Ae-Sook Suh
Korea Meteorological Administration
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Publication
Featured researches published by Ae-Sook Suh.
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011 | 2011
Inchul Shin; Jong-Seo Park; Ae-Sook Suh; Sungwook Hong
Sea ice is a good indicator to monitor the global climate change. Many of previous studies using the satellite observations show a steady decline in Arctic sea ice. The study investigates the characteristics of the averaged surface roughness, and refractive index from March 2003 to July 2011 using the AMSR-E daily data. The surface roughness and refractive index of the sea ice is retrieved using a unique inversion algorithm based on the characteristics of the polarized reflectivities, the Hong approximation, and the incidence angles of the many current passive microwave satellite sensors. The averaged roughness and refractive index show the downward trend and opposite signature with an acceleration, respectively. From the seasonal variations, the averaged roughness and refractive index show the minimum and maximum values in the summer period, respectively. In addition, the annual peaks of two physical parameters exhibit the phase difference of a month. In conclusion, this research provides a physical explanation that the sea ice is melting increasingly using the satellite observation.
international geoscience and remote sensing symposium | 2002
Ae-Sook Suh; Sanghoon Lee; Kyung-Ja Ha
This study analyzed time variability of the normalized difference vegetation index (NDVI), the leaf area index (LAI) and surface temperature(T) estimated using AVHRR data observed from 1996 and 2000 over Korean Peninsula. In this study, the observed data series, which include many missing/bad values, were reconstructed as a complete image series with two-day interval using dynamic compositing.
international geoscience and remote sensing symposium | 2002
Yongseung Kim; Kwang-Hoon Chi; Sinjae Yoo; Ae-Sook Suh; Youn-Soo Kim; Hyo-Suk Lim; Hong-Yul Paik
Since the successful launch of KOrea Multi-Purpose SATellite-1 (KOMPSAT-1) on Dec. 21, 1999, the optical sensors of Electro-Optical Camera (EOC) and Ocean Scanning Multi-spectral Imager (OSMI) aboard KOMPSAT-1 have been observing the global land and ocean, respectively. KARI distributed the KOMPSAT-1 data to government agencies, government-supported research institutes and universities for public use. And Korea Aerospace Industries (KAI) undertook the data dissemination for commercial use. To promote the development of remote sensing technology using the KOMPSAT-1 data, KARI has been collaborating with three research groups, each representing land applications, marine applications, and meteorological applications. The studies of land application group demonstrated that the EOC data are useful in the area of mapping, surveillance, land cover mapping, land use analysis, and disaster monitoring. Although much effort has been made in the calibration and validation of OSMI data, they have been successfully used to monitor yellow dust, forest fire, red tide, and typhoon. The current sensor calibration efforts in collaboration with NASA are expected to bring more outcomes related to the ocean color research. The presentation will summarize the status of KOMPSAT-1 data applications and highlight some results obtained from the above research groups.
international geoscience and remote sensing symposium | 2002
Ae-Sook Suh; Mi-Hyang Kim; Chul-Uong Choi
Korea has been influenced by Asian dust since January 2001. This Asian dust not only causes low visibility but also is harmful to human health. Monitoring of Asian dust by satellite detection is most important for long range transportation and wide area detection. We derived an algorithm for Asian dust detection using Korean Multi-Purpose SATellite/Ocean Scanning Multispectral Imager (KOMPSAT/OSMI). To obtain the best wavelength band of the 6 spectral bands of OSMI for detection of Asian dust, the data was executed regional and spectrum analysis. We also compared spectral characteristics of OSMI with that of SeaWiFS has the same wavelength range. The result showed that band 5 (765 nm) and 6 (865 nm) of OSMI had the best spectral distribution. Therefore, only two. bands were applied to the algorithm for Asian dust detection. In a case study, Asian dust could be detected on April 13, 2001 from the algorithm. The dust had appeared over the Southern part of Korea Including Jeju island and showed the aerosol optical depth in the range of 0/spl sim/0.8 in OSMIs band 6, especially 0.5 near Jeju island. Also we compared it with that of MODerate resolution Imaging Spectroradiometer (MODIS) Level 2 products. According to result that compare, the distribution of Asian dust is similar.
Journal of remote sensing | 2008
Ki-Young Heo; Jae-Hwan Kim; Jae-Seol Shim; Kyung-Ja Ha; Ae-Sook Suh; Hyun-Mi Oh; Se-Yun Min
Atmosphere | 2010
Kwang-Jae Lee; Ki-Young Heo; Ae-Sook Suh; Jong-Seo Park; Kyung-Ja Ha
Atmosphere | 2013
Gyu-Ho Lim; Ae-Sook Suh; Ji-Hyun Ha
Journal of the Korean Association of Geographic Information Studies | 2002
Kyung-Ja Ha; Hyun-Mi Oh; Ae-Sook Suh; Jung-Hee Kim
BOLETÍN GEOLÓGICO Y MINERO | 2018
Gyu-Ho Lim; Ae-Sook Suh; Yong-Cheol Suh
한국기상학회 학술대회 논문집 | 2013
Gyu-Ho Lim; Ae-Sook Suh; Eunho Choi