• 제목/요약/키워드: Ocean Color

검색결과 441건 처리시간 0.033초

해양위성센터 구축: 통신해양기상위성 해색센서(GOCI) 자료의 수신, 처리, 배포 시스템 설계 (Development of Korea Ocean Satellite Center (KOSC): System Design on Reception, Processing and Distribution of Geostationary Ocean Color Imager (GOCI) Data)

  • 양찬수;조성익;한희정;윤석;곽기용;안유환
    • 대한원격탐사학회지
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    • 제23권2호
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    • pp.137-144
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    • 2007
  • 한국해양연구원에서는 2008년으로 예정된 통신해양기상위성의 발사에 맞춰 해색센서 데이터의 수신, 처리, 배포를 위한 해양위성센터 구축을 진행하고 있다. 해양위성센터의 위치는 전파 수신 환경 등의 조건을 고려하여, 5곳의 후보지 중 안산으로 정하였다. 수신시스템은 안테나와 RF로 나뉘어지며, 안테나는 위성으로부터 L밴드로 전송되는 센서데이터를 수신하기 위하여 직경 9m의 카세그레인식 안테나(G/T: 1.67GHz에서 19.35$(dB/^{\circ}K)$)로 설계하였다 RF는 다시 LNA와 다운컨버터로 구성되며 수평편파만을 분리해 모뎀으로 전송하도록 설계하였다. 기존 건물은 센터의 운용개념에 맞도록 전산실, 수전실, 상황실, 자료 처리실 등으로 내부 구조 변경 설계가 완료되었다. H/W및 N/W는 데이터의 수신, 처리, 배포에 효율성을 고려하여 6가지 세부 시스템으로 나누어 설계되었다. 가장 중요한 자료 배포 시스템은 위성을 통한 LRIT 배포 시스템과 인터넷을 통한 자료배포 시스템으로 구성된다. 또한 수신된 데이터를 1시간 내에 제공하기 위해 웹호스팅 등 외부데이터 제공 시스템도 구축하는 것을 추진 예정이다.

GOCI-II 태양광 보정시스템을 활용한 가시 채널 복사 보정 개선 및 센서 안정성 분석 (GOCI-IIVisible Radiometric Calibration Using Solar Radiance Observations and Sensor Stability Analysis)

  • 김민상;박명숙;안재현;강금실
    • 대한원격탐사학회지
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    • 제39권6_2호
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    • pp.1541-1551
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    • 2023
  • 해색위성 원격탐사에서 광학센서에서 측정된 전자기 시그날을 태양광 복사휘도로 산출하는 것은 해양 환경 모니터링의 시작이 되는 중요 단계이다. 일반적으로 광학센서가 임무 기간 수많은 촬영을 하면서 감쇄가 일반적이며 이로 인해 발생하는 복사 보정의 불확도는 해수원격반사도, 엽록소-a 농도, 유색용존유기물 등 최종 산출물에 영향을 미치기 때문에, 국제적으로 해색위성의 임무기간 중 자료 연속성을 위한 복사보정의 중요성을 강조해 왔다. 본 연구는 Geostationary Ocean Color Imager-II (GOCI-II) 위성의 지속적인 품질과 정확성을 확보하기 위해 GOCI-II의 복사 보정 알고리즘을 개선 방법을 제시한다. GOCI-II는 궤도상 복사 보정 장치인 태양광 확산기(Solar Diffuser, SD)를 사용하여 gain을 지속적으로 측정하였다. 시계열 분석 결과 gain이 방위각에 따라 계절적 변동을 보임과 동시에 센서의 노후화 가능성을 고려해야 함을 확인하였다. 본 연구에서는 방위각 보정 모델을 도입하여 계절 주기성을 제거하였고, 센서 감쇄 보정 모델을 통해 복사 이득의 비선형적 추세를 산출하였다. 본 연구에서 개선된 복사 보정 알고리즘을 적용하여 대기 최상층(Top of Atmosphere, TOA) 복사휘도의 스펙트럼에 미치는 영향을 확인하였고, 이는 GOCI-II 데이터의 장기적인 안정성 확보를 통해 신뢰성 있는 위성 산출물을 제공함으로써 장기간 트렌드 분석 및 해양 환경 모니터링에 기여할 것으로 기대된다.

배합사료내 규조류 우점인 미세조류 오일 추출물 첨가가 까막전복(Haliotis discus)의 성장, 체조성 및 패각 색채에 미치는 영향 (Effect of Dietary Microalgae, Diatom-Dominant, Oil Extracts on Growth, Body Composition and Shell Color of Juvenile Abalone Haliotis discus)

  • 김희성;이기욱;정해승;김준;윤아영;조성환;이계안;김근용
    • 한국수산과학회지
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    • 제50권6호
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    • pp.738-744
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    • 2017
  • Effect of dietary inclusion of microalgae, diatom-dominant, oil extracts (MOE) on growth, body composition and shell color of juvenile abalone Haliotis discus was investigated. One thousand four hundred and seventy juvenile abalone were distributed into 21 plastic rectangular containers. Seven experimental diets were prepared: MOE0, MOE0.01, MOE0.05, MOE0.1, MOE0.5, MOE1 and MOE2 diets containing MOE at the concentrations of 0, 0.01, 0.05, 0.1, 0.5, 1 and 2% at the expense of mixture of squid liver and soybean oils, respectively. The experimental diets were fed to abalone in triplicate once a day with a little leftover for 16 weeks. Weight gain and specific growth rate of abalone fed the MOE1 and MOE2 diets were higher than those of abalone fed the all other diets. The shell length and soft body weight of abalone fed the MOE2 diet were longer and heavier than those of abalone fed the all other diets. Crude protein and ash content of the soft body of abalone were affected by dietary inclusion of MOE. The shell color of abalone fed the all experimental diets was different from that of wild abalone. In conclusion, dietary inclusion of MOE improved growth of abalone, but did not shell color of abalone.

LED 색광에 대한 갈치의 행동반응 (Behavioral reaction of hairtail (Trichinus lepturus) to different colors of LED light)

  • 김문관;안영일;박수현;오태철;강형철;박용석
    • 수산해양기술연구
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    • 제52권3호
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    • pp.183-190
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    • 2016
  • This study carried out an experiment to find out the reaction of hairtail, Trichinus lepturus to the colors of LED light as a basic study on the development of the trolling gear and a method to enable the day-night operation. We used hairtails caught around Seongsan-po, Jeju Island by set nets and hairtail angling. The seven hairtails of the average length 68.9 cm (SD 9.2 cm) and the average weight 135.9 g (SD 47.9 g) were adapted themselves in the experimental water tank, 15 m Self-Governing 1.7 m in height and 1.5 m in depth, and then they were studied. We conducted experiment at the Ocean and Fisheries Research Institute in Jeju Special Self-Governing Province, from November to December 2015, and the sea surface temperature was between 16.5 and $19.5^{\circ}C$. The four colors of LED light, blue, white, green and red, were set up to transmit downward from the marginal area of tank. The 1 meter depth light intensity of LED colors is as follows: $0.09w/m^2/s$ (blue), $0.18w/m^2/s$ (white), $0.04w/m^2/s$ (green) and $0.007w/m^2/s$(red) To know the optimum LED color light, we selected one with better reaction rate after comparison of two colors simultaneously and the selected color was again compared to the other color in a tournament style two times a day (day and night) and ten times totally. The reaction rates were shown as the frequencies of hairtail appearance for 5 minutes in the lighting zone after turning on the LED lights. The reaction rate of the blue was at 97% unlike the red 3% (p < 0.001). The blue was at 75% unlike the green at 25% (p < 0.001). The blue was at 67% unlike the white at 33% (p < 0.001). Therefore, the color of light source showing the highest reaction rate was the blue.

인공지능을 이용한 이종액체 정상 상태 혼합의 혼합과정 해석 (Analyses of Steady State Mixing Process of Two-Liquids Using Artificial Intelligence)

  • 공대경;염주호;조경래;도덕희
    • 한국수소및신에너지학회논문집
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    • 제29권5호
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    • pp.523-529
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    • 2018
  • Two liquids which are generally used as fuels of rockets are mixed and their mixing process is quantitatively investigated by the use of particle image velocimetry (PIV). As working fluids for the liquid mixing, Dimethylfuran (DMF) and JetA1 oils have been used. Since the specific gravity of DMF is larger than that of JetA1 oil, the DMF oil has been set at the lower part of the JetA1 oil. For better visualization of the mixing process, Rhodamin B powder has been blended into the DMF oil. An agitator having 3 blades has been used for mixing the two liquids. For quantitative visualization, a LCD monitor has been used as a light source. A color camera, camcoder, has been used for recording the mixing process. The images captured by the camcoder have been digitized into three color components, R, G, and B. The color intensities of R, G, and B have been used as the inputs of the neural network of which hidden layer has 20 neurons. Color-to-concentration calibration has been performed before commencing the main experiments. Once this calibration is completed, the temporal changes of the concentration of the DMF has been quantitatively analyzed by using the constructed measurement system.

해양위성센터 구축 소개 : 기반환경 및 하드웨어 중심 (Introduction to Establishment of the Korea Ocean Satellite Center : Basic Environment and Hardware)

  • 양찬수;배상수;한희정;안유환
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2008년도 춘계학술발표회
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    • pp.191-195
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    • 2008
  • 한국해양연구원에서는 2009년 6월 예정인 통신해양기상위성의 해색센서(GOCI) 데이터의 수신, 처리, 배포를 위한 해양위성센터를 구축하고 있다. 해양위성센터의 위치는 전파 수신 환경 등의 조건을 고려하여, 5곳의 후보지중 안산으로 최종 선정하였고, 기존 건물을 센터의 기능에 맞게 구조변경을 완료하였다. L-Band로 전송되는 위성 신호를 수신하기 위해 9m 그레고리안식 안테나 및 RF 장비 등 수신시스템을 구축하고 있으며, 수신된 데이터를 처리하고 관리하기 위해 네트워크장비, 대용량 저장장치, 위성자료 전처리시스템, 위성자료 처리시스템, 자료관리 시스템, 통합감시제어시스템, 기관간자료교환시스템을 구축하였다. 추후 자료배포시스템, 작업관리시스템, 위성자료 통합연구분석시스템, 외국위성 수신시스템 등을 구축 완료하여, 정지궤도 해양위성의 활용 극대화를 위한 해양위성센터 구축을 최종목표로 하고 있다.

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정지궤도 해색탑재체(GOCI) 해수환경분석 알고리즘 개발 (Development of Ocean Environmental Algorithms for Geostationary Ocean Color Imager (GOCI))

  • 문정언;안유환;유주형
    • 대한원격탐사학회지
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    • 제26권2호
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    • pp.189-207
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    • 2010
  • GOCI(정지궤도 해색센서) 해수환경분석 알고리즘들은 해양 광 특성 현장관측 자료들을 이용하여 개발되었다. 사용된 자료는 1998년부터 2009년까지 한반도 주변 해역에서 총 1348개 정점에서 얻어진 엽록소 농도(Chl-a), 부유물 농도(SS), 용존유기물의 흡광계수($a_{dom}$), 원격반사도($R_{rs}$) 현장자료들이다. GOCI 엽록소 농도 산출 알고리즘(GOCI Chl-a)은 부유물과 용존유기물의 영향을 모두 고려하고 네 개의 원격반사도 밴드비를 이용하여 개발하였다. GOCI Chl-a 알고리즘은 다른 알고리즘들보다 현장관측자료에 근사한 엽록소 농도 값을 산출하였다. SeaWiFS 영상자료에서 GOCI Chl-a 알고리즘은 SeaWiFS 표준 엽록소 산출 알고리즘들보다 평균 46 % 정도 보정된 엽록소 농도 값을 산출하였다. GOCI 부유물 농도 산출 알고리즘(GOCI SS)은 보편적인 두 개의 원격반사도 밴드비를 사용하지 않고, Ahn et al.(2001)의 원격반사도 단일밴드 방법을 사용하여 개발하였다. GOCI 용존유기물 산출 알고리즘(GOCI $a_{dom}$)은 원격반사도 밴드비 $R_{rs}(412)/R_{rs}(555)$$a_{dom}(\lambda)$)의 상관관계를 이용하여 개발하였다. GOCI 엽록소 형광 알고리즘과 GOCI 적조분석 알고리즘은 Ahn and Shanmugam(2007)와 Ahn and Shanmugam(2006)의 연구들에 의해 각각 개발되었다. 2010년 6월경에 GOCI의 성공적인 발사가 이루어지면 추후 GOCI 자료의 검보정 연구를 통해 개발된 알고리즘들의 문제점을 분석하고, 한반도 주변 해역의 해양 광 특성 현장자료의 지속적인 업데이트를 통한 알고리즘들의 개선작업이 이루어질 것이다.

OCEANOGRAPHIC EVENTS AT NORTHERN BORNEO AND THEIR RELATIONSHIP TO HARMFUL ALGAL BLOOMS

  • Knee, Tan Chun;Ishizaka, Joji;Ransi, Varis;Son, Tong Phuoc Hoang;Tripathy, Sarat Chandra;Siswanto, Eko
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.491-494
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    • 2006
  • The west coast of Northern Borneo is strongly influenced by Asian monsoon. Present research using the satellite ocean color (OC) remote sensing has identified some interesting oceanographic phenomena in this area that could be related to the harmful algal blooms (HAB). Occurrence of seasonal upwelling event was noticed off the northern tip of Borneo Island that could be related to the northeast monsoon wind. Harmful algal blooms by Pyrodinium bahamense var. compressum occurred since 1976. Subsequently, during December 2003, there was a report of new HAB by Cochlodinium polykrikoides in Northern Borneo. Analysis of OC images revealed that the Cochlodinium bloom had very high chlorophyll a signal and strong absorption characteristics. Results showed that the Baram River plume and upwelling at Northern Borneo were the source of nutrient for the Cochlodinium bloom in the offshore region. Ocean color images of 2004 showed that the bloom from Northern Borneo had crossed the Balabac Straits, reaching Palawan Island in Philippine. Due to the possibility of transboundary HAB problem, we propose a regional HAB monitoring network for an effective HAB management.

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Derivation and Comparison of Narrow and Broadband Algorithms for the Retrieval of Ocean Color Information from Multi-Spectral Camera on Kompsat-2 Satellite

  • Ahn, Yu-Hwan;Shanmugam, Palanisamy;Ryu, Joo-Hyung;Moon, Jeong-Eom
    • 대한원격탐사학회지
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    • 제21권3호
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    • pp.173-188
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    • 2005
  • The present study aims to derive and compare narrow and broad bandwidths of ocean color sensor’s algorithms for the study of monitoring highly dynamic coastal oceanic environmental parameters using high-resolution imagery acquired from Multi-spectral Camera (MSC) on KOMPSAT-2. These algorithms are derived based on a large data set of remote sensing reflectances ($R_{rs}$) generated by using numerical model that relates $b_b/(a + b_b)$ to $R_{rs}$ as functions of inherent optical properties, such as absorption and backscattering coefficients of six water components including water, phytoplankton (chl), dissolved organic matter (DOM), suspended sediment (SS) concentration, heterotropic organism (he) and an unknown component, possibly represented by bubbles or other particulates unrelated to the first five components. The modeled $R_{rs}$ spectra appear to be consistent with in-situ spectra collected from Korean waters. As Kompsat-2 MSC has similar spectral characteristics with Landsat-5 Thematic Mapper (TM), the model generated $R_{rs}$ values at 2 ㎚ interval are converted to the equivalent remote sensing reflectances at MSC and TM bands. The empirical relationships between the spectral ratios of modeled $R_{rs}$ and chlorophyll concentrations are established in order to derive algorithms for both TM and MSC. Similarly, algorithms are obtained by relating a single band reflectance (band 2) to the suspended sediment concentrations. These algorithms derived by taking into account the narrow and broad spectral bandwidths are compared and assessed. Findings suggest that there was less difference between the broad and narrow band relationships, and the determination coefficient $(r^2)$ for log-transformed data [ N = 500] was interestingly found to be $(r^2)$ = 0.90 for both TM and MSC. Similarly, the determination coefficient for log-transformed data [ N = 500] was 0.93 and 0.92 for TM and MSC respectively. The algorithms presented here are expected to make significant contribution to the enhanced understanding of coastal oceanic environmental parameters using Multi-spectral Camera.

DEVELOPMENT OF GOCI/COMS DATA PROCESSING SYSTEM

  • Ahn, Yu-Hwan;Shanmugam, Palanisamy;Han, Hee-Jeong;Ryu, Joo-Hyung
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.90-93
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    • 2006
  • The first Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500 ${\times}$ 2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. The special feature with GOCI is that like MODIS, MERIS and GLI, it will include the band triplets 660-680-745 for the measurements of sun-induced chlorophyll-a fluorescence signal from the ocean. The GOCI will provide SeaWiFS quality observations with frequencies of image acquisition 8 times during daytime and 2 times during nighttime. With all the above features, GOCI is considered to be a remote sensing tool with great potential to contribute to better understanding of coastal oceanic ecosystem dynamics and processes by addressing environmental features in a multidisciplinary way. To achieve the objectives of the GOCI mission, we develop the GOCI Data Processing System (GDPS) which integrates all necessary basic and advanced techniques to process the GOCI data and deliver the desired biological and geophysical products to its user community. Several useful ocean parameters estimated by in-water and other optical algorithms included in the GDPS will be used for monitoring the ocean environment of Korea and neighbouring countries and input into the models for climate change prediction.

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