에서 다양하게 활용되고 있다. 특히 홍수와 같은 하천재해를 분석, 관리하기 위한 유출모형 적용 때 중요한 입력 자료로 사용되고 있다. 그러나 현재 우리나라에서 사용되는 DEM 제작방법은 과정이 복잡하고 자료 전환이 불가피하며 적용범위에 있어서도 제약이 따른다. 따라서 기존에 사용되던 방법들의 한계를 극복할 수 있는 정확한 DEM 생성 방법으로 위성영상을 이용하는 연구 및 기술개발이 진행되어 왔다. 본 연구에서는 현재 널리 사용되고 있는 DEM 생성 알고리즘을 ASTER 위성 영상에 적용하여 추출한 DEM의 정확도를 평가하고자 하였다. 정확도 평가는 USGS DEM을 사용하였으며, 그 결과 정사보정의 RMSE는 6개의 GCP에서 2 화소에 수렴하였고, 구름영역에서 고도값이 실제 지형보다 높게 나타났다. 또한, 금강 유역의 북동쪽으로 발달된 능선의 고도값은 ASTER DEM이 USGS DEM에 비해 과소평가 되었지만 영상 왼쪽에 위치한 분지는 평활한 지역으로 ASTER DEM과 USGS EM과의 차이가 거의 없는 것으로 나타났다. 또한, 산림 지역 등 능선의 고도값은 ASTER DEM이 USGS DEM에 비해 과소평가 되었지만, 분지 등 평탄 지역의 DEM은 차이가 거의 없는 것으로 나타났다.

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Improvement of 2-pass DInSAR-based DEM Generation Method from TanDEM-X bistatic SAR Images (TanDEM-X bistatic SAR 영상의 2-pass 위성영상레이더 차분간섭기법 기반 수치표고모델 생성 방법 개선)

  • Chae, Sung-Ho
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.847-860
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    • 2020
  • The 2-pass DInSAR (Differential Interferometric SAR) processing steps for DEM generation consist of the co-registration of SAR image pair, interferogram generation, phase unwrapping, calculation of DEM errors, and geocoding, etc. It requires complicated steps, and the accuracy of data processing at each step affects the performance of the finally generated DEM. In this study, we developed an improved method for enhancing the performance of the DEM generation method based on the 2-pass DInSAR technique of TanDEM-X bistatic SAR images was developed. The developed DEM generation method is a method that can significantly reduce both the DEM error in the unwrapped phase image and that may occur during geocoding step. The performance analysis of the developed algorithm was performed by comparing the vertical accuracy (Root Mean Square Error, RMSE) between the existing method and the newly proposed method using the ground control point (GCP) generated from GPS survey. The vertical accuracy of the DInSAR-based DEM generated without correction for the unwrapped phase error and geocoding error is 39.617 m. However, the vertical accuracy of the DEM generated through the proposed method is 2.346 m. It was confirmed that the DEM accuracy was improved through the proposed correction method. Through the proposed 2-pass DInSAR-based DEM generation method, the SRTM DEM error observed by DInSAR was compensated for the SRTM 30 m DEM (vertical accuracy 5.567 m) used as a reference. Through this, it was possible to finally create a DEM with improved spatial resolution of about 5 times and vertical accuracy of about 2.4 times. In addition, the spatial resolution of the DEM generated through the proposed method was matched with the SRTM 30 m DEM and the TanDEM-X 90m DEM, and the vertical accuracy was compared. As a result, it was confirmed that the vertical accuracy was improved by about 1.7 and 1.6 times, respectively, and more accurate DEM generation was possible with the proposed method. If the method derived in this study is used to continuously update the DEM for regions with frequent morphological changes, it will be possible to update the DEM effectively in a short time at low cost.

A Study on High-Precision DEM Generation Using ERS-Envisat SAR Cross-Interferometry (ERS-Envisat SAR Cross-Interferomety를 이용한 고정밀 DEM 생성에 관한 연구)

  • Lee, Won-Jin;Jung, Hyung-Sup;Lu, Zhong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.4
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    • pp.431-439
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    • 2010
  • Cross-interferometic synthetic aperture radar (CInSAR) technique from ERS-2 and Envisat images is capable of generating submeter-accuracy digital elevation model (DEM). However, it is very difficult to produce high-quality CInSAR-derived DEM due to the difference in the azimuth and range pixel size between ERS-2 and Envisat images as well as the small height ambiguity of CInSAR interferogram. In this study, we have proposed an efficient method to overcome the problems, produced a high-quality DEM over northern Alaska, and compared the CInSAR-derived DEM with the national elevation dataset (NED) DEM from U.S. Geological Survey. In the proposed method, azimuth common band filtering is applied in the radar raw data processing to mitigate the mis-registation due to the difference in the azimuth and range pixel size, and differential SAR interferogram (DInSAR) is used for reducing the unwrapping error occurred by the high fringe rate of CInSAR interferogram. Using the CInSAR DEM, we have identified and corrected man-made artifacts in the NED DEM. The wave number analysis further confirms that the CInSAR DEM has valid Signal in the high frequency of more than 0.08 radians/m (about 40m) while the NED DEM does not. Our results indicate that the CInSAR DEM is superior to the NED DEM in terms of both height precision and ground resolution.

A Study on the Fusion of DEM Generated from Images of Optical Satellite and SAR (광학 위성영상과 SAR 위성영상의 DEM 융합에 관한 연구)

  • Yeu, Bock-Mo;Hong, Jae-Min;Jin, Kyeong-Hyeok;Yoon, Chang-Rak
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.11a
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    • pp.58-65
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    • 2002
  • The most widespread techniques for DEM generation are stereoscopy for optical sensor images and interfereometry for SAR images. These techniques suffer from certain sensor and processing limitations, which can be overcome by the synergetic use of both sensors and DEMs respectively. In this paper, different strategies for fusing SAR and optical data are combined to derive high quality DEM products. The multiresolution wavelet transform, which take advantage of the complementary properties of SAR and stereo optical DEMs, will be applied for the fusion process. By taking advantage of the fact that errors of the DEMs are of different nature using the multiresolution wavelet transform, affected part are filtered and replaced by those of the counterpart and is tested with two sets of SPOT and ERS DEM, resulting in a remarkable improvement in DEM. For the analysis of results, the reference DEM is generated from digital base map(1:5000).

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Comparison of SPOT-5 DEM Control with SRTM DEM (SRTM DEM을 이용한 SPOT-5 DEM의 조정 비교)

  • Lee, Hyo-Seong;Han, Dong-Yeob
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.2
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    • pp.193-199
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    • 2011
  • It is necessary to register precisely Digital Elevation Model (DEM) generated from SPOT -5 stereo images in order to monitor the topographic and environmental changes of important topographic features such as Mt. Baekdu. The SPOT-5 DEM is registered taking SRTM DEM as a reference DEM. If SPOT-5 DEM is transformed with single 3D rigid equation, it has many errors. Therefore, this study extracted uniformly ground control points over study area and estimated locally adapted transformation equation. The accuracy of proposed method was evaluated with comparison to scale-based and GCP-based transformation method.

Correction of Mt. Baekdu DEM Generated from SPOT-5 Stereo Images (SPOT-5 스테레오 영상을 이용한 백두산 DEM 제작과 보정)

  • Lee, Hyo-Seong;Ahn, Ki-Weon;Park, Byung-Uk;Oh, Jae-Hong;Han, Dong-Yeob
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.5
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    • pp.555-560
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    • 2010
  • The geoscientists are very interested in a volcanic reactivity of Mt. Baekdu. Periodical observation and monitoring are thus needed to detect the topographic and environmental changes of Mt. Baekdu. It is, however, very restrictive to survey with difficulty of observer's accessibility in the field due to political problems. This study therefore is to produce digital elevation model (DEM) of Mt. Baekdu using SPOT-5 stereo images. The produced DEM is very not accurate because of using without ground control points (GCP). To correct the previously generated DEM, scale-invariant feature transform(SIFT) matching method is adopted with shuttle radar topography mission(SRTM) DEM of NASA Jet Propulsion Laboratory(JPL). The results of the produced DEM to SRTM DEM matching indicate that the corrected DEM from SPOT-5 stereo images has more detail topographic structures. In addition, difference of spatial distances between the corrected DEM and SRTM DEM are much smaller than non-corrected DEM.

Analysis of Flowaccumulation Threshold Value to Extract Stream Network from DEM (DEM으로부터 하천망 추출을 위한 흐름누적 임계값의 분석)

  • 김연준;양인태
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.3
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    • pp.255-264
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    • 2002
  • The topography is recognized as an important factor in determining the streamflow response of watershed to precipitation. In watershed analysis, stream networks are very important parameters. Each DEM grid size and flowaccumulation threshold value of drainage accumulation matrix have influence on stream networks extracted by using grid DEM. Therefore, stream networks extracted from DEM varies with each DEM grid size and flowaccumulation threshold value. Generally, small threshold values will generate more detailed stream network with higher drainage density High threshold values will generate coarser stream networks. In this paper, total stream length in the study area was used to calculate the flowaccumulation threshold value by each DEM grid size. Stream network was derived by each DEM grid size, which is applied flowaccumulation threshold value. Regression equation was derived by correlation between flowaccumulation threshold value and each DEM grid size.

Development of High Resolution DEM Topographic Feature Extraction Module from Low Resolution DEM Using SWAT Model (SWAT 모형을 이용한 저해상도 DEM 사용으로 고해상도 DEM 지형 인자 추출 모듈 개발)

  • Kim, Jong-Gun;Park, Youn-Shik;Kim, Nam-Won;Jang, Won-Seok;Lim, Kyoung-Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1077-1081
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    • 2008
  • Soil and Water Assessment Tool(SWAT) 모형은 DEM(Digital Elevation Model)을 사용하여 지형인자를 추출하고 이를 바탕으로 수문 및 수질 모의가 이루어진다. 지형인자의 추출시 DEM 격자크기에 따라 상이한 결과를 초래할 수 있다. 그리하여 정확한 수문 및 수질 모델링에 있어 가능한 고해상도의 DEM을 사용하도록 권장하고 있다. 그러나 넓은 유역에서의 적용시 고해상도 DEM 사용에 따른 컴퓨터 처리 용량과 프로그램 실행 시 소요되는 시간상의 문제는 그 효율성에 있어서 문제시될 수 있다. 그리하여 본 연구에서는 소양강댐, 임하댐 유역을 대상으로 SWAT 모형에서 저해상도 DEM 사용으로 고해상도 DEM의 지형인자를 추출하여 자동 입력될 수 있는 모듈을 개발 적용하였다. 본 연구의 결과 소양강댐 유역을 대상으로 격자크기 20m DEM과 100m DEM을 사용하였을 때 연평균 유사량이 83.8%의 큰 차이가 발생한 반면 격자크기의 20m DEM과 본 모듈을 적용하여 20m DEM의 지형인자로 자동 보정된 100m DEM을 사용하였을 때의 연평균 유사량이 4.4%로 차이가 상당히 줄어든 것을 볼 수 있었다. 임하댐 유역의 경우는 격자크기 10m DEM과 100m DEM을 사용하였을 때 연평균 유사량이 43.4% 큰 차이가 발생하였다. 반면 격자크기 10m DEM과 본 모듈을 적용하여 10m DEM의 지형인자로 자동 보정된 100m DEM을 사용하였을 때의 연평균 유사량이 0.3%로 차이가 크게 줄어든 것을 확인 할 수 있었다. 또한 본 모듈의 검정을 위해 소양강댐 유역의 지형 자료와 유사한 충주댐 유역을 대상으로 본 모듈을 적용하여 검정을 실시하였다. 그 결과 연간 평균 유사량이 격자크기 20m와 100m의 DEM을 이용하였을 때 98.7%의 큰 차이가 발생한 반면 격자크기 20m와 본 모듈을 적용하여 보정된 경사도 값의 100m DEM을 사용하였을 때 20.7%로 차이가 크게 줄어든 것을 볼 수 있었다. 그리하여 본 연구의 결과를 통해 SWAT 모형에서의 개선된 지형인자 추출 방식을 사용하여 저해상도의 DEM 사용으로 고해상도 DEM 사용의 효과를 볼 수 있을 것이고 이로 인해 넓은 유역에서 저해상도 DEM 사용으로 컴퓨터 사용용량과 프로그램 지연 시간을 줄일 수 있을 것으로 판단된다. 향후 여러 유역을 대상으로 보정, 검정하여 보다 정확하고 통합적으로 적용될 수 있는 모듈의 개선이 필요할 것으로 사료된다.

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