• Title/Summary/Keyword: 지상 LiDAR

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Analysis on the Sand Beach Change at Jinbok-ri, Uljin Province of East Coast in Korea based on the High Resolution DEM by Terrestrial LiDAR (지상라이다의 고해상도 DEM을 이용한 울진 진복리 사빈 변화 분석)

  • Yoon, Soon-Ock;Jeon, Chung-Kyun;Hwang, Sangill
    • Journal of the Korean Geographical Society
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    • v.48 no.3
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    • pp.321-335
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    • 2013
  • High resolution data for the coastal sand beach during short-term in Jinbok-ri, Uljin-gun, Gyeongsangbuk-do are obtained by terrestrial LiDAR. The micro-geomorphological changes of 8 times before and after the strong low-pressure events during June to September, 2009 and changes under the various environments of wave-energy are investigated in the study. The obvious geomorphological changes between the northern and southern sand beach in Jinbok-ri are revealed by terrestrial LiDAR as well as by grain size analysis. The strong waves by the typhoons decrease the area and volume of the beach, and especially the area is largely influenced. The erosive and depositional processes dominate the northern and southern sand beach, respectively, after high wave in September. These results suggest that lots of sand grains in the beach are largely re-transported within the beach rather than offshore.

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Terrestrial LiDAR Measurements and Analysis of Topographical Changes on Malipo Beach (지상 LiDAR를 이용한 만리포 해변 정밀 지형측량 및 지형 변화 분석)

  • Shim, Jae-Seol;Kim, Jin-Ah;Park, Han-San;Kim, Seon-Jeong
    • Ocean and Polar Research
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    • v.32 no.1
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    • pp.73-84
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    • 2010
  • A terrestrial LiDAR was used to acquire precise and high-resolution topographical information of Malipo beach, Korea. Terrestrial LiDAR and RTK-DGPS (VRS) were mounted on top of a survey vehicle and used to scan 20 times stop-and-go method with 250 m spacing intervals at ebb tides. In total, 7 measurements were made periodically from 2008 to 2009 and after each beach replenishment event. We carried out GIS-based 3D spatial analysis such as slope and volume calculations in order to assess topographical changes over time. In relation to beach replenishment, comparative analysis of each volume change revealed them to be similar. This result indicates that the terrestrial LiDAR measurements are accurate and can be used to analyze temporal topographical changes. In conclusion, the methodology employed in this study can be used efficiently to exercise coastal management through monitoring and analyzing beach process such as erosion and deposition.

Topographical Changes in Torrential Stream After Dredging in Erosion Control Dam - Using Terrestrial LiDAR Data - (사방댐 준설이 계류의 지형변화에 미치는 영향 - 지상 LiDAR 자료를 이용하여 -)

  • Seo, Junpyo;Woo, Choongshik;Lee, Changwoo;Kim, Kyongha;Lee, HeonHo
    • Journal of Korean Society of Forest Science
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    • v.103 no.3
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    • pp.392-401
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    • 2014
  • This research was carried out to understand the impact of mountainous torrent on topographical change of slope and sediment volume within a deposit line by dredging of soil erosion control dam. Terrestrial LiDAR surveys were conducted at dredged and non-dredged sites. Terrestrial LiDAR has an advantage on detecting topographical changes easily without demanding workmanship and technical skill for users. The distribution of erodible slope ($20^{\circ}-40^{\circ}$) was higher in non-dredged site than that of dredged site. However, the distribution was higher in dredged site than that of non-dredged site after rainy season. Erosion and deposition appeared regularly in a dredged site, but those occurred irregularly in the non-dredged site. The inflow of soil per square meter was 1.7 times higher in dredged site than that of non-dredged site after rainy season. The difference of rainfall in each site did not affect to soil erosion. The distribution of erodible slope was increased in dredged site than that of non-dredged site after rainy season due to inflow of soil from upper stream caused by dredging.

Displacement Measuring Method using Terrestrial LiDAR for Safety and Serviceability Monitoring of Steel Beams (지상 LiDAR를 이용한 철골보의 안전 및 사용성 모니터링을 위한 변위 계측기법)

  • Lee Hong-Min;Park Hyo-Seon;Lee Im-Pyeong
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2005.04a
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    • pp.190-197
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    • 2005
  • To monitor the safety and serviceability of a structures, structural responses including displacements due to various design and unexpected loadings must be measured. The maximum displacement and its distributions of a structure can be used as a direct assessment index on its stiffness. For this reason, there have been diversely studied on measuring of the maximum displacement of a structure. However, there is no practical method for measuring displacement of a structure. Therefore, in this paper, new displacement measuring method is developed and accuracy of LiDAR is examined in detail for development of a new method for measuring displacement of a structure.

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Slope terrain Analysis by using Terrestrial LiDAR Equipment (지상라이다 장비를 이용한 사면지형분석)

  • Ham, Ju-Hyoung;Choi, Seung-Pil;Kim, Mun-Sup;Kim, Uk-Nam
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.291-293
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    • 2010
  • Terrestrial LiDAR can be used to accurately measure the 3D slope terrain because it can obtain the entire shape of the object, instead of only a specific location, while not much influenced by the environment, and it can create more dense and precise 3D coordinates than those of aerial LiDAR. Therefore, in this study, subject areas with different terrain conditions were selected, the terrestrial LiDAR device was used to observe the slope terrain, and a slope terrain analysis technique was proposed based on the observation results.

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Noise Removal of Terrestrial LiDAR Data Using Tensor Voting Method (텐서보팅(Tensor Voting)기법을 이용한 지상라이다 자료의 노이즈 처리)

  • Seo, Il-Hong;Sohn, Hong-Gyoo;Kim, Chang-Jae;Lim, Jin-Hee
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.157-160
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    • 2010
  • Terrestrial LiDAR data contains outliers which do not need in processing purpose. That is inefficient in the aspect of productivity. These noise requires manual process to be removed, which causes inefficiency in aspect of productivity. The purpose of this research is to demonstrate a possibility of automatic outlier removal of LiDAR data using 3D Tensor Voting method. For this, we presented in this article about the procedure to perform the application of Tensor Voting algorithm to the real data from terrestrial LiDAR.

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Measurement of Tree Height and Diameter Using Terrestrial Laser Scanner in Coniferous Forests (지상 LiDAR를 활용한 침엽수림의 수고 및 흉고직경 측정)

  • Ko, Byung-Jun;Park, Se-Ik;Park, Hee-Jung;Lee, Sang-Hyun
    • Journal of Environmental Science International
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    • v.31 no.6
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    • pp.479-490
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    • 2022
  • This study was to evaluate the utilization of terrestrial light detection and ranging for forest inventory in coniferous forests. Heights and diameter of the stand trees were measured manually using the traditional measurement method and the method using terrestrial LiDAR. The results of two methods were compared and analyzed to evaluate accuracy and feasibility. The terrestrial LiDAR used fixed and handy types to compare the accuracy between different operational methods. Comparative analyses used a paired t-test and Bland-Altman plot analysis. In the case of tree heights, the average of difference between the traditional method and terrestrial LiDAR for each plot was 0.81 m, -0.07 m, and 0.13 m for fixed type; 2.88 m, 1.19 m, and 0.93 m for the handy type. In the case of tree diameter at breast height, the average value of the difference between traditional methods and terrestrial LiDAR for each plot was 0.13 cm, -0.66 cm, and -0.03 cm for fixed type; 2.36 cm, 2.13 cm, and 1.92 cm for the handy type. The values from the method using the fixed type was highly consistent with that using the traditional measurement methods; the average difference was closer to zero. The crown density influences the precision of the height measurement using terrestrial LiDAR in coniferous forests. Therefore, future studies should focus on verifying the accuracy of terrestrial LiDAR in forests and on expanding the utilization of terrestrial LiDARs according to their operational methods.

The Construction of 3D Spatial Imagery Information of Dam reservoir using LiDAR and Multi Beam Echo Sounder (LiDAR와 MBES를 이용한 댐 저수지 3차원 공간영상정보 구축)

  • Lee, Geun-Sang;Choi, Yun-Woong
    • Spatial Information Research
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    • v.18 no.3
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    • pp.1-11
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    • 2010
  • Recently, the construction of three dimensional spatial information of Dam reservoir area is very important part in Dam management work such as sediment survey, but it is difficult to acquire detailed terrain data because totalstation and single beam echo sounder are applied to terrain survey. This study presented method to construct detailed terrain data of Dam reservoir area using LiDAR and multi beam echo sounder. First, LiDAR survey was carried out in land zone and calibration process was applied by ground control point. And also the DEM of land zone was constructed by using algorithm, which eliminated building and vegetation class. As the result of validation of LiDAR DEM using GPS terrain survey, it was possible to construct three dimensional terrain data that was satisfied with the tolerance error of LiDAR, which was the standard error of LiDAR DEM showed as 0.108m. Also multi beam echo sounder was applied to the survey of water zone and it could construct spatial information that was satisfied with bathymetry surveying tolerance error of International Hydrographic Organization by validation with terrain survey data. And LiDAR and multi beam echo sounder data were integrated and it was possible to construct three dimensional spatial imagery information that can be applied to Dam management work such as the estimation of sediment amounts or the monitoring of terrain change by linking with high resolution orthophoto.

Efficient method for acquirement of geospatial information using drone equipment in stream (드론을 이용한 하천공간정보 획득의 효율적 방안)

  • Lee, Jong-Seok;Kim, Si-Chul
    • Journal of Korea Water Resources Association
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    • v.55 no.2
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    • pp.135-145
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    • 2022
  • This study aims to verify the Drone utilization and the accuracy of the global navigation satellite system (GNSS), Drone RGB (Photogrammetry) (D-RGB), and Drone LiDAR (D-LiDAR) surveying performance in the downstream reaches of the local stream. The results of the measurement of Ground Control Point (GCP) and Check Point (CP) coordinates confirmed the excellence. This study was carried out by comparing GNSS, D-RGB, and D-LiDAR with the values which the hydraulic characteristics calculated using HEC-RAS model. The accuracy of three survey methods was compared in the area of the study which is the ownership station, to 6 GCP and 3 CP were installed. The comparison results showed that the D-LiDAR survey was excellent. The 100-year frequency design flood discharge was applied in the channel sections of the small stream. As a result of D-RGB surveying 2.30 m and D-LiDAR 1.80 m in the average bed elevation, and D-RGB surveying 4.73 m and D-LiDAR 4.25 m in the average flood condition. It is recommended that the performance of D-LiDAR surveying is efficient method and useful as the surveying technique of the geospatial information using the drone equipment in stream channel.

Analysis of Factors Influencing the Measurement Error of Ground-based LiDAR (지상기반 라이다의 측정 오차에 영향을 미치는 요인 분석)

  • Kang, Dong-Bum;Huh, Jong-Chul;Ko, Kyung-Nam
    • Journal of the Korean Solar Energy Society
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    • v.37 no.6
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    • pp.25-37
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    • 2017
  • A study on factors influencing measurement error of Ground-based LiDAR(Light Detection And Ranging) system was conducted in Kimnyeong wind turbine test site on Jeju Island. Three properties of wind including inclined angle, turbulence intensity and power law exponent were taken into account as factors influencing the measurement error of Ground-based LiDAR. In order to calculate LiDAR measurements error, 2.5-month wind speed data collected from LiDAR (WindCube v2) were compared with concurrent data from the anemometer on a nearby 120m-high meteorological mast. In addition, data filtering was performed and its filtering criteria was based on the findings at previous researches. As a result, at 100m above ground level, absolute LiDAR error rate with absolute inclined angle showed 4.58~13.40% and 0.77 of the coefficients of determination, $R^2$. That with turbulence intensity showed 3.58~23.94% and 0.93 of $R^2$ while that with power law exponent showed 4.71~9.53% and 0.41 of $R^2$. Therefore, it was confirmed that the LiDAR measurement error was highly affected by inclined angle and turbulence intensity, while that did not much depend on power law exponent.