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RISS 인기검색어
- 검색키워드
- 저자 : 郭宗欽(Chong Heum Kwak) (검색결과 23 건)
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서명석,곽종흠,김희수,김맹기,Suh, Myoung-Seok,Kwak, Chong-Heum,Kim, Hee-Soo,Kim, Maeng-Ki 한국지구과학회 2001 한국지구과학회지 Vol.22 No.2
이 연구에서는 극궤도 기상위성인 NOAA/AVHRR 시계열 자료를 이용하여 한반도의 지면 피복을 분류하였다. 일주기 기상위성자료로부터 구름이 없는 상태의 지면상태 자료를 획득하기 위하여 10일 간격 최대치 합성법 자료를 작성하였으며 27개의 10일주기 식생지수 자료들(겨울철 12, 1, 2월 자료 9개 제외)로부터 4개의 식생 계절성 자료를 작성하였다. 또한 위성자료로부터 분석한 연 최고 및 연평균 지면온도, 그리고 지형고도 자료를 이용하였다. 각 지면 피복에 대한 특성 자료 수집이 어렵기 때문에 여기서는 2단계 무감독 분류법을 이용하였다. 즉, 초기 입력자료는 신경망 기법의 일종인 SOFM을 이용하여 군집화한 다음 결정나무를 이용하여 각 군집을 분류하였다. 최종 분류 결과는 식생지수의 시계열과 지상 자료로 검증한 결과 대도시, 농지, 낙엽수림 및 상록수림 등 우리 나라의 지면 피복을 개략적으로 잘나타내고 있는 것으로 판단된다. The land cover over Korean peninsula was classified using a multi-temporal NOAA/AVHRR (Advanced Very High Resolution Radiometer) data. Four types of phenological data derived from the 10-day composited NDVI (Normalized Differences Vegetation Index), maximum and annual mean land surface temperature, and topographical data were used not only reducing the data volume but also increasing the accuracy of classification. Self organizing feature map (SOFM), a kind of neural network technique, was used for the clustering of satellite data. We used a decision tree for the classification of the clusters. When we compared the classification results with the time series of NDVI and some other available ground truth data, the urban, agricultural area, deciduous tree and evergreen tree were clearly classified.
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대한해협과 동중국해의 해황과 수괴의 계절분포: 대기에 의한 냉각효과 보정
신홍렬,황상철,곽종흠,Shin, Hong-Ryeol,Hwang, Sang-Chul,Kwak, Chong-Heum 한국지구과학회 2001 한국지구과학회지 Vol.22 No.1
Water mass classification was conducted using the data of 1985 and 1986 in the East China Sea and the Korea Strait. Kuroshio water (type K) and mixed water (type I) were broadly distributed at 50 m depth in winter and spring, and mixed waters (type I to IV) were distributed in summer and autumn. At 100 m depth of the East China Sea, and mixed water (type I) was broadly distributed in winter and spring, and mixed waters (type I to III) were in summer, and type I was in autumn. Water mass in summer is the most influenced from the Chinese coastal water. In the Korea Strait, the Kuroshio water (type K) was the main water mass in winter and spring, and mixed waters (type I to IV) were in summer and autumn. If temperatures are corrected to remove the cooling effect from the atmosphere, the Kuroshiowater region was diminished, however the mixed water region was expanded in winter and spring. This shows that although the Kuroshio water appears to be a main water mass of the East China Sea and the Korea Strait in winter andspring, in reality the mixed water (type I) which is slightly changed from the Kuroshio water (type K) widely distributed. The tongue-shaped distribution of low density surface water indicates that the water mixed with the Chinese coastal water flows to the Korea Strait and the Okinawa in summer. 대한해협과 동중국해에서 1985년과 1986년에 관측한 수온, 염분자료를 사용하여 수괴를 분석하였다. 대한해협과 동중국해 수심 50m에서의 수괴 분포 특성은, 겨울과 봄철에는 쿠로시오 해수(수괴 K) 및 쿠로시오계 혼합수(수괴I), 여름과 가을철에는 대륙 연안수의 영향을 많이 받은 혼합수(수괴 I${\sim}$IV)의 수괴분포가 넓게 나타났다. 겨울과 봄에 수심 loom의 동중국해는 주로 쿠로시오 해수(수괴 K) 및 쿠로시오계 혼합수(수괴 I)가 넓게 분포하고 있었다. 여름에는 혼합수(수괴 I${\sim}$III)가 널리 나타나 연중 여름에 가장 혼합이 많이 된 수괴가 분포하고 있는 것이 특징이었다. 가을에는 쿠로시오계 혼합수(수괴 I)가 주요 수괴였다. 대한해협에서는 겨울과 봄에는 쿠로시오 해수(수괴 K), 여름과 가을에는 혼합수(수괴 I${\sim}$IV)가 주로 분포하고 있었다. 겨울과 봄철에 대기로부터의 냉각에 의한 보정을 하면,쿠로시오 해수(수괴 K)의 분포해역이 줄어든 대신에 쿠로시오계 혼합수(수괴 I)의 분포 해역이 늘어났다. 즉, 동중국해와 대한해협에서 겨울과 봄에 주로 쿠로시오 해수(수괴 K)가 분포하는 것처럼 보이지만,실제는 약간 변질된 쿠로시오계 혼합수(수괴 I)가 넓게 분포하고 있는 것이다. 계절별 해황특성으로 여름철에 표층 저밀도수의 분포가 대한해협과 오끼나와 쪽으로 향하는 두 갈래 혀 모양의 형태를 나타내고 있었다. 이것은 중국대륙 연안수와 혼합된 저밀도 표층수의 흐름이 대한해협과 동중국해 동남쪽으로 향하고 있는 것으로 사료된다.
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강전호(Jeon-Ho Kang),서명석(Myoung-Seok Suh),곽종흠(Chong-Heum Kwak) 한국기상학회 2007 대기 Vol.17 No.2
A comparison of the three land cover data sets (United States Geological Survey: USGS, International Geosphere Biosphere Programme: IGBP, and University of Maryland: UMd), derived from 1992-1993 Advanced Very High Resolution Radiometer(AVHRR) data sets, was performed over the Asian continent. Preprocesses such as the unification of map projection and land cover definition, were applied for the comparison of the three different land cover data sets. Overall, the agreement among the three land cover data sets was relatively high for the land covers which have a distinct phenology, such as urban, open shrubland, mixed forest, and bare ground (> 45%). The ratios of triple agreement (TA), couple agreement (CA) and total disagreement (TD) among the three land cover data sets are 30.99%, 57.89% and 8.91%, respectively. The agreement ratio between USGS and IGBP is much greater (about 80%) than that (about 32%) between USGS and UMd (or IGBP and UMd). The main reasons for the relatively low agreement among the three land cover data sets are differences in 1) the number of land cover categories, 2) the basic input data sets used for the classification, 3) classification (or clustering) methodologies, and 4) level of preprocessing. The number of categories for the USGS, IGBP and UMd are 24, 17 and 14, respectively. USGS and IGBP used only the 12 monthly normalized difference vegetation index (NDVI), whereas UMd used the 12 monthly NDVI and other 29 auxiliary data derived from AVHRR 5 channels. USGS and IGBP used unsupervised clustering method, whereas UMd used the supervised technique, decision tree using the ground truth data derived from the high resolution Landsat data. The insufficient preprocessing in USGS and IGBP compared to the UMd resulted in the spatial discontinuity and misclassification.
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강전호(Jeon-Ho Kang),서명석(Myoung-Seok Suh),곽종흠(Chong-Heum Kwak) 한국기상학회 2009 대기 Vol.19 No.2
To improve the performance of climate and numerical models, concerns on the land-atmosphere schemes are steadily increased in recent years. For the realistic calculation of land-atmosphere interaction, a land surface information of high quality is strongly required. In this study, a new land cover map over the Korean peninsula was developed using MODIS (MODerate resolution Imaging Spectroradiometer) data. The seven phenological data set (maximum, minimum, amplitude, average, growing period, growing and shedding rate) derived from 15-day normalized difference vegetation index (NDVI) were used as a basic input data. The ISOData (Iterative Self-Organizing Data Analysis), a kind of unsupervised non-hierarchical clustering method, was applied to the seven phenological data set. After the clustering, assignment of land cover type to the each cluster was performed according to the phenological characteristics of each land cover defined by USGS (US. Geological Survey). Most of the Korean peninsula are occupied by deciduous broadleaf forest (46.5%), mixed forest (15.6%), and dryland crop (13%). Whereas, the dominant land cover types are very diverse in South-Korea: evergreen needleleaf forest (29.9%), mixed forest (26.6%), deciduous broadleaf forest (16.2%), irrigated crop (12.6%), and dryland crop (10.7%). The 38 in-situ observation data-base over South-Korea, Environment Geographic Information System and Google-earth are used in the validation of the new land cover map. In general, the new land cover map over the Korean peninsula seems to be better classified compared to the USGS land cover map, especially for the Savanna in the USGS land cover map.
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