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[SCI]A comprehensive drought monitoring method integrating MODIS and TRMM data
2015年06月28日   审核人:   (点击数:)

Lingtong Du, Qingjiu Tian, Tao Yu, Qingyan Meng, Tamas Jancso, Peter Udvardy, Yan Huang. A comprehensive drought monitoring method integrating MODIS and TRMM data[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 23(1): 245-253.(SCI,IF=2.54)

DOI:10.1016/j.jag.2012.09.010

Abstract

Droughtisacomplex hazard caused by the breaking of water balance and it has always an impact on agricultural, ecological and socio-economic spheres. Although thedroughtindices deriving from remote sensingdatahave been used to monitor meteorological or agriculturaldrought, there are no indices that can suitably reflect thecomprehensiveinformation ofdroughtfrom meteorological to agricultural aspects. In this paper, the synthesizeddroughtindex (SDI) is defined asaprincipal component of vegetation condition index (VCI), temperature condition index (TCI) and precipitation condition index (PCI). SDI integrates multi-source remote sensingdatafrom moderate resolution imaging spectroradiometer (MODIS) and tropical rainfall measuring mission (TRMM) and it synthesizes precipitation deficits, soil thermal stress and vegetation growth status indroughtprocess. Therefore, thismethodis favorable to monitor thecomprehensivedrought. In our research,aheavydroughtprocess was accurately explored using SDI in Shandong province, China from 2010 to 2011. Finally,avalidation was implemented and its results show that SDI is not only strongly correlated with 3-month scales standardized precipitation index (SPI3), but also with variation of crop yield anddrought-affected crop areas. It was proved that this index isacomprehensivedroughtmonitoringindicator and it can contain not only the meteorologicaldroughtinformation but also it can reflect thedroughtinfluence on agriculture.

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