• Korean Journal of Remote Sensing
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• v.36 no.2_2
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• pp.309-323
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• 2020

Estimation of chlorophyll a concentration (CHL) on coastal areas using remote sensing has been mostly performed through multi-spectral satellite image analysis. Recently, various studies using hyperspectral imagery have been attempted. In particular, airborne hyperspectral imagery is composed of hundreds of bands with a narrow band width and high spatial resolution, and thus may be more effective in coastal areas than estimation of CHL through conventional satellite image. In this study, comparative analysis of hyperspectral and satellite-based CHL images was performed to estimate CHL in coastal areas. As a result of analyzing CHL and seawater spectrum data obtained by field survey conducted on the south coast of Korea, the seawater spectrum with high CHL peaked near the wavelength bands of 570 and 680 nm. Using this spectral feature, a new band ratio of 570 / 490 nm for estimating CHL was proposed. Through regression analysis between band ratio and the measured CHL were generated new CHL empirical formula. Validation of new empirical formula using the measured CHL showed valid results, with R² of 0.70, RMSE of 2.43 mg m^-3, and mean bias of 3.46 mg m^-3. As a result of applying the new empirical formula to hyperspectral and satellite images, the average RMSE between hyperspectral imagery and the measured CHL was 0.12 mg m^-3, making it possible to estimate CHL with higher accuracy than multi-spectral satellite images. Through these results, it is expected that it is possible to provide more accurate and precise spatial distribution information of CHL in coastal areas by utilizing hyperspectral imagery.

• Korean Journal of Remote Sensing
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• v.33 no.6_1
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• pp.917-930
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• 2017

To understand the temporal and spatial variations of surface chlorophyll-a concentration (Chl-a) distribution in the Indian Ocean ($30^{\circ}E{\sim}120^{\circ}E$, $30^{\circ}S{\sim}30^{\circ}N$) by the Indian Ocean Dipole (IOD), we conducted EOF and K means analyses of monthly satellite-derived Chl-a data in the region during 1998~2016 periods. Chl-a showed low values in the central region of the Indian Ocean and relatively high values in the upwelling region and around the marginal regions of the Indian Ocean. It also had a strong seasonal variation of Chl-a, showing the lowest value in the spring and the highest value in summer due to the change of the monsoon and current system. The EOF analysis showed that Chl-a variation in EOF mode 1 is related to ENSO (El $Ni{\tilde{n}}o$/Southern Oscillation) and that of mode 2 is linked to IOD. Both modes explained spatially opposite trends of Chl-a in the east and west Indian Ocean. From K means analysis, the Chl-a variation in the east and west Indian Ocean, and around India have relatively good relationship with IOD while that in the tropical and middle Indian Ocean closely associated with ENSO. The spatial and temporal distribution of Chl-a also showed distinct spatial and temporal variations depend on the different types of IOD events. IOD classifies two patterns, which occurred during the developing ENSO (First Type IOD) and the year following ENSO event (Second Type IOD). Chl-a variation in the First Type IOD started in summer and peaked in fall around the east and west Indian Ocean. Chl-a variation in the Second Type IOD occurred started in spring, peaked in summer and fall, and disappeared in winter. In the Chl-a variation related to IOD, developing process appearing in the Chl-a difference between the east and west Indian ocean was similar. Chl-a variation in the northern Indian Ocean were opposite trend with changing developing phase of IOD.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.2 s.36
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• pp.63-68
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• 2006

Although it is more recommended to use satellite images for an accurate understanding of the natural environment over a large area, what should proceed obtaining such satellite images is to make basic model equations based firmly upon the on-land experiments and field experiments. It may be more accurate and objective to investigate correlations between satellite images and actual water quality factors obtained for the same area. Thus, this study was conducted in order to determined which band of Landsat ETM+ images is appropriate to estimate the density of chlorophyll-a in a closed laboratory without atmospheric interference, using pure water and sea water. As a result of this study, it was found that the best band that exhibited the highest degree of correlations among the compounded bands rated (B3-B4)/B2 in pure water and (B2+B4)/B3 in sea water. The correlation coefficient here is 0.9747 and 0.9892 respectively. Thus, compounding this band ran be quite useful for estimation density of Chlorophyll-a using Landsat ETM+ image data.

• Korean Journal of Food Science and Technology
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• v.41 no.6
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• pp.700-705
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• 2009

Several studies have demonstrated that chlorophyll has many beneficial properties, including anti-inflammatory, anti-tumor, and antioxidant properties. Chlorophyll has been also shown to have an excellent chemopreventive potential against skin tumor. Its preventive mechanism against skin tumor, however, has not been examined in detail. Furthermore, the effects of chlorophyll on UVB-induced cellular responses have not been investigated. Solar UV radiation, in particular its UVB component, is the primary cause of many adverse biological effects, which is responsible for the photoaging and skin cancer. We investigated the preventive effects of chlorophyll a on UVB-mediated responses in human immortalized HaCaT kerationocytes and normal human fibroblast. We found that treatment of chlorophyll a markedly inhibited UVB-induced generation of reactive oxygen species and lipid peroxidation. Chlorophyll a also prevented UVB-induced MMP-1 expression and MMP-2 activation and increased Type I pN collagen synthesis. These results suggest that chlorophyll a is a potent candidate for the prevention and treatment of UVB-induced skin cancer and photoaging.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.145-145
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• 2023

육지의 영양염류는 강수를 통해 강을 따라 바다로 흐른다. 연안 수질과 생태계를 효과적으로 관리하기 위해 수계를 통해 연안으로 배출되는 육상 영양염류 유출의 변화를 연구하는 것이 중요하다. 그러나 제한적인 수량과 수질 동시 관측자료로 인해 한반도 연안으로 유입되는 영양염량 변화에 대한 연구는 매우 제한적이다. 따라서 본 연구에서는 한반도 내륙에서 주변 연안 지역으로 유출되는 영양염류의 유출량과 그 변화량을 추정 및 분석하고 유출량에 대한 수량과 수질 변화의 기여도를 정량적으로 조사하였다. 2012-2021년 봄철(3-5월)에 한반도 연안 주변의 75개의 하천 지점에서 측정된 수질 농도 및 유량 관측 데이터와 한반도 연안 375지점에서 측정된 해양 수질 농도 데이터를 사용하였다. 더불어 22개의 해안지역 하천 유량 관측소와 근접한 수질 관측자료를 통해, 총 질소(TN), 총 인(TP), 클로로필a의 봄철 영양염류 유출 총량을 추정하고 그 변화량을 평가하였다. 그리고 영양염류 유출 변화량을 모델 수식으로 분해하여 유출 총량 변화량에 대한 하천 유량과 영양염류 농도 변화의 상대적인 기여도를 분석하였다. 분석결과는 연간 봄철 TN, TP, 클로로필a 유출 총량의 변화율이 영양염류의 농도 (각각 19%, 48%, 5%)보다는 하천 유량 (각각 84%, 51%, 91%)에서 더 많은 영향을 받았음을 보여주었다. 한반도 연안을 서해, 남해, 동해로 나누어 영양염류 유출 총량을 분석한 결과, 한반도 전체 유출량에서 서해의 가장 큰 기여도를 확인하였다. 또한 한반도 내륙에서 유출된 영양염류 총량이 연안의 수질에 끼치는 영향을 조사하고자 내륙 하천과 연안의 수질 간의 상관관계를 조사하여 간접적으로 파악하였다. 본 연구는 분석적인 접근을 통해 하천과 연안 수질 환경에서 수문학적인 연결고리의 중요성을 강조하고, 영양염류 유출 변화가 해안에 서식하는 생태계와 양식산업 생산성에 미치는 잠재적인 영향을 강조하였다.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.23 no.6
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• pp.417-424
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• 1990

Effect of physical processes on the surface distributions of chlorophyll-a and nutrients was investigated in the southern sea of Korea during summer season. The northwestern area of Cheju Island had higher concentrations of the chlorophyll-a and nutrients than its southeastern area. A nutrient-rich patch was observed in the western area of Cheju Island and the northern area of $34^{\circ}N$ respectively. It seems that the patch in the western area of Cheju Island is formed by horizontal extension of the low-saline Coastal Water of China Contiental(CWCC), while the patch in the northern area of $34^{\circ}N$ by vertical mixing. Also, the high chlorophyll-a in the vicinity of Cheju Island appears to be ascribed to sufficient supply of nutrient from bottom water by coastal upwelling.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.4
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• pp.345-352
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• 2010

The objective of this paper is to explore the short-term variability of water temperature and chlorophyll a (Chl-a) derived from in-situ and satellite data (NOAA, Sea WiFS and QuikScat) in the upwelling region of the southeastern part of Korean Peninsula in June and August, 2007. Particularly we focused on the spatial variability of sea surface temperature(SST) and Chl-a in the East Korean Warm Current region. In the results of the in-situ data, the peaks of Chl-a in june was shown at a depth of 50m The peaks of Chl-a in August was shown at a depth of 10m at the stations 4 and 5 near the land, and a depth of 30m at the other stations. The Chl-a concentrations in August were also lower than those in june except for station 5. As a result, the peaks of Chl-a in August occurred at a depth of 20~40 m shallower than those of Chl-a in june. This indicates that the nutrient-rich water within the mixed layer depth may be immediately supplied by the coastal upwelling, which is due to the southerly component of wind. The relationship between SST and Chl-a showed a negative correlation, and the high concentration of Chl-a occurred in the cold water area. The southerly wind and the East Korean Warm Current influenced a remarkable offshore movement of the cold water and Chl-a near the coastal area.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.135-135
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• 2010

1997년에 발사된 해색센서 Sea-viewing Wide Field-of-view Sensor (SeaWiFS)의 클로로필-a 자료는 많은 연구자들에게 전 지구 규모나 지역 규모에 대한 해양표층의 식물 플랑크톤 증식을 연구하는데 널리 활용되고 있다. 그런데 NASA로부터 제공되는 동해의 SeaWiFS Level-3 클로로필 자료에는 비정상적으로 높은 농도 값이 스펙클 형태로 분포한다. 본 연구에서는 1998년부터 2007까지 전구의 SeaWiFS 자료를 이용하여 SeaWiFS 클로로필-a 농도가 가지는 스펙클 오차의 분포 특성에 관해 조사하였다. 10년간의 월별 자료로부터 각 화소의 최댓값을 분석한 결과 정상적 농도 범위에서 벗어난 높은 농도 값이 스펙클 형태로 출현하였다. 이런 특성은 북반구에서 전구의 80% 이상 높게 나타났으며, 특히 $40-75^{\circ}N$의 중위도 영역에 집중분포하였다. 또한 스펙클들은 연안 가까이에서 매우 높게 나타난 반면 연안과 멀리 떨어진 외해에서도 $10-80mg/m^3$정도의 높은 값을 가지고 산발적으로 분포하였다. 스펙클들은 해마다 상당한 연 변동을 보였으며, 해역별로 크게 분포하는 시기가 다르게 나타났다. 북태평양에서는 봄철에 크게 나타난 반면 북대서양에서는 봄철과 가을철에 고르게 분포하였다. 2009년의 SeaWiFS 재처리 이후에 스펙클 오차 보정에 대한 처리가 이루어졌으며, 상당량 줄어든 분포를 보였으나 여전히 자료 안에서 매우 높은 농도로 분포하며 자료에 오차를 유발하고 있다. 따라서 본 연구는 전구에서 나타나는 스펙클 오차 분포 특성을 분석함으로 해색자료가 가지는 오차에 관한 문제점을 제기하였으며, 이를 통해 좀 더 신뢰도 있는 자료를 해양 연구에 사용해야함을 제시한다.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.344-349
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• 2009

동해의 SeaWiFS 클로로필-$\alpha$에서 나타나는 스펙클(speckle) 오차를 제거하고 Level-2에서 Level-3로의 자료합성을 실시하였다. 1998년부터 2007년까지 10년간 클로로필-$\alpha$의 시공간 변동성을 고려하여, 월 평균값으로 표준화된 공간적 표준 편차가 $7mg/m^3$ 이상 될 때를 경계 값으로 스펙클 제거기준을 설정하였다. 농도경사가 큰 전선지역과 연안으로부터 10-50 km 이내 지역은 제거 기준을 $12mg/m^3$ 이상으로 알고리즘을 구성하였다. 스펙클 제거 결과, 자료는 그대로 보존되고 스펙클이 존재하는 화소의 값만 줄어들었다. 특히 스펙클이 자주 발생하는 겨울철 클로로필 자료의 농도변화가 크게 나타났으며 스펙클이 많이 나타나는 시기에는 $5^{\circ}\times5^{\circ}$영역의 평균값이 10%이상 감소하는 결과를 보였다.

• Journal of the Korean earth science society
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• v.42 no.3
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• pp.247-263
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• 2021

Climate change has been accelerating in coastal waters recently; therefore, the importance of coastal environmental monitoring is also increasing. Chlorophyll-a concentration, an important marine variable, in the surface layer of the global ocean has been retrieved for decades through various ocean color satellites and utilized in various research fields. However, the commonly used chlorophyll-a concentration algorithm is only suitable for application in clear water and cannot be applied to turbid waters because significant errors are caused by differences in their distinct components and optical properties. In addition, designing a standard algorithm for coastal waters is difficult because of differences in various optical characteristics depending on the coastal area. To overcome this problem, various algorithms have been developed and used considering the components and the variations in the optical properties of coastal waters with high turbidity. Chlorophyll-a concentration retrieval algorithms can be categorized into empirical algorithms, semi-analytic algorithms, and machine learning algorithms. These algorithms mainly use the blue-green band ratio based on the reflective spectrum of sea water as the basic form. In constrast, algorithms developed for turbid water utilizes the green-red band ratio, the red-near-infrared band ratio, and the inherent optical properties to compensate for the effect of dissolved organisms and suspended sediments in coastal area. Reliable retrieval of satellite chlorophyll-a concentration from turbid waters is essential for monitoring the coastal environment and understanding changes in the marine ecosystem. Therefore, this study summarizes the pre-existing algorithms that have been utilized for monitoring turbid Case 2 water and presents the problems associated with the mornitoring and study of seas around the Korean Peninsula. We also summarize the prospective for future ocean color satellites, which can yield more accurate and diverse results regarding the ecological environment with the development of multi-spectral and hyperspectral sensors.