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http://dx.doi.org/10.5389/KSAE.2018.60.2.055

Evaluation of Drought Monitoring Using Satellite Precipitation for Un-gaged Basins  

Jang, Sangmin (Climate Application Department, APEC Climate Center)
Yoon, Sunkwon (Climate Application Department, APEC Climate Center)
Lee, Seongkyu (Climate Prediction Department, APEC Climate Center)
Lee, Taehwa (School of Agricultural Civil & Bio-Industrial Engineering, Kyungpook National University)
Park, Kyungwon (Climate Application Department, APEC Climate Center)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.60, no.2, 2018 , pp. 55-63 More about this Journal
Abstract
This study analyzed the applications of near real-time drought monitoring using satellite rainfall for the Korean Peninsula and un-gaged basins. We used AWS data of Yongdam-Dam, Hoengseong-Dam in Korea area, the meteorological station of Nakhon Rachasima, Pak chong for test-bed to evaluate the validation and the opportunity for un-gaged basins. In addition, we calculated EDI (Effective doought index) using the stations and co-located PERSIANN-CDR, TRMM (Tropical Rainfall Measurement Mission) TMPA (The TRMM Multisatellite Precipitation Analysis), GPM IMERG (the integrated Multi-satellitE Retrievals for GPM) rainfall data and compared the EDI-based station data with satellite data for applications of drought monitoring. The results showed that the correlation coefficient and the determination coefficient were 0.830 and 0.914 in Yongdam-dam, and 0.689 and 0.835 in Hoengseng-Dam respectively. Also, the correlation coefficient were 0.830, 0.914 from TRMM TMPA datasets and compasion with 0.660, 0.660 based on PERSIANN-CDR and TRMM data in nakhon and pakchong station. Our results were confirmed possibility of near real-time drought monitoring using EDI with daily satellite rainfall for un-gaged basins.
Keywords
EDI; GPM IMERG; PERSIANN-CDR; satellite rainfall; TRMM;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 Shin, H. J., M. J. Park, E. H. Hwang, H. S Chae, and S. J. Park, 2015. A Study of Spring Drought Using Terra MODIS Satellite Image. Journal of the Korean Association of Geographic Information Studies, 18(4): 145-157 (in Korean). doi:10.11108/kagis.2015.18.4.145.   DOI
2 Son, K. H., D. H. Bae, and H. S. Cheong, 2015. Construction & Evaluation of GloSea5-Based Hydrological Drought Outlook System. Atmosphere, 25(2): 271-281 (in Korean). doi:10.14191/Atmos.2015.25.2.271.   DOI
3 Wang, L., and J. J. Qu, 2007. NMDI: A normalized multi-band drought index for monitoring soil and vegetation moisture with satellite remote sensing, Geophysical Research Letters, 34: L20405. doi:10.1029/2007GL031021.   DOI
4 Jang, S., J. Rhee, S. Yoon, T. Lee, and K. Park, 2017. Evaluation of GPM IMERG Applicability Using SPI based Satellite Precipitation, Journal of the Korean Society of Agricultural Engineers, 59(3): 29-39 (in Korean). doi:10.5389/KSAE.2017.59.3.029.   DOI
5 Akinremi, O. O., and S. M. McGinn, 1996. Evaluation of the Palmer Drought Index on the Canadian Prairies. Journal of Climate, 9: 897-905. doi:10.1175/1520-0442(1996)009<0897:EOTPDI>2.0.CO;2.   DOI
6 Baek, S. G., H. W. Jang, J. S. Kim, and J. W. Lee, 2016. Agricultural drought monitoring using the satellite-based vegetation index. Journal of Korea Water Resource Association 49(4): 305-314. doi:10.3741/JKWRA.2016.49.4.305.   DOI
7 Byun, H. R., and D. A. Wilhite, 1999. Objective quantification of drought severity and duration. Journal of Climate, 12: 2747-2756. doi:10.1175/1520-0442(1999)012<2747:OQODSA>2.0.CO;2.   DOI
8 Ghulam, A., Q. Qin, T. Teyip, and Z. Li, 2007. Modified perpendicular drought index (MPDI): a real-time drought monitoring method, ISPRS Journal of Photogrammetry & Remote Sensing 62(2): 150-164. doi:10.1016/j.isprsjprs.2007.03.002.   DOI
9 Guttman, N. B., 1998. Comparing the Palmer Drought Index and the Standardized Precipitation Index. Journal of the American Water Resources Association, 34: 113-121. doi:10.1111/j.1752-1688.1998.tb05964.x.   DOI
10 Gu, Y., J. F. Brown, J. P. Verdin, and B. Wardlow, 2007. A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States, Geophysical Research Letters, 34: L06407. doi:10.1029/2006GL029127.   DOI
11 Jeong, J., D. Kim, and M. Choi, 2017. A Study on the Utilization of Geostationary Ocean Color Imager on Communication, Ocean and Meteorological Satellite for Drought Monitoring, Journal of the Korean Society of Hazard Mitigation, 17(3): 69-77 (in Korean). doi:10.9798/KOSHAM.2017.17.3.69.   DOI
12 Jeong, S., and S. C. Shin, 2006. The application of satellite imagery in droughts analysis of large area. Journal of the Korean Society for Geo-spatial Information Science 14(2): 55-62 (in Korean).
13 Narasimhan, B., 2004. Development of indices for agricultural drought monitoring using a spatially distributed hydrologic model, Ph.D. Dissertation. Texas A&M University, College Station, TX.
14 Karnieli, A., N. Agam, R. T. Pinker, M. Anderson, M. L. Imhoff, G. G. Gutman, N. Panov, and A. Goldberg, 2010. Use of NDVI and land surface temperature for drought assessment: merits and limitations, Journal of Climate, 23(3): 618-633. doi:10.1175/2009JCLI2900.1.   DOI
15 Keyantash, J., and J. A. Dracup, 2002. The quantification of drought: An evaluation of drought indices. Bulletin of the American Meteorological Society, 83: 1167-1180.   DOI
16 Kim, D. W., 2010. A Statistical Approach to Historical Droughts over Korea, Ph.D. Thesis, Pukyong National University.
17 Kwon, H. J., 2006. Development of semidistributed hydrological drought assessment method based on SWSI (Surface Water Supply Index). Ph.D. Thesis, Konkuk University.
18 Kwon, H. J., H. J. Lim, and S. J. Kim, 2007. Drought assessment of agricultural district using modified SWSI. Journal of the Korean Association of Geographic Information Studies 10(1): 22-34 (in Korean).
19 NDMI (National Disaster Management research Institute), 2014. Application Plan Research of National Satellite Images for Disaster Management, pp. 1-207 (in Korean).
20 Oh, T. S., Y. I. Moon, S. S. Kim, and G. S. Park, 2011. Frequency Analysis of Meteorologic Drought Indices using Boundary Kernel Density Function, Journal of The Korean Society of Civil Engineers, 31(2B): 87-987 (in Korean).
21 Park, M .J., H. J. Shin, Y. D. Choi, J. Y. Park, and S. J. Kim, 2011. Development of a hydrological drought index considering water availability. Journal of the Korean Society of Agricultural Engineers, 53(6): 165-170 (in Korean). doi:10.5389/KSAE.2011.53.6.165.   DOI