Browse > Article
http://dx.doi.org/10.11108/kagis.2017.20.1.085

Applicability of Water Resource Specialized Satellites for Observing Disasters on the Korean Peninsula  

KIM, Dong-Young (K-water Convergence Institute)
BAECK, Seung-Hyub (K-water Convergence Institute)
PARK, Gwang-Ha (K-water Convergence Institute)
HWANG, Eui-Ho (K-water Convergence Institute)
CHAE, Hyo-Sok (K-water Convergence Institute)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.20, no.1, 2017 , pp. 85-97 More about this Journal
Abstract
In recent years, the damage scales of water disasters such as typhoons, tsunamis, and heavy snow have been increasing globally as a result of global warming and climate changes. In particular, the economic loss caused by typhoons has been increasing for overpopulated areas that have undergone economic development and urbanization since the 1960s. In this study, we investigated and analyzed satellite images captured before and after typhoons on the Korean peninsula, including Typhoon Chaba (2016), Typhoon Rusa ('02), and Typhoon Maemi ('03). There was a limitation in utilizing existing satellites. Domestic satellites have mostly been developed and operated for the observation of the weather, ocean, and topography, as well as for use in communication. There are therefore insufficient temporal and spatial observations for water management and disaster response. In this work, we expanded the scope to overseas satellites and collected data from GMS, TRMM, COMS, and GPM. In the future, it will be necessary to develop and launch water resources satellites that can provide sufficient temporal and spatial data analysis units to obtain rapid and accurate water hazard information for the Korean peninsula.
Keywords
Water Disaster; Typhoon; Satellite Data; Temporal and Spatial Data; Water Resource Satellites;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Han, J.G., S.P. Kim, D.H. Chang, and T.S. Chang. 2009. Estimation of inundation damages of urban area around Haeundae Beach induced by super storm surge using airborne LiDAR data. The Journal of GIS Association of Korea 17(3):341-350 (한종규, 김성필, 장동호, 장태수. 2009. 항공 LiDAR 자료를 이용한 슈퍼태풍 내습시 해운대 해수욕장 인근 도심지역 침수 피해 규모 추정, 한국공간정보시스템학회 논문지 17(3):341-350).
2 Hong, S.S., D.S. Jung, E.H. Hwang, and H.S. Chae. 2016. A study on watershed analysis of the expected flood inundation area in South Han River. Journal of the Korean Association of Geographic Information Studies 19(1):106-119 (홍성수, 정다솜, 황의호, 채효석. 2016. 남한강 유역의 침수예상지역에 대한 홍수범람분석에 관한 연구. 한국지리정보학회지 19(1):106-119).   DOI
3 Kim, G.S. and S.Y. Cho. 2012. Summer precipitation forecast using satellite data and numerical weather forecast model data. Korea Water Resources Association 45(7):631-641 (김광섭, 조소현. 2012. 광역위성 영상과 수치예보자료를 이용한 여름철 강수량 예측. 한국수자원학회 45(7):631-641).   DOI
4 Lee, S.W. and G.Y. Choi. 2013. Spatiotemporal patterns of extreme precipitation events by typhoons across the Republic of Korea. The Korean Association Of Regional Geographers 19(3):384-400 (이승욱, 최광용. 2013. 태풍 내습 시남한의 극한강수현상의 시.공간적 패턴. 한국지역지리학회지 19(3):384-400).
5 NASA Jet Propulsion Laboratory. https://aria.jplk.nasa.gov/case_studies (Accessed November 17, 2016).
6 NASA Precipition Measurement Missons. http://pmm.nasa.gov (Accessed November 17, 2016).
7 Park, J.K., B.S. Kim, W.S. Jung, E.B. Kim, and D.G. Lee. 2006. Change in statistical characteristics of typhoon affecting the Korean Peninsula. Atmosphere 16(1):1-17 (박종길, 김병수, 정우식, 김은별, 이대근. 2006. 한반도에 영향을 주는 태풍의 통계적 특성 변화. 대기 16(1):1-17).
8 Yun, H.C., K.S. Min, and M.G. Kim. 2010. Construction of multi-purpose hazard information map based on digital image using geospatial information. Journal of the Korean Association of Geographic Information Studies 13(3):91-101 (윤희천, 민관식, 김민규. 2010. 지형공간정보를 활용한 수치영상기반의 다목적 재해정보지도 구축. 한국지리정보학회지 13(3):91-101).
9 Korea Water Resources Corporation. 2016. Pre-planning for technology development of satellite payload technology for water resources. pp.44-83 (한국수자원공사. 2016. 수자원 전용 위성 탑재체 기술 개발 추진을 위한 사전기획 보고서. 44-83쪽).
10 Kim, J.H., C.H. Heo, and J.J. Baik. 2002. A study on typhoons passing around the Korean Peninsula during 1951-2001. Atmosphere 12(3):436-439 (김주홍, 허창회, 백종진. 2002. 1951-2001동안 한반도 주변을 통과하는 태풍에 대한 연구. 대기 12(3):436-439).
11 Kim, J.H., Y.S. Choi, and K.T. Kim. 2015. Flow estimation using rainfalls derived from multiple satellite images in North Korea, Journal of the Korean Association of Geographic Information Studies 18(4): 31-42 (김주훈, 최윤석, 김경탁. 2015. 위성 강우자료를 이용한 북한지역 홍수량 추정. 한국지리정보학회지 18(4):31-42).   DOI
12 Korea Meteorological Administration. http://kma.go.kr (Accessed Nov. 29, 2016).
13 Lee, E.G. and H.Y. Lee. 1998. Spatial distribution and causative factors of typhoon disasters in Korea. The Korean Geographical Society 33(2):179-190 (이은걸, 이현영. 1998. 한국의 태풍재해의 공간분포와 발생요인. 대한지리학회지 33(2):179-190).
14 Lee, S.S. and G.Y. Kim. 2012. Development of empirical typhoon tracking model around Korean Peninsula. The Wind Engineering Institute of Korea 16(2):65-72 (이승수, 김가영. 2012. 한반도 근역의 태풍시뮬레이션을 위한 경험적 태풍진로모형 개발. 한국풍공학회지 16(2):65-72).
15 Doopedia. http://www.doopedia.co.kr. (Accessed December 13, 2016)