• 제목/요약/키워드: Ocean optical properties

검색결과 75건 처리시간 0.022초

ESTIMATION OF IOP FROM INVERSION OF REMOTE SENSING REFLECTANCE MODEL USING IN-SITU OCEAN OPTICAL DATA IN THE SEAWATER AROUND THE KOREA PENINSULA

  • Moon, Jeong-Eon;Ahn, Yu-Hwan;Ryu, Joo-Hyung;Yang, Chan-Su
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.224-227
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    • 2006
  • For estimation of three inherent optical properties (IOPs), the absorption coefficients for phytoplankton ($a_{ph}$) and suspended solid particle ($a_{ss}$) and dissolved organic matter ($a_{dom}$), from ocean reflectance, we used inversion of remote sensing reflectance model (Ahn et al., 2001) at this study. The IOP inversion model assumes that (1) the relationship between remote sensing reflectance ($R_{rs}$) and absorption (a) and backscattering ($b_{b}$) is well known, (2) the optical coefficients for pure water ($a_{w}$, $b_{bw}$) are known, (3) the spectral shapes of the specific absorption coefficients for phytoplankton ($a^*_{ph}$) and suspended solid particle ($a^*_{ss}$) and the specific backscattering coefficients for phytoplankton ($b_b^*_{ph}$) and suspended solid particle ($b_b^*_{ss}$) are known. The input data of IOP inversion model is used in-situ ocean optical data at the seawater around the Korea Peninsula for 5 years (2001-2005). We compared the output data of the IOP inversion model and the in-situ observation for seawater around the Korea Peninsula.

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Bio-optical properties of the Yellow Sea

  • Yoo, Sin-Jae;Park, Ji-Soo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.393-398
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    • 1998
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해양 환경의 형광용존유기물에 관한 국내 연구 동향 (Domestic Research Trends on Fluorescent Dissolved Organic Matter in Marine Environment)

  • 김정현
    • Ocean and Polar Research
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    • 제43권4호
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    • pp.353-363
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    • 2021
  • Fluorescent dissolved organic matter (FDOM) is referred to organic matter which absorbs efficiently solar radiation energy and fluorescence in the water column. The component and molecular structure of marine organic matter can be changed depending on the various substances and origins of organic matter, and then the organic matter has unique fluorescent properties. As the cutting-edge analytical techniques of optical measurement continuously developing from last few decades, a study on FDOM has been applied as a biogeochemical tracer to quantify the organic matter concentration and to investigate the behaviors and origins of organic matter. Especially, the marine environment around the Korean Peninsula is an ideal research area to study FDOM because of various oceanographic characteristics and the origins of organic matter. This study describes the general properties of FDOM and introduces the cycling and behaviors of marine organic matter based on the domestic research studies.

COMPARISON OF RED TIDE DETECTION BY A NEW RED TIDE INDEX METHOD AND STANDARD BIO-OPTICAL ALGORITHM APPLIED TO SEA WIFS IMAGERY IN OPTICALLY COMPLEX CASE-II WATERS

  • Shanmugam Palanisamy;Ahn Yu-Hwan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.445-449
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    • 2005
  • Various methods to detect the phytoplankton/red tide blooms in the oceanic waters have been developed and tested on satellite ocean color imagery since the last two and half decades, but accurate detection of blooms with these methods remains challenging in optically complex turbid waters, mainly because of the eventual interference of absorbing and scattering properties of dissolved organic and particulate inorganic matters with these methods. The present study introduces a new method called Red tide Index (Rl), providing indices which behave as a good measure of detecting red tide algal blooms in high scattering and absorbing waters of the Korean South Sea and Yellow Sea. The effectiveness of this method in identifying and locating red tides is compared with the standard Ocean Chlorophyll 4 (OC4) bio-optical algorithm applied to SeaWiFS ocean imagery, acquired during two bloom episodes on 27 March 2002 and 28 September 2003. The result revealed that OC4 bio-optical algorithm falsely identifies red tide blooms in areas abundance in colored dissolved organic and particulate inorganic matter constituents associated with coastal areas, estuaries and river mouths, whereas red tide index provides improved capability of detecting, predicting and monitoring of these blooms in both clear and turbid waters.

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Validation of the semi-analytical algorithm for estimating vertical underwater visibility using MODIS data in the waters around Korea

  • Kim, Sun-Hwa;Yang, Chan-Su;Ouchi, Kazuo
    • 대한원격탐사학회지
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    • 제29권6호
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    • pp.601-610
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    • 2013
  • As a standard water clarity variable, the vertical underwater visibility, called Secchi depth, is estimated with ocean color satellite data. In the present study, Moderate Resolvtion Imaging Spectradiometer (MODIS) data are used to measure the Secchi depth which is a useful indicator of ocean transparency for estimating the water quality and productivity. To estimate the Secchi depth $Z_v$, the empirical regression model is developed based on the satellite optical data and in-situ data. In the previous study, a semi-analytical algorithm for estimating $Z_v$ was developed and validated for Case 1 and 2 waters in both coastal and oceanic waters using extensive sets of satellite and in-situ data. The algorithm uses the vertical diffuse attenuation coefficient, $K_d$($m^{-1}$) and the beam attenuation coefficient, c($m^{-1}$) obtained from satellite ocean color data to estimate $Z_v$. In this study, the semi-analytical algorithm is validated using temporal MODIS data and in-situ data over the Yellow, Southern and East Seas including Case 1 and 2 waters. Using total 156 matching data, MODIS $Z_v$ data showed about 3.6m RMSE value and 1.7m bias value. The $Z_v$ values of the East Sea and Southern Sea showed higher RMSE than the Yellow Sea. Although the semi-analytical algorithm used the fixed coupling constant (= 6.0) transformed from Inherent Optical Properties (IOP) and Apparent Optical Properties (AOP) to Secchi depth, various coupling constants are needed for different sea types and water depth for the optimum estimation of $Z_v$.

다목적 실용위성관측을 위한 황해의 생물학적.광학적 특성 (Bio-optical propterties in the Yellow Sea)

  • Sinjae Yoo;Jisoo Park
    • 대한원격탐사학회지
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    • 제14권3호
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    • pp.285-294
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    • 1998
  • 1998년 황해에서 OSMI 검-보정 및 활용과제를 위한 생물광학 조사가 수행되었다. 9 개의 조사정점에서 광학 측정이 이루어졌다. 이들 측정 치에서 $K_{d}$, R, a, and b$_{b}$와 같은 외관성 및 내재성 광학특성이 산출되었다. 반사도의 유형을 볼 때 광학특성이 엽록소, 부유사, CDOM과 같은 모든 주요 구성성분에 의해 결정되고 각각의 기여도는 정점마다 달랐다. 모든 정점의 역산란계수는 Case 2 수역 범주에 속하였다. 전테 흡광계수는 매우 높았으며 CDOM 농도로는 충분히 설명되지 않는다. 부유사가 상당히 흡광력이 높을 가능성이 있으며 이에 대한 추후 연구가 바람직하다.

심층신경망 기반의 해수 고유광특성 도출 (Derivation of Inherent Optical Properties Based on Deep Neural Network)

  • 이형탁;최혜민;김민규;윤석;김광석;문정언;한희정;박영제
    • 대한원격탐사학회지
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    • 제39권5_1호
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    • pp.695-713
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    • 2023
  • 연안 해역에서 식물성플랑크톤, 부유입자, 용존유기물은 복합적이고 비선형적으로 해수반사도를 변화시킨다. 최근 빠르게 발전하는 신경망 기술은 복잡한 비선형 관계를 효과적으로 처리할 수 있는 장점이 있다. 기존 연구에서는 성분별 고유광특성을 도출하기 위하여 세 단계의 신경망을 구성하였으나 본 연구에서는 심층신경망을 직접 적용하는 알고리즘을 제안하였다. 본 연구에서 활용한 데이터세트는 국제해색조정그룹에서 제공하는 합성데이터를 활용하였으며, 입력데이터는 9개의 파장의 원격반사도를 입력하였다. 이를 통해 해수 고유광특성을 심층신경망을 기반으로 도출하였다. 성능을 평가하기 위해 준분석 알고리즘(quasi-analytical algorithm)과 비교하였으며, 데이터 분포에 따른 로그 변환 여부가 심층신경망 알고리즘의 성능에 영향을 미치는 정도를 비교 분석하였다. 그 결과, 준분석 알고리즘보다 심층신경망 알고리즘을 활용하면 부유입자에 대한 흡광계수를 제외한 고유광특성을 정확하게 추정할 수 있으며(R2 0.9 이상), 부유입자와 용존유기물의 흡광계수를 부유입자와 용존유기물 흡광계수로 각각 분리할 수 있었다. 그리고 심층신경망을 직접적으로 적용하는 알고리즘은 데이터의 로그 변환을 하지 않아도 성능 차이가 거의 없음을 파악할 수 있었다. 이 연구 결과를 해색 자료 처리에 실제 적용하기 위해서는 다양한 해역의 현장자료 및 추가적인 데이터 세트를 활용한 학습을 진행하여, 경험적 및 반분석적 방법과 비교 분석하고 알고리즘 간 장단점을 적절히 파악하는 연구가 필요하다.

해수의 광학적 성질과 해양기초생산 -동열대 대서양 Oligotrophic zone을 중심으로- (Optical Properties of Ocean Water and Marine Primary Production -A Study on the Oligotrophic Zone in the Eastern Tropical Atlantic Ocean-)

  • 윤홍주;류청로;김기태;김현주
    • 한국수산과학회지
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    • 제28권2호
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    • pp.174-182
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    • 1995
  • Using the optical data from the EUMELI 3 and 4 missions, the optical properties are discussed in relation to primary production in the oligotrophic zone of the Eastern Atlantic Ocean. The depth of euphotic layer $(Z_{eu})$, the total accumulated concentration of pigment $(C_{TOT})$ and the concentration of pigment (C) are 88m, $12.4mgm^{-2}\;and\;0.14mgm^{-3}$, respectively for the EUMELI 3 mission and 101.7m, $10.0mgm^{-2}\;and\;0.10mgm^{-3}$, respectively for the EUMELI 4 mission. The concentration of pigment is higher in autumn (EUMELI 3) than in spring (EUMELI 4). This indicates that the concentration of photosynthetic pigment has a close correlation with vertical attenuation coefficient $(K(\lambda))$ that changes seasonally in the euphotic layer. While the spectral distributions of downward Irradiance$(E_d)$ for the wave length of 470nm increase with depth, those of upward irradiance $(E_u)$ for the wave length range between 410nm and 490nm are constant, because the study area is covered with the blue and clear oceanic deep waters. The vertical attenuation coefficients of downward irradiance $(K_d)$ and upward irradiance $(K_u)$ have low values between 0.02 and $0.06m^{-1}$ due to the low absorption and scattering by the photosynthetic pigment of phytoplankton. Therefore this zone has the characteristics of the case 1 waters with low concentrations of photosynthetic pigment, and can be classifed into IB.

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Development of the Bio-Optical Algorithms to Retrieve the Ocean Environmental Parameters from GOCI

  • Ryu, Joo-Hyung;Moon, Jeong-Eon;P., Shanmugam;Min, Jee-Eun;Ahn, Yu-Hwan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.82-85
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    • 2006
  • The Geostationary Ocean Color Imager (GOCI) will be loaded in Communication, Ocean and Meteorological Satellite (COMS). To efficiently apply the GOCI data in the variety of fields, it is essential to develop the standard algorithm for estimating the concentration of ocean environmental components (, , and ). For developing the empirical algorithm, about 300 water samples and in situ measurements were collected from sea water around the Korean peninsula from 1998 to 2006. Two kinds of chlorophyll algorithms are developed by using statistical regression and fluorescence technique considering the bio-optical properties in Case-II waters. The single band algorithm for is derived by relationship between Rrs (555) and in situ concentration. The CDOM is estimated by absorption coefficient and ratio of Rrs(412)/Rrs(555). These standard algorithms will be programmed as a module of GOCI Data Processing System (GDPS) until 2008.

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Sequential detection simulation of red-tide evolution for geostationary ocean color instrument with realistic optical characteristics

  • Jeong, Soo-Min;Jeong, Yu-Kyeong;Ryu, Dong-Ok;Kim, Seong-Hui;Cho, Seong-Ick;Hong, Jin-Suk;Kim, Sug-Whan
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 2009년도 한국우주과학회보 제18권2호
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    • pp.49.3-49.3
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    • 2009
  • Geostationary Ocean Colour Imager (GOCI) is the first ocean color instrument that will be operating in a geostationary orbit from 2010. GOCI will provide the crucial information of ocean environment around the Korean peninsula in high spatial and temporal resolutions at eight visible bands. We report an on-going development of imaging and radiometric performance prediction model for GOCI with realistic data for reflectance, transmittance, absorption, wave-front error and scattering properties for its optical elements. For performance simulation, Monte Carlo based ray tracing technique was used along the optical path starting from the Sun to the final detector plane for a fixed solar zenith angle. This was then followed by simulation of red-tide evolution detection and their radiance estimation, following the in-orbit operational sequence. The simulation results proves the GOCI flight model is capable of detecting both image and radiance originated from the key ocean phenomena including red tide. The model details and computational process are discussed with implications to other earth observation instruments.

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