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    우리나라의 지역 가뭄 평가를 위한 MODIS DSI 활용 = MODIS DSI for Evaluation of the Local Drought Events in Korea

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    https://www.riss.kr/link?id=A101809933

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    As the drought disasters are increased in the world, the need of study using satellite image data is on the rise. This study is conducted to analyze the drought in the region using satellite image, and to analyze the correlation with the standard precipitation index (SPI) and the actual drought cases. We selected Dongducheon and Taebaek region for domestic major drought (2001, 2008-2009). The correlation with the SPI and the observed water level data was analyzed using the $0.05^{\circ}$ spatial resolution and 8days MODIS DSI (Drought Severity Index). In Dongducheon, 6-months DSI has a correlation of 0.71 with the SPI (30). In Taebaek, the correlation between 6-months DSI and SPI (90) was a 0.40 and showed an average hit ratio of 65.7% in comparing with the observed water level of study area. In summary, this study showed a limited correlation between DSI based on satellite images and meteorological drought index SPI and confirmed the possibility of using DSI for the domestic study.
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    As the drought disasters are increased in the world, the need of study using satellite image data is on the rise. This study is conducted to analyze the drought in the region using satellite image, and to analyze the correlation with the standard prec...

    As the drought disasters are increased in the world, the need of study using satellite image data is on the rise. This study is conducted to analyze the drought in the region using satellite image, and to analyze the correlation with the standard precipitation index (SPI) and the actual drought cases. We selected Dongducheon and Taebaek region for domestic major drought (2001, 2008-2009). The correlation with the SPI and the observed water level data was analyzed using the $0.05^{\circ}$ spatial resolution and 8days MODIS DSI (Drought Severity Index). In Dongducheon, 6-months DSI has a correlation of 0.71 with the SPI (30). In Taebaek, the correlation between 6-months DSI and SPI (90) was a 0.40 and showed an average hit ratio of 65.7% in comparing with the observed water level of study area. In summary, this study showed a limited correlation between DSI based on satellite images and meteorological drought index SPI and confirmed the possibility of using DSI for the domestic study.

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    참고문헌 (Reference)

    1 김민석, "한반도 목표 표준강수지수(SPI) 산정에 관한 연구" 대한토목학회 34 (34): 1117-1123, 2014

    2 서찬양, "인공위성 가뭄지수를 활용한 한반도 가뭄 평가; 2013년 남부지방가뭄을 대상으로" 한국방재학회 14 (14): 127-131, 2014

    3 이보람, "기상학적 가뭄지수와 수문학적 가뭄지수의 비교" 한국수자원학회 48 (48): 69-78, 2015

    4 김광섭, "관측 자료를 이용한 가뭄지수의 평가" 한국수자원학회 44 (44): 639-652, 2011

    5 박정술, "가뭄모니터링을 위한 MODIS NDVI의 활용성 평가: 가뭄지수와의 비교를 중심으로" 한국공간정보학회 17 (17): 117-129, 2009

    6 "Water Resources Management Information System"

    7 Choi, M. H., "Utilization of satellite imagery in hydro-meteorological sector" 10 (10): 40-43, 2010

    8 Bae, D. H., "Utilization of satellite data for drought monitoring" 15 (15): 71-76, 2013

    9 Wilhite, D. A., "Understanding: The drought phenomenon: The role of definitions" Taylor & Francis 10 (10): 111-120, 1985

    10 Orvos, P. I., "Trend analysis of a new MODIS drought severity index with emphasis on the carpathian basin" 118 (118): 323-333, 2014

    1 김민석, "한반도 목표 표준강수지수(SPI) 산정에 관한 연구" 대한토목학회 34 (34): 1117-1123, 2014

    2 서찬양, "인공위성 가뭄지수를 활용한 한반도 가뭄 평가; 2013년 남부지방가뭄을 대상으로" 한국방재학회 14 (14): 127-131, 2014

    3 이보람, "기상학적 가뭄지수와 수문학적 가뭄지수의 비교" 한국수자원학회 48 (48): 69-78, 2015

    4 김광섭, "관측 자료를 이용한 가뭄지수의 평가" 한국수자원학회 44 (44): 639-652, 2011

    5 박정술, "가뭄모니터링을 위한 MODIS NDVI의 활용성 평가: 가뭄지수와의 비교를 중심으로" 한국공간정보학회 17 (17): 117-129, 2009

    6 "Water Resources Management Information System"

    7 Choi, M. H., "Utilization of satellite imagery in hydro-meteorological sector" 10 (10): 40-43, 2010

    8 Bae, D. H., "Utilization of satellite data for drought monitoring" 15 (15): 71-76, 2013

    9 Wilhite, D. A., "Understanding: The drought phenomenon: The role of definitions" Taylor & Francis 10 (10): 111-120, 1985

    10 Orvos, P. I., "Trend analysis of a new MODIS drought severity index with emphasis on the carpathian basin" 118 (118): 323-333, 2014

    11 Yoo, J. Y., "The utilization of MODIS LST imagery for droughts monitoring in the Korean peninsula" KOSHAM 350-353, 2010

    12 Taebaek city, "The statistical year book of Taebaek" 2010

    13 Dongducheon city, "The statistical year book of Dongducheon"

    14 McKee, T. B., "The relationship of drought frequency and duration to time scales" 179-184, 1993

    15 Korea Institute of Civil Engineering and Building Technology, "The 2001 great drought in the central region of Korea"

    16 Taebaek city, "Taebaek drought White Paper" 2009

    17 Mu, Q., "Satellite assessment of land surface evapotranspiration for the pan-Arctic domain" 45 : 09420-, 2009

    18 "Numerical Terradynamic Simulation Group at the University of Montana"

    19 National Oceanic and Atmospheric Administration, "NOAA's top global weather, water and climate events of the 20 th century" NOAA

    20 "Korea Meteorological Administration"

    21 Oh, S. B., "Introduction of east asian drought monitoring system" 6 : 9-12, 2010

    22 Mu, Q., "Improvements to a MODIS global terrestrial evapotranspiration algorithm" 115 (115): 1781-1800, 2011

    23 Lee, J. H., "Establishment of national drought management information system" 39 (39): 29-36, 2006

    24 Wilhite, D. A., "Drought: A Global Assessment (Volumes 1 and 2)" Routledge Publishers 2000

    25 Ministry of Construction and Transportation, "Drought research report 2001" 2002

    26 McKee, T. B., "Drought monitoring with multiple time scales" 1995

    27 Yang, B., "Drought monitoring in North China using HJ-1 satellite remote sensing data" 7841 : 2010

    28 Korea Meteorological Administration, "Development of hydro-meteorological early warning system for response to climate change" 2012

    29 Mu, Q., "Development of a global evapotranspiration algorithm based on MODIS and global meteorology data" 111 (111): 519-536, 2007

    30 Zhang, X. Q., "Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009-2010 drought over southwestern China" 74 (74): 2129-2145, 2014

    31 Dai, A., "Characteristics and trends in various forms of the Palmer drought severity index during 1900-2008" 116 : 2011

    32 Ji, L., "Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices" 87 (87): 85-98, 2003

    33 Shin, S. C., "Analysis of drought detection and propagation using satellite data" 4 (4): 61-69, 2004

    34 Ahn, S. R., "Analysis of 2012 spring drought using meteorological and hydrological drought indices and satellite-based vegetation indices" 21 (21): 78-88, 2014

    35 Anderson, M. C., "An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U.S. drought monitor classifications" 14 (14): 1035-1056, 2013

    36 Mu, Q., "A remotely sensed global terrestrial Drought Severity Index" 94 (94): 83-98, 2013

    37 Ryu, J. H., "A comparative study on the drought indices for drought evaluation" 35 (35): 397-410, 2002

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 계속평가 신청대상 (등재유지)
    2017-01-01 등재 우수등재학술지 선정 (계속평가)
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2006-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2004-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2001-07-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    1998-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.4 0.4 0.41
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.38 0.35 0.707 0.11
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