• Title/Summary/Keyword: 항공레이저수심측량

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Shoreline survey and sounding using SHOALS (SHOALS를 이용한 해안선측량 및 수심측량)

  • Jung, Hyun;Choi, Yun-Soo;Yoon, Ha-Su;Lee, Yoo-Jung
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.10a
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    • pp.331-332
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    • 2008
  • 단빔, 멀티빔, 사이드스캔소나 등을 이용하여 해저면의 위치나 형상파악을 하는 방법은 측량시간과 비용이 막대하게 소요되고 해안절벽과 도서지역은 접근이 용이하지 않은 관계로 이러한 측량환경의 단점을 보완하기 위하여 항공기에 레이저 측량장비를 탑재하여 해저면의 수심을 측량할 수 있는 기술이 확산되고 있다. 본 연구에서는 실험지역에 대하여 항공레이저 수심측량을 실시하고 취득된 데이터를 이용하여 해안선을 추출하였다. 해저면 지역에 대하여 단빔 수심측량 데이터와 비교한 결과, 실험지역 A에서는 표준편차가 ${\pm}1.795m$, 실험지역 B에서는 표준편차가 ${\pm}2.251m$로 제시되었다. 또한 SHOALS 데이터와 7개의 암초에 대하여 9개 지점의 암초 수심측량 값과 비교하였으며, 암초 수심측량 값의 측량밀도가 적어 암초의 형상을 3차원으로 재현함에 있어서 한계가 존재하지만 SHOALS 데이터를 이용하여 암초에 대한 형상을 정확하게 3차원으로 표현할 수 있었다. 육지지역에 대한 SHOALS 데이터 검증을 위하여 라이다 데이터와 비교 한 결과, $0.16m{\pm}0.16m$로 나타났으며, 1/1,000 수치지형도와 비교한 결과, $0.51m{\pm}0.26m$로 SHOALS 데이터의 정확성과 신뢰성을 확인할 수 있었다. 본 연구를 통하여 국내에서도 SHOALS 데이터를 이용하여 해안선측량 및 수심측량에 적용할 수 있는 근거를 제시하였으며, 현행 수심측량으로 어려움이 많은 수심이 낮은 천소지역과 접근이 어려운 절벽지역에 효과적으로 적용할 수 있는 기반을 제시하였다.

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Measuring Water Depth by Using a Combination of GPS/Echosounder (음향측심기와 위성항법을 이용한 하천의 수심 측량)

  • 정영동;강상구
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.4
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    • pp.375-381
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    • 2002
  • Depth of water information is obtained mainly from echo-sounding instrument which observes the round-trip time of signal from water surface to the bottom. Photogrammetry, underwater survey and laser survey etc. are also used as another method of bathymetric surveying. These methods are used specially for making track chart in a shallow water area. On the other hand, aircraft or satellite imagery ara also used in the sea area where the effect of suspended material is low and water quality is good. Presently, general bathymetric surveying has been performed in our country, but the spatial density of surveyed point are relatively low. Therefore, in this study we built a grid water depth chart which measured combing echosounder with GPS-RTK method and the depth accuracy was analyzed by using the data of direct survey water depth. As a results, the bathymatric mapping which use echosounder is more economical method compared to the existing methods.

Water Depth and Riverbed Surveying Using Airborne Bathymetric LiDAR System - A Case Study at the Gokgyo River (항공수심라이다를 활용한 하천 수심 및 하상 측량에 관한 연구 - 곡교천 사례를 중심으로)

  • Lee, Jae Bin;Kim, Hye Jin;Kim, Jae Hak;Wie, Gwang Jae
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.4
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    • pp.235-243
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    • 2021
  • River surveying is conducted to acquire basic geographic data for river master plans and various river maintenance, and it is also used to predict changes after river maintenance construction. ABL (Airborne Bathymetric LiDAR) system is a cutting-edge surveying technology that can simultaneously observe the water surface and river bed using a green laser, and has many advantages in river surveying. In order to use the ABL data for river surveying, it is prerequisite step to segment and extract the water surface and river bed points from the original point cloud data. In this study, point cloud segmentation was performed by applying the ground filtering technique, ATIN (Adaptive Triangular Irregular Network) to the ABL data and then, the water surface and riverbed point clouds were extracted sequentially. In the Gokgyocheon river area, Chungcheongnam-do, the experiment was conducted with the dataset obtained using the Leica Chiroptera 4X sensor. As a result of the study, the overall classification accuracy for the water surface and riverbed was 88.8%, and the Kappa coefficient was 0.825, confirming that the ABL data can be effectively used for river surveying.

Present Condition and Improvement points research for Shoreline Investigation Survey in Korea (우리나라 해안선조사측량 추진현황 및 개선점 연구)

  • Wie, Gwang-Jae;Kim, Eyung-Young;Sung, No-Sun;Lim, Young-Tae
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.403-406
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    • 2010
  • Shoreline Investigation Survey in Korea 2001 Taean ended 2009 Tongyeong with start, Gosung in 2010 to survey the shoreline plans to complete the survey. Shoreline Investigation Survey of the country shape formulation and accurate coastline produced to by 2007 baseline survey, level survey, the terrain level survey, water level survey, tidal observations, property survey, etc was conducted. Since 2007 the status of topography survey were performed by replacing the Airborne LiDAR survey. In this research study surveying the shoreine of the business status, issues, improvements in the updated plan to analyze the shoreline land department future research and surveying the shoreline Island department plan is presented.

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River management technology using Drone (하천관리를 위한 드론활용기술)

  • Kim, Young Joo;Lee, Geun Sang;An, Min Hyeok;Kim, Jin Hyeok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.345-345
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    • 2020
  • 우리나라는 물산업 강국 도약을 위한 글로벌 경쟁력을 갖추기 위해 2015년 세계물포럼 이후 복합 수재해 대응과 능동적 하천관리 분야가 중요시되고 있다. 기존의 하천관리는 수위관측소 및 하도계획을 중심으로 이루어져왔으나 최근에는 항공측량, 드론 등 원격관리시스템에 기반을 둔 하천 통로에 대한 입체적인 3차원 관리로의 인식 전환이 고려되는 추세이다. 대부분 수위 및 하도를 중심으로 한 조사방식은 계측장비, 인력, 시간 등 많은 소요비용이 필요하게 되어 급변하는 하천 공간 조사 기술로 제한적 요소가 많아 현재의 하천조사 시스템으로는 하천관리에 필요한 데이터를 환경변화에 맞추어 신속하고 정확하게 취득하기가 어려운 실정으로 하천관리 고도화를 위해 필요한 자료를 적기에 신속하고 효율적으로 구축할 수 있는 기술 개발 필요한 실정이다. 사회 환경의 발달로 급변하는 환경에 맞는 적정한 하천관리를 위해서는 유역 및 하천에 대한 수문정보 생산 및 하상변동조사가 필요하고 첨단기술(ICT)을 활용하여 조사의 효율성, 안전성 및 정확성을 높일 필요성이 있다. 한편, 하천유역조사는 하천유역에 대한 다양한 정보 수집을 목표로 하나 그간 유역조사에 대한 체계적인 연구가 이루어지지 않아 수요자의 요구 자료 제공이 미흡한 실정이다. 최근 수심, 하상, 하천재료 등 하천법에 규정된 측량은 현장 직접계측을 통해 실시되고 있으며 측량의 공간적·시간적 범위의 변동으로 기존 방식의 비용이 급증하게 되어 신기술을 통한 효율화가 필요한 실정이다. 현재 하천조사를 위해 위성 및 유인항공기 등 다양한 방법이 활용되고 있으나 고빙용을 수반하고 위성영상은 공간해상도가 낮아 폭이 좁은 하천에 적용하는데 한계가 있다. 또한, 폭이 좁고 길게 형성된 하천의 특성상 항공측량 보다 드론이 효율적으로 드론에 레이저 광선으로 지형을 측량하는 장비를 탑재해 3차원 지형을 측량하는 방법이 유리하다. 따라서 본 연구에서는 동진강 상류 하천을 대상으로 드론을 활용할 경우 투입인력 및 소요시간 절감, 장비 및 인력 진입 불가지역에 대한 정보획득, 높은 공간해상도, 항공측량 대비 경제성이 높은 것으로 판단되어 드론을 활용하여 하천지형 모니터링을 실시하여 유역관리 및 수질모델링에 필요한 지도 생성 및 유역의 공간 정보를 획득하여 향후 유역관리 모형의 기초자료로 활용하고자 하였다.

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A Study on Utilization of GNSS and Spatial Image for River Site Decision Supporting (하천 현장업무 의사지원을 위한 GNSS와 공간영상 활용방안에 관한 연구)

  • Park, Hyeon-Cheol;Choung, Yun-Jae;Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.1
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    • pp.118-129
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    • 2011
  • This Study has developed the information system of the rivers based on 3D image GIS by converging the latest information technology of GIS(Geographic Information System), RS(Remote Sensing), GNSS(Global Navigation Satellite System), aerial laser survey(LiDAR) with real time network technology in order to understand the current situation of all the four major rivers and support the administrative management system. The said information system acquires the high resolution aerial photographs of 25cm, aerial laser survey and water depth surveying data to express precise space information on the whole Youngsan River which is the leading project site out of the four river sites. Monitoring the site is made available on the transporting means such as a helicopter, boat or a bus in connection with locational coordinate tracking skill for the moving objects in real time using GNSS. It makes monitoring all the information on the four river job sites available at a glance, which can obtain the reliability of the people to such vast areas along with enhancing the recognition of the people by publicity of four Rivers Revitalizing Project and reports thereof.

Segmentation of Seabed Points from Airborne Bathymetric LiDAR Point Clouds Using Cloth Simulation Filtering Algorithm (항공수심라이다 데이터 해저면 포인트 클라우드 분리를 위한 CSF 알고리즘 적용에 관한 연구)

  • Lee, Jae Bin;Jung, Jae Hoon;Kim, Hye Jin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.1
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    • pp.1-9
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    • 2020
  • ABL (Airborne Bathymetric LiDAR) is an advanced survey technology that uses green lasers to simultaneously measure the water depths and oceanic topography in coastal and river areas. Seabed point cloud extraction is an essential prerequisite to further utilizing the ABL data for various geographic data processing and applications. Conventional seabed detection approaches often use return waveforms. However, their limited accessibility often limits the broad use of the bathymetric LiDAR (Light Detection And Ranging) data. Further, it is often questioned if the waveform-based seabed extraction is reliable enough to extract seabed. Therefore, there is a high demand to extract seabed from the point cloud using other sources of information, such as geometric information. This study aimed to assess the feasibility of a ground filtering method to seabed extraction from geo-referenced point cloud data by using CSF (Cloth Simulation Filtering) method. We conducted a preliminary experiment with the RIGEL VQ 880 bathymetric data, and the results show that the CSF algorithm can be effectively applied to the seabed point segmentation.

The Comparative Analysis of Reservoir Capacity of Chungju Dam based on Multi Dimensional Spatial Information (다차원 공간정보 기반의 충주댐 저수용량 비교분석)

  • Lee, Geun Sang
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.5D
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    • pp.533-540
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    • 2010
  • Dam is very important facility in water supply and flood control. Therefore study needs to analyze reservoir capacity accurately to manage Dam efficiently. This study compared time series reservoir capacity using multi-dimensional spatial information to Chungju Dam reservoir and major conclusions are as follows. First, LiDAR and multi beam echo sounder survey were carried out in land zone and water zone of Dam reservoir area. And calibration process was performed to enhance the accuracy of survey data and it could be constructed that multi dimensional spatial information which was clearly satisfied with the standard of tolerance error by validation with ground control points. Reservoir capacity by water level was calculated using triangle irregular network from detailed topographic data that was constructed by linked with airborne LiDAR and multi beam echo sounder data, and curve equation of reservoir capacity was developed through regression analysis in 2008. In the comparison of the reservoir capacity of 2008 with those of 1986 and 1996, the higher water level goes, total reservoir capacity of 2008 showed decrease because of the increase of sediment in reservoir. Also, erosion and sediment area could be analyzed through calculating the reservoir capacity by the range of water level. Especially the range of water level as 130.0~135.0 which is the upper part of average water level, showed the highest erosion characteristics during 1986~2008 and 1996~2008 and it is considered that the erosion of reservoir slant by heavy rainfall is major reason.