• 제목/요약/키워드: Ocean Color

검색결과 441건 처리시간 0.028초

Structural Design Development of GOCI

  • Yeon Jeoung-Heum;Kang Song-Doug;Kim Jongah;Kang Gurrl.sil;Myung Hwan-Chun;Youn Heong-Sik
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.104-107
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    • 2005
  • COMS(Communication, Ocean, and Meteorological Satellite) is the geostationary satellite for the mission of satellite communication, ocean monitoring, and meteorological service. It is scheduled to be launched at the end of 2008. Ocean payload of COMS named as GOCI(Geostationary Ocean Color Imager) observes ocean color and derives the chlorophyll concentrlition, the concentration of dissolved organic material and so on. In operational oceanography, satellite derived data products are used to provide forecasting and now casting of the ocean and coastal water state. In this work, conceptual design of structural part of GOCI is carried out and two baseline concepts are proposed. The one is dioptric module that uses lens system and the other is TMA(Three Mirror Anastigmat) module that uses mirror system. Trade-off studies between two concepts are investigated by considering optical and mechanical performances. Finally, on-going tasks and future development plan are briefly discussed.

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REMOTE SENSING OF THE CHINA SEAS AT ORSI/OUC

  • HE, Ming-Xia;Zeng, Kan;Chen, Haihua;Zhang, Tinglu;Hu, Lianbo;Liu, Zhishen;Wu, Songhua;Zhao, Chaofang;Guan, Lei;Hu, Chuanmin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.11-14
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    • 2006
  • We present an overview on the observation and research for the China seas using both field experiments and multi-sensor satellite data at ORSI/OUC, covering two topics: (1) Spatial and temporal distribution of internal waves in the China Seas and retrieval of internal wave parameters; (2) Retrieval, validation, and cross-comparison of multi-sensor ocean color data as well as ocean optics in situ experiments in the East China Sea. We also present an incoherent Doppler wind lidar, developed by ORSI, and its observation for marine-atmospheric boundary layer.

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COMS 해양탑재체의 비선형성 특성 분석 (Analysis of Non-linearity Characteristic of GOCI)

  • 강금실;윤형식
    • 항공우주기술
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    • 제8권2호
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    • pp.1-7
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    • 2009
  • 세계최초의 정지궤도 해양탑재체인 GOCI(Geostationary Ocean Color Imager)는 정지궤도 복합위성인 COMS(Communication, Ocean, and Meteorological Satellite)에 기상탑재체, 통신탑재체와 함께 탑재되기 위해 개발되고 있다. 본 논문에서는 부분품 레벨의 응답특성을 이용한 탑재체 레벨의 복사모델 수립방법을 소개하며, 복사모델을 이용하여 각 채널의 비선형성 특성을 분석한다. 또한, 해양탑재체의 복사시험 데이터를 이용하여 각 채널의 비선형 특성을 검증한다. 분석 결과, 선형이득과 비선형이득의 함수로 표현되는 비선형성$G^3$/b는 모든 채널에 대해 동일함을 확인하였다.

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Spatial distribution of pigment concentration around the East Korean Warm Current region derived from Satellite data

  • Kim, Sang-Woo;Kim, Young-Seup;Yoon, Hong-Joo;Saitoh, Sei-ich
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.655-655
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    • 2002
  • Spatial distribution of phytoplankton pigment concentration (PPC) and sea surface temperature (SST) around the East Korean Warm Current (EKWC) was described, using both ocean color images and advanced very high resolution radiometer (AVHRR) images. Water mass in this region can be classified into five categories in the horizontal profile of PPC and SST, nLw(normalized water-leaving radiance) images: (1) coastal cold water region associated with concentrations of dissolved organic material or yellow colored substances and suspended sediments, (2) cold water region of thermal frontal occurred by a combination of phytoplankton absorption and suspended materials, (3) warm water overlay region by the phytoplankton absorption than the suspended materials; (4) warm water region occurred by the low phytoplankton absorption, and (5) offshore region occurred by the high phytoplankton absorption. In particular, the highest PPC area appeared in the ocean color and SST images with a band shaped distribution of the thermal front and ocean color front region, which is located the coastal cold waters along western thermal front of the warm streamer of the EKWC.

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Variation of Shell Color in Three Geographic White Clam ($Meretrix$ $lusoria$) Populations of the Yellow Sea

  • Yoon, Jong-Man;Park, Kyung-Il;Choi, Sang-Hoon
    • 한국발생생물학회지:발생과생식
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    • 제16권1호
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    • pp.47-51
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    • 2012
  • Genomic DNAs (gDNAs) were isolated from the hard clam ($Meretrix$ $lusoria$, Roding, 1798) populations of Gunsan located in the Yellow Sea of the Korean peninsula. Genetic distances among different individuals of the LSCP (light shell color population) population of the hard clam (lane 1-11), GSCP (grey shell color population) population of the hard clam (lane 12-22) and DSCP (dark shell color population) population of the hard clam (lane 23-33), respectively, were generated using Systat version 10 according to the bandsharing values and similarity matrix. The dendrogram, generated by seven reliable oligonucleotides primers, indicates 3 genetic clusters. LSCP population could be evidently discriminated with the other two populations among three populations. The longest genetic distance (0.801) was found to exist between individuals in the two populations, between individuals' no. 33 of the DSCP population and no. 06 of the LSCP population. The higher fragment sizes (>2,000 bp) are much more observed in the GSCP population. Three hard clam populations can be clearly distinguished, especially, by their morphological characters and PCR-based approach.

정지궤도 해색탑재체(GOCI) 표층유속 추정을 위한 SeaWiFS 해색자료의 응용 (Application of SeaWiFS Chlorophyll-a Ocean Color Image for estimating Sea Surface Currents from Geostationary Ocean Color Imagery (GOCI) data)

  • 김응;노영재;전동철
    • 대한원격탐사학회지
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    • 제26권2호
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    • pp.209-220
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    • 2010
  • 해양현상을 이해하기 위한 관측분야의 노력 중에서 해류 정보의 생산은 가장 어려운 작업 중의 하나이다. 이를 극복하기 위한 대안으로서 연속 화상 자료로부터 해류벡터를 추정하려는 많은 연구들이 진행 되고 있다. 본 연구에서는 한반도 주변의 SeaWiFS (Sea-viewing Wide Field-of-view Sensor) chlorophyll-a 해색 자료와 AVHRR/SST 를 이용하여 연속 화상 사이의 유사한 형태를 추적하는 최대상 관계수법을 사용한 표층 유속 벡터의 추정을 시도하였다. 한국의 남해역에서 적용한 유속 벡터 결과는 해면 고도계를 이용한 지형류, ADCP 관측 결과와 비교하여 유속은 약 15% 정도 작고, 유향은 약 $36^{\circ}$의 차이로 근접하여 기존 연구 결과에 비해 양호하게 나타났다. 이는 향후 GOCI 자료의 응용적 측면에서 매우 고무적이다.

천리안위성 해양탑재체 자료를 이용한 대기산란 효과가 제거된 컬러합성 영상 제작 (Creating Atmospheric Scattering Corrected True Color Image from the COMS/GOCI Data)

  • 이권호
    • 한국지리정보학회지
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    • 제16권1호
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    • pp.36-46
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    • 2013
  • 세계 최초의 정지궤도 해양관측 위성인 천리안 위성의 해색 센서인 Geostationary Ocean Color Imager (GOCI)는 2011년 4월부터 원시 자료를 생산하고 있다. 본 연구에서는 GOCI 원시 자료로부터 보다 자연색에 가까운 컬러합성영상 제작을 위한 방법론과 자료처리용 소프트웨어인 GOCI RGB Maker를 개발하였다. GOCI 원시자료는 대기보정과 재투영 기법을 이용하여 최종적으로 컬러합성영상을 제작할 수 있도록 최적화된 알고리듬을 구현하였다. 이 알고리즘이 적용된 소프트웨어는 다양한 하드웨어 환경에서도 선택적으로 관심영역과 출력창의 크기를 입력받아 처리할 수 있도록 제작되어 교육적 효과를 높였다. GOCI RGB Maker는 공개용 소프트웨어로서, GOCI 자료에 대한 이해와 활용을 증대시킬 수 있을 것이다. 또한, 정지궤도 관측 영상은 관측 영역의 환경특성 변화를 감시하는데 훌륭한 역할을 할 수 있을 것으로 기대된다.

An Overview of Remote Sensing of Chlorophyll Fluorescence

  • Xing, Xiao-Gang;Zhao, Dong-Zhi;Liu, Yu-Guang;Yang, Jian-Hong;Xiu, Peng;Wang, Lin
    • Ocean Science Journal
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    • 제42권1호
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    • pp.49-59
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    • 2007
  • Besides empirical algorithms with the blue-green ratio, the algorithms based on fluorescence are also important and valid methods for retrieving chlorophyll-a concentration in the ocean waters, especially for Case II waters and the sea with algal blooming. This study reviews the history of initial cognitions, investigations and detailed approaches towards chlorophyll fluorescence, and then introduces the biological mechanism of fluorescence remote sensing and main spectral characteristics such as the positive correlation between fluorescence and chlorophyll concentration, the red shift phenomena. Meanwhile, there exist many influence factors that increase complexity of fluorescence remote sensing, such as fluorescence quantum yield, physiological status of various algae, substances with related optical property in the ocean, atmospheric absorption etc. Based on these cognitions, scientists have found two ways to calculate the amount of fluorescence detected by ocean color sensors: fluorescence line height and reflectance ratio. These two ways are currently the foundation for retrieval of chlorophyll-a concentration in the ocean. As the in-situ measurements and synchronous satellite data are continuously being accumulated, the fluorescence remote sensing of chlorophyll-a concentration in Case II waters should be recognized more thoroughly and new algorithms could be expected.

해양수색 위성자료의 검.보정 (Calibration and Validation of Ocean Color Satellite Imagery)

  • 서영상;;장이현;이삼근;유신재
    • 한국환경과학회지
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    • 제10권6호
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    • pp.431-436
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    • 2001
  • Variations in phytoplankton concentrations result from changes of the ocean color caused by phytoplankton pigments. Thus, ocean spectral reflectance for low chlorophyll waters are blue and high chlorophyll waters tend to have green reflectance. In the Korea region, clear waters and the open sea in the Kuroshio regions of the East China Sea have low chlorophyll. As one moves even closer In the northwestern part of the East China Sea, the situation becomes much more optically complicated, with contributions not only from higher concentration of phytoplankton, but also from sediments and dissolved materials from terrestrial and sea bottom sources. The color often approaches yellow-brown in the turbidity waters (Case Ⅱ waters). To verify satellite ocean color retrievals, or to develop new algorithms for complex case Ⅱ regions requires ship-based studies. In this study, we compared the chlorophyll retrievals from NASA's SeaWiFS sensor with chlorophyll values determined with standard fluorometric methods during two cruises on Korean NFRDI ships. For the SeaWiFS data, we used the standard NASA SeaWiFS algorithm to estimate the chlorophyll_a distribution around the Korean waters using Orbview/ SeaWiFS satellite data acquired by our HPRT station at NFRDl. We studied In find out the relationship between the measured chlorophyll_a from the ship and the estimated chlorophyll_a from the SeaWiFs satellite data around the northern part of the East China Sea, in February, and May, 2000. The relationship between the measured chlorophyll_a and the SeaWiFS chlorophyll_a shows following the equations (1) In the northern part of the East China Sea. Chlorophyll_a =0.121Ln(X) + 0.504, R²= 0.73 (1) We also determined total suspended sediment mass (55) and compared it with SeaWiFS spectral band ratio. A suspended solid algorithm was composed of in-.situ data and the ratio (L/sub WN/(490 ㎚)L/sub WN/(555 ㎚) of the SeaWiFS wavelength bands. The relationship between the measured suspended solid and the SeaWiFS band ratio shows following the equation (2) in the northern part of the East China Sea. SS = -0.703 Ln(X) + 2.237, R²= 0.62 (2) In the near future, NFRDI will develop algorithms for quantifying the ocean color properties around the Korean waters, with the data from regular ocean observations using its own research vessels and from three satellites, KOMPSAT/OSMl, Terra/MODIS and Orbview/SeaWiFS.

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Features of Yellow Sand in SeaWiFS Data and Their Implication for Atmospheric Correction

  • Sohn, Byung-Ju;Hwang, Seok-Gyu
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.404-408
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    • 1998
  • Yellow sand event has been studied using SeaWiFS data in order to examine the aerosol optical characteristics in the Yellow Sea and their influences on the atmospheric correction for the ocean color remote sensing. Two SeaWiFS images of April 18 and April 25, 1998, representing Yellow Sand event and clear-sky case respectively, are selected for emphasizing the impact of high aerosol concentration on the ocean color remote sensing. It was shown that NASA's standard atmospheric correction algorithm treats yellow sand area as either too high radiance or cloud area, in which ocean color information is not generated. SeaWiFS aerosol optical thickness is compared with nearby ground-based sun photometer measurements and also is compared with radiative transfer simulation in conjunction with yellow sand model, examining the performance of NASA's atmospheric correction algorithm in case of the heavy dust event.

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