• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.71-87
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• 2007

In this study, 14 heavy snow events in Yeongdong area which are local phenomena are analyzed using MODIS cloud products provided from NASA/GSFC. The clouds of Yeongdong area at observed at specific time by MODIS are classified into A, B, C Types, based on the characteristic of cloud properties: cloud top temperature, cloud optical thickness, Effective Particle Radius, and Cloud Particle Phase. The analysis of relations between cloud properties and precipitation amount for each cloud type show that there are statistically significant correlations between Cloud Optical Thickness and precipitation amount for both A and B type and also significant correlation is found between Cloud Top Temperature and precipitation amount for A type. However, for C type there is not any significant correlations between cloud properties and precipitation amount. A-type clouds are mainly lower stratus clouds with small-size droplet, which may be formed under the low level cold advection derived synoptically in the East sea. B-type clouds are developed cumuliform clouds, which are closely related to the low pressure center developing over the East sea. On the other hand, C-type clouds are likely multi-layer clouds, which make satellite observation difficult due to covering of high clouds over low level clouds directly related with Yeongdong heavy snow. It is, therefore, concluded that MODIS cloud products may be useful except the multi-layer clouds for understanding the mechanism of heavy snow and estimating the precipitation amount from satellite data in the case of Yeongdong heavy snow.

• Korean Journal of Remote Sensing
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• v.31 no.5
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• pp.371-384
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• 2015

Although GOCI has potential for land surface monitoring, there have been only a few cases for land applications. It might be due to the lack of reliable land products derived from GOCI data for end-users. To use for land applications, it is often essential to provide cloud-free composite over land surfaces. In this study, we proposed a cloud detection method that was very important to make cloud-free composite of GOCI reflectance and vegetation index. Since GOCI does not have SWIR and TIR spectral bands, which are very effective to separate clouds from other land cover types, we developed a multi-temporal approach to detect cloud. The proposed cloud detection method consists of three sequential steps of spectral tests. Firstly, band 1 reflectance threshold was applied to separate confident clear pixels. In second step, thick cloud was detected by the ratio (b1/b8) of band 1 and band 8 reflectance. In third step, average of b1/b8 ratio values during three consecutive days was used to detect thin cloud having mixed spectral characteristics of both cloud and land surfaces. The proposed method provides four classes of cloudiness (thick cloud, thin cloud, probably clear, confident clear). The cloud detection method was validated by the MODIS cloud mask products obtained during the same time as the GOCI data acquisition. The percentages of cloudy and cloud-free pixels between GOCI and MODIS are about the same with less than 10% RMSE. The spatial distributions of clouds detected from the GOCI images were also similar to the MODIS cloud mask products.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.185-186
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• 2000

대기 중에 있는 에어로졸의 농도가 증가하면 직접·간접적으로 지구 복사 평형에 영향을 주어 기후 변화를 유도하게 된다 직접적 효과로는 에어로졸이 지구에 들어오는 태양빛을 산란 및 흡수에 의해 차단하여 지표에 도달하는 태양에너지를 감소시키게 된다. 간접적 효과로는 증가된 에어로졸의 일부가 구름 응결핵으로 작용하여 구름입자의 농도를 증가시키면 구름의 알베도 값이 증가되고 또한 구름의 수명에도 영향을 주어 구름의 량을 증가시키게 되고, 또한 구름의 수명에도 영향을 주어 구름의 량을 증가시키게 되고, 따라서 지구복사 뿐 아니라 물의 순환에도 영향을 미치게 된다. (중략)

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.12
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• pp.1793-1798
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• 2015

Antioxidant activities of various solvent extracts from Coriolus versicolor were investigated for their total polyphenol content, total flavonoid content, 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity, and 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) cation radical scavenging activity. C. versicolor extracts were produced by organic solvents such as ethanol, ethyl acetate, and methanol. Total polyphenol and flavonoid contents in the ethanol and ethyl acetate extracts were higher than those in the methanol extract. DPPH radical scavenging activity of methanol extract showed the highest value of 80.3%, which was similar to that of ascorbic acid (85.5%). All extracts showed good (>90.0%) ABTS cation radical scavenging activity. The antimicrobial activities of these extracts from C. versicolor were evaluated against six strains of bacteria using the disc diffusion method. All extracts showed antimicrobial activities against all tested bacteria except Staphylococcus aureus. These results indicate that various extracts from C. versicolor could be useful as natural antioxidant and antimicrobial agents.

• Korean Journal of Remote Sensing
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• v.33 no.5_1
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• pp.599-605
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• 2017

Accurate cloud discrimination in satellite images strongly affects accuracy of remotely sensed parameter produced using it. Especially, cloud contaminated pixel over ocean is one of the major error factors such as Sea Surface Temperature (SST), ocean color, and chlorophyll-a retrievals,so accurate cloud detection is essential process and it can lead to understand ocean circulation. However, static threshold method using real-time algorithm such as Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Himawari Imager (AHI) can't fully explained reflectance variability over ocean as a function of relative positions between the sun - sea surface - satellite. In this paper, we assembled a reflectance spectral library as a function of Solar Zenith Angle (SZA) and Viewing Zenith Angle (VZA) from ocean surface reflectance with clear sky condition of Advanced Himawari Imager (AHI) identified by NOAA's cloud products and spectral library is used for applying the Dynamic Time Warping (DTW) to detect cloud pixels. We compared qualitatively between AHI cloud property and our results and it showed that AHI cloud property had general tendency toward overestimation and wrongly detected clear as unknown at high SZA. We validated by visual inspection with coincident imagery and it is generally appropriate.

• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.99-105
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• 2011

This research presents the correction method to correct the location error of cloud caused by parallax error, and how the method can reduce the position error. The procedure has two steps: first step is to retrieve the corrected satellite zenith angle from the original satellite zenith angle. Second step is to adjust the location of the cloud with azimuth angle and the corrected satellite zenith angle retrieved from the first step. The position error due to parallax error can be as large as 60km in case of 70 degree of satellite zenith angle and 15 km of cloud height. The validation results by MODIS(Moderate-Resolution Imaging Spectrometer) show that the correction method in this study properly adjusts the original cloud position error and can increase the utilization of geostationary satellite data.

• Korean Journal of Food Science and Technology
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• v.36 no.4
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• pp.662-668
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• 2004

Ames test revealed most methanol extracts of 13 Korean wild mushroom species have strong antimutagenic effects against N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) and benzo(a)pyrene[B(a)P]. Methanol extracts of Coriolus versicolor and Phaeolepiota aurea showed 74-94 and 83-88% antimutagenic effects against MNNG and B(a)P in Salmonella typhimurium TA100 strain, while 89 and 91% inhibitions were observed against B(a)P in TA98 strain, respectively. Most water extracts of wild mushrooms did not show antimutagenic activeiy on MNNG and B(a)P. Wild mushrooms extracts inhibited human colon carcinoma cells (HT29), human hepatoma cell (HepG2), and humann histiocytic lymphoma cell (U937) dose-dependently, with most methanol extracts exhibiting stronger effect than water extracts, Highest toxicity was observed against HT-29 cells in methanol extracts of Coriolus versicolor and Phaeolepiota aurea, showing 84% inhibition at 1 mg/mL, whereas C. versicolor water extract showed 53-65% inhibition against HepG2 and U937. These extracts did not show cytotoxic effects against human lymphocyte. Results revealed wild mushrooms have strong antimutagenic and in vitro cytotoxic effects.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.10a
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• pp.67-69
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• 1999

산성물질들은 구름이나 안개가 생성될 때 내부로 녹아 들어가거나, 비가 내릴 때 녹아 들어가 구름, 안개, 비 중에 많은 양이 존재하며, 이 과정이 기체상 물질들이 대기 중에서 제거되는 주요한 과정이다. 구름이나 안개, 비 중에서 직접 산성오염물질이 생성되는 액상반응도 있고, 주로 아황산가스의 산화반응이 기여하고 있다고 알려져 있다(Hegg and Hobbs, 1978). 이렇게 생성된 대기 중 산성물질들은 대기에서 지표면으로 내려와 식물, 하천수, 호소수, 토양, 건축물 등에 영향을 준다.(중략)

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1497-1503
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• 2023

To address challenges in classifying clouds and snow cover when calculating ground reflectance in Near-UltraViolet (UV) wavelengths, this study introduces a methodology that combines cloud data from the Geostationary Environmental Monitoring Spectrometer (GEMS) and the Advanced Meteorological Imager (AMI)satellites for snow cover analysis. The proposed approach aims to enhance the quality of surface reflectance calculations, and combined cloud data were generated by integrating GEMS cloud data with AMI cloud detection data. When applied to compute GEMS surface reflectance, this fusion approach significantly mitigated underestimation issues compared to using only GEMS cloud data in snow-covered regions, resulting in an approximately 17% improvement across the entire observational area. The findings of this study highlight the potential to address persistent underestimation challenges in snow areas by employing fused cloud data, consequently enhancing the accuracy of other Level-2 products based on improved surface reflectivity.

• Journal of Korean Society for Atmospheric Environment
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• v.5 no.1
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• pp.43-51
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• 1989

개발된 산성비 모델에서는 다종의 대기오염물 제거로 인한 강우내의 화학성분과 산성도의 고도별 및 시간별 변화를 예측하기 위하여, 강우시 구름내와 밑에서 일어나는 대기 오염물의 강우내로의 물질전달 현상과 화학반응 현상을 동시에 고려하였다. 또한, 강우 산성도의 형성에 중요한 영향을 미치는 구름내에서의 복잡한 동력학적 특성을 고려하기 위하여 강우율의 높이별 변화를 단순화하여 해석하였다. 개발모델을 이용하여 1985년과 1987년 가을의 서울시 산성비에 대하여, 산성비 모델을 이용하여 추정한 pH값과 실측 pH값 사이의 상관관계는 0.57을 나타내었고, 효과적이고 정량적인 관리를 위하여 대기중의 이산화황 농도, 구름층의 두께, 지상에서의 강우율 및 황산이온의 형성에 중요한 역활을 하는 산화제들의 강우 산성도에 미치는 영향을 민감도 분석을 통해서 나타내었다.