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http://dx.doi.org/10.7780/kjrs.2017.33.6.1.8

Towards an Integrated Drought Monitoring with Multi-satellite Data Products Over Korean Peninsular  

Kim, Youngwook (University of Montana)
Shim, Changsub (Korea Environment Institute)
Publication Information
Korean Journal of Remote Sensing / v.33, no.6_1, 2017 , pp. 993-1001 More about this Journal
Abstract
Drought is a worldwide natural disaster with extensively adverse impacts on natural ecosystems, agricultural products, social communities and regional economy. Various global satellite observations, including SMAP soil moisture, GRACE terrestrial water storage, Terra and Aqua vegetation productivity, evapotranspiration, and satellite precipitation measures are currently used to characterize seasonal timing and inter-annual variations of regional water supply pattern, vegetation growth, drought events, and its associated influence ecosystems and human society. We suggest the satellite monitoring system development to quantify meteorological, eco-hydrological, and socio-ecological factors related to drought events, and characterize spatial and temporal drought patterns in Korea. The combination of these complementary remote sensing observations(visible to microwave bands) provide an effective means for evaluating regional variations in the timing, frequency, and duration of drought, and availability of water supply influencing vegetation and crop growth. This integrated drought monitoring could help national capacity to deal with natural disasters.
Keywords
drought events; satellite monitoring; optical; microwave; SMAP; Korea;
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1 Coats, S., J. E. Smerdon, K. B. Katrnauskas, and R. Seager, 2016. The improbable but unexceptional occurrence of megadrought clustering in the American West during the Medieval Climate Anomaly, Environmental Research Letters, 11(7): 074025.   DOI
2 Dee, D. P., S. M. Uppala, A. J. Simmons, P. Berrisford, P. Poli, S. Kobayashi, U. Andrae, M. A. Balmasewda, G. Balsamo, P. Bauer, P. Bechtold, A. C. M. Beljaars, L. van de Berg, J. Bidlot, N. Bormann, C. Delsol, R. Dragani, M. Fuentes, A. J. Geer, L. Haimberger, S. B. Healy, H. Hersbach, E. V. Holm, L. Isaksen, P. Kallberg, M. Kohler, M. Matricardi, A. P. McNally, B. M. Monge-Sanz, J. J. Morcrette, B. K. Park, C. Peubey, P. de Rosnay, C. Tavolato, J. N. Thepaut, and F. Vitart, 2011. The ERAInterim reanalysis: configuration and performance of the data assimilation system, Quarterly Journal of the Royal Meteorological Society, 137(656): 553-597.   DOI
3 Ji, L. and A. J. Peters, 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices, Remote Sensing of Environment, 87(1): 85-98.   DOI
4 Jia, W., L. Zhang, Q. Chang, D. Fu, Y. Cen, and Q. Tong, 2016. Evaluation an enhanced vegetation condition index (VCI) based on VIUPD for drought monitoring in the Continental United States, Remote Sensing, 8(3): 224.   DOI
5 van Hoek, M., L. Jia, J. Zhou, C. Zheng, and M. Menenti, 2016. Early drought detection by spectral analysis of satellite time series of precipitation and normalized difference vegetation index (NDVI), Remote Sensing, 8(5): 422.   DOI
6 Kim, H., J. Park, J. Yoo, and T. Kim, 2015. Assessment of drought hazard, vulnerability, and risk: A case study for administrative districts in South Korea, Journal of Hydro-environmental Research, 9(1): 28-35.   DOI
7 Kim, B., J. H. Sung, B. H. Lee, and D. J. Kim, 2013. Evaluation on the impact of extreme droughts in South Korea using the SPEI and RCP8.5 climate change scenario, Journal of Korean Society of Hazard Mitigation, 13(2): 97-109 (in Korean with English abstract).   DOI
8 Kim, Y, 2013. Drought and elevation effects on MODIS vegetation indices in northern Arizona ecosystems, International Journal of Remote Sensing, 34(14): 4889-4899.   DOI
9 Kim, D. H., C. Yoo, and T. Kim, 2011. Application of spatial EOF and multivariate time series model of for evaluating agricultural drought vulnerability in Korea, Advances in Water Resources, 34(3): 340-350.   DOI
10 Kim, D., H. Byun, and K. Choi, 2009. Evaluation, modification, and application of the Effective drought index to 200-year drought climatology of Seoul, Korea, Journal of Hydrology, 378(1-2): 1-12.   DOI
11 Kim, S., B. Kim, T. J. Ahn, and H. S. Kim. 2009. Spatio-temporal characterization of Korean drought using severity-area-duration curve analysis, Water and Environment Journal, 25(1): 22-30.
12 Keyamtash, J. and J. A. Dracup, 2002. The quantification of drought: An evaluation of drought indices, Bulletin of the American Meteorological Society, 83(8): 1167-1180.   DOI
13 Korea Meteorological Administration (KMA), 2016. 2016 abnormal climate report.
14 Kwak, J., D. Kim, S. Kim, and V. P. Singh, 2013. Hydrological drought analysis in Manhan river basin, Korea, Journal of Hydrologic Engineering, 19(8): 1-10.
15 Lee, J., J. Seo, and C. Kim, 2012. Analysis on trends, periodicities and frequencies of Korean Drought using drought indices, Journal of Korea Water Resources Association, 45(1): 75-89 (in Korean with English abstract).   DOI
16 Schlaepfer, D. R., J. B. Bradford, W. K. Lauenroth, S. M. Munson, B. Tietjen, S. A. Hall, S. D. Wilson, M. C. Duniway, G. Jia, D. A. Pyke, A. Lkhagva, and K. Jamiyansharav, 2017. Climate change reduces extent of temperature drylands and intensified drought in deep soils, Nature Communications, 8: 14196.   DOI
17 Marj, A. F. and A. M. J. Meijerink, 2011. Agricultural drought forecasting using satellite images, climate indices and artificial neural network, International Journal of Remote Sensing, 32(24): 9709-9719.
18 Mu, Q., M. Zhao, and S. W. Running, 2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm, Remote Sensing of Environment, 115(8): 1781-1800.   DOI
19 Pachepsky, Y., D. E. Radcliffe, and H. M. Selim, 2003. Scaling methods in soil physics, CRC Press, Boca Raton, FL, USA.
20 Schlesinger, W. H., M. C. Dietze, R. B. Jackson, R. P. Phillips, C. C. Rhoades, L. E. Rustad, and J. M. Vose, 2016. Forest biogeochemistry in response to drought, Global Change Biology, 22(7): 2318-2328.   DOI
21 Schroeder, R., K. C. McDonald, M. Azarderakhsh, and R. Zimmermann, 2016. ASCAT MetOp-A diurnal backscatter observations of recent vegetation drought patterns over the continuous U.S.: An assessment of spatial extent and relationship with precipitation and crop yield, Remote Sensing of Environment, 177: 153-159.   DOI
22 Sur, C., J. Hur, K. Kim, W. Choi, and M. Choi, 2015. An evaluation of satellite-based drought indices on a regional scale, International Journal of Remote Sensing, 36(22): 5593-5612.   DOI
23 Thomas, B. F., J. S. Famiglietti, F. W. Landerer, D. N. Wiese, N. P. Molotch, and D. F. Argus, 2017. GRACE Groundwater drought index: Evaluation of California Central Valley groundwater drought, Remote Sensing of Environment, 198: 384-392.   DOI
24 Westerling, A. L, 2015. Increasing western US forest wildfire activity: sensitivity to changes in the timing of spring, Philosophical Transactions B, 371(1696): 20150178.   DOI
25 Vicca, S., M. Balzarolo, I. Filella, A. Granier, M. Herbst, A. Knohl, B. Longdoz, M. Mund, Z. Nagy, K. Pinter, S. Rambal, J. Verbesselt, A. Verger, A. Zeileis, C. Zhang, and J. Penuelas, 2016. Remote-sensed detection of effects of extreme droughts on gross primary production, Scientific Reports, 6: 28269.   DOI
26 Viltard, N., C. Burlaud, and C. D. Kummerow, 2006. Rain retrieval from TMI Brightness temperature measurements using a TRMM PR-based database, Journal of Applied Meteorology and Climatology, 45(3): 455-466.   DOI
27 Wang, J., A. L. Kessner, C. Aegerter, A. Sharma, L. Judd, B. Wardlow, J. You, M. Shulski, S. Irmak, A. Kilic, and J. Zeng, 2016. A multi-sensor view of the 2012 central plains drought from space, Frontiers in Environmental Science, 4: 45.
28 Wilhite, D.A. and M.H. Glantz, 1985. Understanding the Drought Phenomenon: The Role of Definitions, Water International, 10(3): 111-120.   DOI
29 Wu, D., J. J. Qu, and X. Hao, 2015. Agricultural drought monitoring using MODIS-based drought indices over the USA Corn Belt, International Journal of Remote Sensing, 36(21): 5403-5425.   DOI
30 Zhang, L., W. Jiao, H. Zhang, C. Huang, and Q. Tong, 2017. Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices, Remote Sensing of Environment, 190: 96-106.   DOI