• 제목/요약/키워드: ocean environment data

검색결과 1,047건 처리시간 0.029초

정지궤도 해양관측위성 지상시스템 개발 (Systemic Ground-Segment Development for the Geostationary Ocean Color Imager II, GOCI-II)

  • 한희정;양현;허재무;박영제
    • 정보과학회 컴퓨팅의 실제 논문지
    • /
    • 제23권3호
    • /
    • pp.171-176
    • /
    • 2017
  • 최근, 효율적인 위성자료처리시스템의 개발을 위해 고성능 컴퓨팅, 클라우스 서비스, 데브옵스 방법론 등의 정보기술(information technology; IT)을 활용하는 연구가 활발히 진행되고 있다. 해양의 장단기 변화를 관측하여 해양재해 재난 예측 및 어장환경 관리를 지원하기 위해 정지궤도해양관측위성-II(Geostationary Ocean Color Imager II; GOCI-II)이 2019년 3월 발사될 예정이며, 자료 수신/처리/저장/배포를 위한 지상시스템(GOCI-II Ground Segment; G2GS)이 해양위성센터에서 설계되고 있다. G2GS는 자료수신(data acquisition subsystem; DAS), 자료보정(data correction subsystem; DCS), 정밀보정(precision correction subsystem; PCS), 자료처리(ocean data processing subsystem; ODPS), 자료관리(data management subsystem; DMS), 운영및품질관리(operation & quality management subsystem ; OQMS) 등 6개의 서브시스템으로 구성되어 있다. G2GS를 이용하여 GOCI-II로부터 생산된 해양 분석 자료를 유관기관 및 일반 사용자에게 실시간으로 제공할 수 있을 것이라 기대하고 있다.

Landsat-8 OLI를 이용한 북극해 스발바드 피요르드의 고해상도 Ocean Color Product 산출 (High Resolution Ocean Color Products Estimation in Fjord of Svalbard, Arctic Sea using Landsat-8 OLI)

  • 김상일;김현철;현창욱
    • 대한원격탐사학회지
    • /
    • 제30권6호
    • /
    • pp.809-816
    • /
    • 2014
  • Ocean Color product들은 해양 생태계를 이해하기 위해 중요한 변수이다. 고위도 지역에서는 해빙이 바다로 유입되어 ocean color product에 광학적인 영향을 미친다. 본 연구에서는 북극 다산기지 근해의 피요르드에 대한 광학적 특성을 평가하고 높은 공간해상도를 가진 Landsat-8 OLI 영상의 엽록소-a(chlorophyll-a)와 부유물질(suspended sediment) 농도를 산출하고자 한다. 엽록소-a와 부유물질 농도를 추정하기 위해서 band ratio를 이용한 다양한 회귀 모델을 테스트했다. 위성영상과 관측된 실측 값과의 시간적인 차이 때문에 사용된 회귀모델은 높은 상관관계를 가지지는 못하였다. 하지만 Landsat-8 OLI 영상을 이용한 모델에서 생산된 엽록소-a와 부유물질 농도는 북극해 주변 피요르드와 해안지역에 대한 고해상도 위성 데이터를 활용한 모니터링 가능성을 보여주었다. 북극해 주변의 기후변화 패턴을 이해하기 위해서는 해양 생태계 변화에 ice meltig이 어떠한 영향을 미치는지를 이해하는 것이 필요하다. 본 연구의 결과는 고위도지역에서 ice melting이 해양생태계 변화에 미치는 영향을 고해상도로 모니터링을 하는데 사용된다. 극지연구소는 2002년부터 스발바드 다산기지을 운영하고 있으며 한국의 북극 기지를 기반으로 연구를 수행하였다.

Regional sea water chlorophyll distribution derived from MODIS for near-real time monitoring

  • Liew, S.C.;Heng, A.W.C.
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
    • /
    • pp.1039-1041
    • /
    • 2003
  • Ocean color products derived from remote sensing satellite data are useful for monitoring the sea water quality such as the concentrations of chlorophyll, sediments and dissolved organic matter. Currently, ocean color products derived from MODIS data can be requested from NASA over the internet. However, due to the bandwidth limitation of most users in this region, and the time delay in data delivery, the products cannot be use for near-real time monitoring of sea water chlorophyll. CRISP operates a MODIS data receiving station for environmental monitoring purposes. MODIS data have been routinely received and processed to level 1B. We have adapted the higher level processing algorithms from the Institutional Algorithms provided by NASA to run in a standalone environment. The implemented algorithms include the MODIS ocean color algorithms. Seasonal chlorophyll concentration composite can be compiled for the region. By comparing the near-real time chlorophyll product with the seasonal composite, anomaly in chlorophyll concentration can be detected.

  • PDF

A Study on Current Characteristics Based on Design and Performance Test of Current Generator of KRISO's Deep Ocean Engineering Basin

  • Kim, Jin Ha;Jung, Jae Sang;Hong, Seok Won;Lee, Chun Ju;Lee, Yong Guk;Park, Il Ryong;Song, In Haeng
    • 한국해양공학회지
    • /
    • 제35권6호
    • /
    • pp.446-456
    • /
    • 2021
  • To build an environment facility of a large-scale ocean basin, various detailed reviews are required, but it is difficult to find data that introduces the related research or construction processes on the environment facility. The current generator facility for offshore structure safety evaluation tests should be implemented by rotating the water of the basin. However, when the water in the large basin rotates, relatively large flow irregularities may occur and the uniformity may not be adequate. In this paper, design and review were conducted to satisfy the performance goals of the DOEB through computational numerical analysis on the shape of the waterway and the flow straightening devices to form the current in the large tank. Based on this, the head loss, which decreases the flow rate when the large tank water rotates through the water channel, was estimated and used as the pump capacity (impeller) design data. The impeller of the DOEB current generator was designed through computational numerical analysis (CFD) based on the lift surface theory from the axial-type impeller shape for satisfying the head loss of the waterway and maximum current velocity. In order to confirm the performance of the designed impeller system, the flow rate and flow velocity performance were checked through factory test operation. And, after installing DOEB, the current flow rate and velocity performance were reviewed compare with the original design target values. Finally, by measuring the current velocity of the test area in DOEB formed through the current generator, the spatial current distribution characteristics in the test area were analyzed. Through the analysis of the current distribution characteristics of the DOEB test area, it was confirmed that the realization of the maximum current velocity and the average flow velocity distribution, the main performance goals in the waterway design process, were satisfied.

수중 소나 영상 학습 데이터의 왜곡 및 회전 Augmentation을 통한 딥러닝 기반의 마커 검출 성능에 관한 연구 (Study of Marker Detection Performance on Deep Learning via Distortion and Rotation Augmentation of Training Data on Underwater Sonar Image)

  • 이언호;이영준;최진우;이세진
    • 로봇학회논문지
    • /
    • 제14권1호
    • /
    • pp.14-21
    • /
    • 2019
  • In the ground environment, mobile robot research uses sensors such as GPS and optical cameras to localize surrounding landmarks and to estimate the position of the robot. However, an underwater environment restricts the use of sensors such as optical cameras and GPS. Also, unlike the ground environment, it is difficult to make a continuous observation of landmarks for location estimation. So, in underwater research, artificial markers are installed to generate a strong and lasting landmark. When artificial markers are acquired with an underwater sonar sensor, different types of noise are caused in the underwater sonar image. This noise is one of the factors that reduces object detection performance. This paper aims to improve object detection performance through distortion and rotation augmentation of training data. Object detection is detected using a Faster R-CNN.

방향 모호성을 고려한 수중 음향 기반의 2차원 위치 추정 기술 개발 (Acoustic based Two Dimensional Underwater Localization Considering Directional Ambiguity)

  • 최진우;이영준;정종대;박정홍;최현택
    • 로봇학회논문지
    • /
    • 제12권4호
    • /
    • pp.402-410
    • /
    • 2017
  • Acoustic based localization is essential to operate autonomous robotic systems in underwater environment where the use of sensorial data is limited. This paper proposes a localization method using artificial underwater acoustic sources. The proposed method acquires directional angles of acoustic sources using time difference of arrivals of two hydrophones. For this purpose, a probabilistic approach is used for accurate estimation of the time delay. Then, Gaussian sum filter based SLAM technique is used to localize both acoustic sources and underwater vehicle. It is performed by using bearing of acoustic sources as measurement and inertial sensors as prediction model. The proposed method can handle directional ambiguity of time difference based source localization by generating Gaussian models corresponding to possible locations of both front and back sides. Through these processes, the proposed method can provide reliable localization method for underwater vehicles without any prior information of source locations. The performance of the proposed method is verified by experimental results conducted in a real sea environment.

KMA와 ECMWF 자료를 이용한 연안 유의파고의 분포 및 추세분석 (Distribution and Trend Analysis of the Significant Wave Heights Using KMA and ECMWF Data Sets in the Coastal Seas, Korea)

  • 고동휘;정신택;조홍연;서경식
    • 한국해안·해양공학회논문집
    • /
    • 제29권3호
    • /
    • pp.129-138
    • /
    • 2017
  • 연안의 파랑환경은 해안지형의 변화, 해양생물의 서식조건, 해양구조물의 설계 등에 직접적인 영향을 미치는 매우 중요한 인자이다. 최근 기후변화로 인한 파랑환경의 변화도 예상되고 있는 상황에서, 가용한 자료를 이용한 파랑환경의 추세분석이 요구된다. 본 연구에서는 한국 연안 6개 지점(덕적도, 외연도, 칠발도, 마라도, 포항, 울릉도) 평상파랑의 부이관측 자료를 이용하여 장기 변화양상을 분석하였다. 먼저, 국내 기상청 해양기상부이 관측 자료의 이상치를 제거하기 위해 Rosner 방법을 사용하였으며, 이를 ECMWF 재해석 자료와 피어슨 상관분석을 수행하였다. 그 결과, 해양기상부이와 ECMWF 자료간의 상관성은 0.849~0.938로 나타났다. 한편, 맨-캔달 검정법을 이용하여 평상파랑의 장기변동 양상을 검토하였으며 그 결과, 덕적도, 외연도, 칠발도 지점은 변동이 없는 것으로 나타났지만, 마라도, 포항, 울릉도 지점은 증가하는 경향을 보였다.

Concurrent Mapping and Localization using Range Sonar in Small AUV, SNUUVI

  • Hwang Arom;Seong Woojae;Choi Hang Soon;Lee Kyu Yuel
    • Journal of Ship and Ocean Technology
    • /
    • 제9권4호
    • /
    • pp.23-34
    • /
    • 2005
  • Increased usage of AUVs has led to the development of alternative navigational methods that use the acoustic beacons and dead reckoning. This paper describes a concurrent mapping and localization (CML) scheme that uses range sonars mounted on SNUUV­I, which is a small test AUV developed by Seoul National University. The CML is one of such alternative navigation methods for measuring the environment that the vehicle is passing through. In addition, it is intended to provide relative position of AUV by processing the data from sonar measurements. A technique for CML algorithm which uses several ranging sonars is presented. This technique utilizes an extended Kalman filter to estimate the location of the AUV. In order for the algorithm to work efficiently, the nearest neighbor standard filter is introduced as the algorithm of data association in the CML for associating the stored targets the sonar returns at each time step. The proposed CML algorithm is tested by simulations under various conditions. Experiments in a towing tank for one dimensional navigation are conducted and the results are presented. The results of the simulation and experiment show that the proposed CML algorithm is capable of estimating the position of the vehicle and the object and demonstrates that the algorithm will perform well in the real environment.