• 제목/요약/키워드: yellow index difference

검색결과 36건 처리시간 0.034초

Fundamental Research on Spring Season Daytime Sea Fog Detection Using MODIS in the Yellow Sea

  • Jeon, Joo-Young;Kim, Sun-Hwa;Yang, Chan-Su
    • 대한원격탐사학회지
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    • 제32권4호
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    • pp.339-351
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    • 2016
  • For the safety of sea, it is important to monitor sea fog, one of the dangerous meteorological phenomena which cause marine accidents. To detect and monitor sea fog, Moderate Resolution Imaging Spectroradiometer (MODIS) data which is capable to provide spatial distribution of sea fog has been used. The previous automatic sea fog detection algorithms were focused on detecting sea fog using Terra/MODIS only. The improved algorithm is based on the sea fog detection algorithm by Wu and Li (2014) and it is applicable to both Terra and Aqua MODIS data. We have focused on detecting spring season sea fog events in the Yellow Sea. The algorithm includes application of cloud mask product, the Normalized Difference Snow Index (NDSI), the STandard Deviation test using infrared channel ($STD_{IR}$) with various window size, Temperature Difference Index(TDI) in the algorithm (BTCT - SST) and Normalized Water Vapor Index (NWVI). Through the calculation of the Hanssen-Kuiper Skill Score (KSS) using sea fog manual detection result, we derived more suitable threshold for each index. The adjusted threshold is expected to bring higher accuracy of sea fog detection for spring season daytime sea fog detection using MODIS in the Yellow Sea.

The Detection of Yellow Sand Using MTSAT-1R Infrared bands

  • Ha, Jong-Sung;Kim, Jae-Hwan;Lee, Hyun-Jin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.236-238
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    • 2006
  • An algorithm for detection of yellow sand aerosols has been developed with infrared bands from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-functional Transport Satellite-1 Replacement (MTSAT-1R) data. The algorithm is the hybrid algorithm that has used two methods combined together. The first method used the differential absorption in brightness temperature difference between $11{\mu}m$ and $12{\mu}m$ (BTD1). The radiation at 11 ${\mu}m$ is absorbed more than at 12 ${\mu}m$ when yellow sand is loaded in the atmosphere, whereas it will be the other way around when cloud is present. The second method uses the brightness temperature difference between $3.7{\mu}m$ and $11{\mu}m$ (BTD2). The technique would be most sensitive to dust loading during the day when the BTD2 is enhanced by reflection of $3.7{\mu}m$ solar radiation. We have applied the three methods to MTSAT-1R for derivation of the yellow sand dust and in conjunction with the Principle Component Analysis (PCA), a form of eigenvector statistical analysis. As produced Principle Component Image (PCI) through the PCA is the correlation between BTD1 and BTD2, errors of about 10% that have a low correlation are eliminated for aerosol detection. For the region of aerosol detection, aerosol index (AI) is produced to the scale of BTD1 and BTD2 values over land and ocean respectively. AI shows better results for yellow sand detection in comparison with the results from individual method. The comparison between AI and OMI aerosol index (AI) shows remarkable good correlations during daytime and relatively good correlations over the land.

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MODIS 적외채널 배경 밝기온도차를 이용한 동북아시아 황사 탐지 (Detection of Yellow Sand Dust over Northeast Asia using Background Brightness Temperature Difference of Infrared Channels from MODIS)

  • 박주선;김재환;홍성재
    • 대기
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    • 제22권2호
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    • pp.137-147
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    • 2012
  • The technique of Brightness Temperature Difference (BTD) between 11 and $12{\mu}m$ separates yellow sand dust from clouds according to the difference in absorptive characteristics between the channels. However, this method causes consistent false alarms in many cases, especially over the desert. In order to reduce these false alarms, we should eliminate the background noise originated from surface. We adopted the Background BTD (BBTD), which stands for surface characteristics on clear sky condition without any dust or cloud. We took an average of brightness temperatures of 11 and $12{\mu}m$ channels during the previous 15 days from a target date and then calculated BTD of averaged ones to obtain decontaminated pixels from dust. After defining the BBTD, we subtracted this index from BTD for the Yellow Sand Index (YSI). In the previous study, this method was already verified using the geostationary satellite, MTSAT. In this study, we applied this to the polar orbiting satellite, MODIS, to detect yellow sand dust over Northeast Asia. Products of yellow sand dust from OMI and MTSAT were used to verify MODIS YSI. The coefficient of determination between MODIS YSI and MTSAT YSI was 0.61, and MODIS YSI and OMI AI was also 0.61. As a result of comparing two products, significantly enhanced signals of dust aerosols were detected by removing the false alarms over the desert. Furthermore, the discontinuity between land and ocean on BTD was removed. This was even effective on the case of fall. This study illustrates that the proposed algorithm can provide the reliable distribution of dust aerosols over the desert even at night.

The Detection of Yellow Sand with Satellite Infrared bands

  • Ha, Jong-Sung;Kim, Jae-Hwan;Lee, Hyun-Jin
    • 대한원격탐사학회지
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    • 제22권5호
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    • pp.403-406
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    • 2006
  • An algorithm for detection of yellow sand aerosols has been developed with infrared bands. This algorithm is a hybrid algorithm that has used two methods combined. The first method used the differential absorption in brightness temperature difference between $11{\mu}m\;and\;12{\mu}m\;(BTD1)$. The radiation at $11{\mu}m$ is absorbed more than at $12{\mu}m$ when yellow sand is loaded in the atmosphere, whereas it will be the other way around when cloud is present. The second method uses the brightness temperature difference between $3.7{\mu}m\;and\;11{\mu}m(BTD2)$. This technique is sensitive to dust loading, which the BTD2 is enhanced by reflection of $3.7{\mu}m$ solar radiation. First the Principle Component Analysis (PCA), a form of eigenvector statistical analysis from the two methods, is performed and the aerosol pixel with the lowest 10% of the eigenvalue is eliminated. Then the aerosol index (AI) from the combination of BTD 1 and 2 is derived. We applied this method to Multi-functional Transport Satellite-l Replacement (MTSAT-1R) data and obtained that the derived AI showed remarkably good agreements with Ozone Mapping Instrument (OMI) AI and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth.

황색계 천연염료에 의한 셀룰로스, 단백질계 섬유의 염색 (The Dyeing Properties of Cellulose and Protein Fabrics by Yellow Natural Dyes)

  • 신영준
    • 한국의상디자인학회지
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    • 제19권1호
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    • pp.135-145
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    • 2017
  • In order to analysis on color difference of yellow natural dyes, I have dyed cellulose and protein fabrics. The results of experiment have been analysed by wavelength of maximum absorption, amounts of dye uptake, color difference, Hunter's value and Munsell's value. The results from these analyses are as follows : Bud of pagoda tree, Amur cork, and Curcuma showed greenish yellow color, Gardenia Jasminoides showed reddish yellow color. Barberry root showed reddish yellow color with post-mordanting method on cellulose fabric. Moreover, Dupioni silk was dyed in reddish yellow color by Barberry root and Rhubarb. In addition to Chroma index, Gardenia Jasminoides and Curcuma showed clear color overall. However, dyeing rayon and silk by Barberry root, and dyeing silk by Rhubarb showed clear color. Comparing all the results to actual dyed materials, Bud of pagoda tree had small dye uptake, and both ${\Delta}a$ and ${\Delta}b$ value were short which can't recognized the yellow color easily. Dye uptake of Amur cork and Gardenia Jasminoides was small just like Bud of pagoda tree. However, ${\Delta}b$ value order was Gardenia Jasminoides>Amur cork>Bud of pagoda tree. Therefore, Gardenia Jasminoides recognized reddish yellow because of big value of red color and yellow color. In case of Barberry root and Rhubarb which have larger dye uptake, Baberry root recognized yellow color on rayon only, and couldn't recognized yellow color on bleached cotton fabric, ramie, silk, and dupioni silk. Rhubarb recognized yellow color on rayon with pre-mordanting method only, but recognized silk and dupioni silk as brown like color. Moreover, we could not analyze color by dye uptake, Lab, and H(v/c) for Barberry root and Rhubarb. As a result, I think we need to attach color table for the research paper which handled the color of dyeing materials.

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국내에서 채집된 뱀장어 Anguilla japonica (Anguillidae)의 Silvering index와 생식소 발달 단계가 서로 다른 Pseudo-silver eels의 출현 (The Occurrence of Pseudo-silver eels with Different Silvering Index and Gonadal Development Stages in Anguilla japonica (Anguillidae) from Korean waters)

  • 홍양기;송미영;박희원;강정하;이완옥
    • 한국어류학회지
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    • 제29권2호
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    • pp.94-100
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    • 2017
  • 2014년 9월부터 2015년 8월까지 국내 9개 지점에서 채집된 Anguilla japonica 454개체의 생물학적 특성을 조사한 결과, silvering index (SI) 구분과 GSI의 차이가 큰 pseudo-silver eel이 소양호에서 2개체(PS1~PS2)와 금강하구에서 1개체(PS3)가 확인되었다. Pseudo-silver eel은 외부형태 기준으로는 S2 단계였으나, GSI, 소화관지수 (Gut index) 및 안경지수 (Eye index)에서는 모두 yellow eel 단계인 Y1 및 Y2였고, 생식소발달단계와 난경에서도 Y2 단계였다.

Population Biology of Korean Pomfret Pampus echinogaster (Basilewsky, 1855) (Perciformes: Stromateidae) on the Western Coast of Korea, Yellow Sea

  • Oh, Chul-Woong;Na, Jong-Hun;Kim, Jin-Koo
    • Animal cells and systems
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    • 제13권1호
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    • pp.83-89
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    • 2009
  • Investigations were made on population biology of Pampus echinogaster (Basilewsky, 1855) in the coastal areas of Korea, Yellow Sea, between August 2005 and July 2006. Population structure was not significantly different between male and females. Monthly variation of gonadosomatic index (GSI) of both sexes defined spawning period extending from March through July. A similar pattern was also observed in change at maturity stages. For males and females GSI was positively correlated with hepatosomatic index (HSI). Fecundity, ranging from 41,250 to 103,610 eggs, was related to body size, indicating that body size is the useful determinant of fecundity. The sexual maturity ($L_{50}$) was estimated as 14.98 cm TL for males and 19.32 cm TL for females. Parameters of growth estimated by the modified von Bertalanffy growth function model showed that the values of $L_{\infty}$ and K for combined data were 39.12 cm TL and 0.65 $yr^{-1}$. The growth performance index of this study (2.75) was higher than that of the previous study (2.45). This difference could be attributed to sampling method. The recruitment patterns indicated one normally distributed group. Percentage of the recruitment was 51.04% in the spawning season and the highest in August (19.78%).

보리순 분말의 첨가가 Yellow Layer Cake의 품질특성에 미치는 영향 (Effects of Young Barley Leaf Powders on the Quality Characteristics of Yellow Layer Cakes)

  • 김영애
    • 한국식품저장유통학회지
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    • 제18권6호
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    • pp.830-835
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    • 2011
  • 보리순 분말이 yellow layer cake의 품질 특성에 미치는 영향을 조사하기 위하여 보리순 분말을 밀가루의 0, 2, 4, 6, 및 8%의 수준으로 대체하여 첨가하였다. 보리순 분말을 함유한 반죽의 점성은 대조구보다 증가하였으며 반죽의 비중은 낮게 나타났다. 케이크의 비체적은 시료간에 차이가 없는 것으로 나타났다. Volume index는 대조구가 가장 낮게 나타났으며 symmetry index와 uniformity index는 차이가 없는 것으로 나타났다. 보리순 분말의 함량이 커질수록 껍질 특유의 적갈색이 나타나지 않았으며, 내부색은 보리순의 함량이 증가할수록 진한 녹색을 나타냈다. 저장기간 동안의 경도는 보리순 분말을 6%, 8% 함유한 케이크들이 낮게 나타났다. 관능검사 결과는 8% 케이크에 대한 기호도가 다른 시료들 보다 낮은 것으로 나타났으나, 그 외 보리순 분말을 2%, 4%, 및 6% 함유한 케이크들은 내부색을 제외하고는 대조구와 유의적인 차이가 나타나지 않았다. 따라서 본 실험에서는 밀가루의 일부를 보리순으로 대체하여 yellow layer cake를 제조하는 경우에는 6% 이하의 농도에서는 케이크의 품질이나 기호도에 영향을 미치지 않는 것으로 나타났다.

수용성(水溶性) 아크릴 수지(樹脂)의 자외선(紫外線) 흡수제(吸收劑)와 HALS 첨가(添加)가 일본잎갈나무의 변색(變色)에 미치는 영향(影響) (Effects of UV Absorber and HALS(Hindered Amine Light Stabilizer) Addition in Water-soluble Acrylic Resin on Discoloration of Larix leptolepis (S. et Z.) Gordon)

  • 강경택;이필우
    • Journal of the Korean Wood Science and Technology
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    • 제24권4호
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    • pp.47-55
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    • 1996
  • UV transmission spectra of water-soluble acrylic resin films containing hydroxybenzophenolic, hydroxyphenylbenzotriazolic UV absorber and HALS(hindered amine light stabilizer) were investigated by exposure time(before exposure weathered for 160 and 320hours) in QUV Weather-Ometer. Also the YID(yellowness index difference), LID(lightness index difference) and CD(color difference) of dried water-soluble acrylic resin films and the coated woods of Larix leptolepis were analyzed by addition level of UV absorber(0, 1, 2 and 3%) and HALS(0, 0.5, 1 and 1.5%) and by exposure time in QUV Weather-Ometer. They showed no significant effects on UV transmission spectra of dried water-soluble acrylic resin films in the range of 300 to 400nm irrespective of exposure time. However, UV transmission decreased as increase of exposure time. UV transmission spectra were lower in dried water-soluble acrylic resin films containing hydroxybenzophenolic UV absorber and HALS than in these containing hydroxyphenylbenzotriazolic UV absorber and HALS in the range of 350 to 400nm. The least YID, LID and CD in the coated woods of Larix leptolepis appeared at the addition level of 3%, based on non-volatile content, in hydroxybenzophenolic and hydroxyphenylbenzotriazolic UV absorber, and of 1.5% in HALS to water-soluble acrylic resin.

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Analysis of Optical Properties with Photopolymers for Holographic Application

  • Kim Nam;Hwang Eun-Seop;Shin Chang-Won
    • Journal of the Optical Society of Korea
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    • 제10권1호
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    • pp.1-10
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    • 2006
  • Optical transparency and high diffraction efficiency are two essential factors for high performance of the photopolymer. Optical transparency mainly depends on the miscibility between polymer binder and photopolymerized polymer, while diffraction efficiency depends on the refractive index modulation between polymer binder and photopolymerized polymer. For most of organic materials, the large refractive index difference between two polymers accompanies large structural difference that leads to the poor miscibility and thus poor optical quality via light scattering. Therefore, it is difficult to design a high-performance photopolymer satisfying both requirements. In this work, first, we prepared a new phase-stable photopolymer (PMMA) with large refractive index modulation and investigated the optical properties. Our photopolymer is based on modified poly (methyl methacrylate) as a polymer binder, acryl amide as a photopolymerizable monomer, triethanolamine as initiator, and yellow eosin as a photosensitizer at 532 nm. Diffraction efficiency over 85% and optical transmittance over 90% were obtained for the photopolymer. Second, Organic-inorganic nanocomposite films were prepared by dispersing an aromatic methacrylic monomer and a photo- initiator in organic-inorganic hybrid sol-gel matrices. The film properties could be controlled by optimizing the content of an organically modified silica precursor (TSPEG) in the sol-gel matrices. The photopolymer film modified with the organic chain (TSPEG) showed high diffraction efficiency (> 90%) under an optimized condition. High diffraction efficiency could be ascribed to the fast diffusion and efficient polymerization of monomers under interference light to generate refractive index modulation. The TSPEG modified photopolymer film could be successfully used for holographic memory.