• 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.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.149-152
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• 2007

The detection of yellow sand dust using satellite has been utilized from various bands from ultraviolet to infrared channels. Among them, Infrared channels have an advantage of detecting aerosols over high reflecting surface as well as during nighttime. Especially, brightness temperature difference between 11 and 12{\mu}m(BTD) was often used to distinguish between water cloud and yellow sand, because Ice and liquid water particles preferentially absorb longer wavelengths while aerosol particles preferentially absorb shorter wavelengths. We have found that the BTD significantly depends on surface temperature, emissivity, and zenith angle and thereby the threshold of BTD. In order to overcome these problems, we have constructed the background brightness temperature threshold of BTD and then subtracted it from BTD. Along with this, we utilized high temporal coverage of geostationary satellite, MTSAT-1R, to verify the reliability of the retrieved signal in conjunction with forecasted wind information. The statistical score test illustrated that this newly developed algorithm showed a promising result for detecting mineral dust by reducing the errors in the current BTD method.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2009년도 춘계학술대회 논문집
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• pp.227-236
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• 2009

낙뢰 발생에 따른 휘도온도 특성을 분석하기 위하여 MTSAT-1R 수증기와 적외 1채널에서 추정된 휘도 온도를 사용하여 낙뢰 발생 유무에 따른 휘도온도 특성을 분석하였다. 비(非) 낙뢰시 두 채널간의 휘도온도 차이가 큰 반면, 낙뢰가 발생했을 때 두 채널의 휘도온도가 225 K과 205 K 부근에서 2번의 최대 극대가 나타나며 휘도온도 차이가 0에 수렴하였다. 또한 낙뢰가 발생할 시에 두 채널간의 휘도온도 차이를 이용하여 Machado et al., (2008)이 남미지역에 제시한 확률적인 낙뢰빈도 예보법이 남한지역에도 적용 가능함을 보였다. 낙뢰 발생 시에 나타나는 위성 휘도온도의 분포를 및 특성을 이용하여 최근 5년(2002-2006)간 낙뢰활동이 가장 왕성했던 2006년 06월 10일의 사례에 적용한 결과, 기본적인 종관장 분석 자료 및 다중 채널 (수증기, 적외)간의 휘도온도 및 그 차이를 종합적으로 활용할 때 낙뢰 예측성의 향상 가능성을 확인하였다. 이러한 위성 자료를 이용한 낙뢰 분석은 MTSAT-1R과 유사하고 2009년 말에 발사 예정인 통신해양기상 위성 (COMS)의 악기상 활용성을 증대시키는데 도움이 될 것이다.