基于SDI指数的南非共和国2001-2014年干旱监测时空分布

Abstract

Abstract: MODIS data has been widely used for dynamic drought monitoring in large scale for their high time resolution, high spectral resolution, and moderate spatial resolution. Over 930 MODIS images have been used in the study for agro-drought monitoring events. The monitoring data for drought was MOD13A1 and MOD11A2 data from 2001 to 2014. Sixteen days'synthetic data product was used for the analysis of drought sequence. Drought is a natural disaster with higher frequency in South Africa, and can affect food security seriously. Agriculture is an important economic sector in South Africa, where precipitation distributes unevenly in both spatial and temporal dimensions. In this paper, based on the characteristics of South Africa's natural climate and internal land cover and terrain features, a suitable drought monitoring index is presented. By using NDVI classification, this paper calculated separately the Vegetation Supply Water Index(VSWI)for vegetation in different land covers and terrains in agricultural areas of South Africa and worked out the synthetic drought index(SDI)for monitoring drought. Combined SDI and agricultural planting area information, a 14-years'high spatial-temporal resolution data set for drought monitoring distribution was obtained. Results showed that drought in South Africa occurred mainly in late spring and early summer, usually reached maximum in late summer. In the 14 years, severe drought occurred mainly in 2002, 2007 and 2013, and each state was generally dominated by light drought and moderate drought, but turned to severe drought in late summer. Drought often occurred first in the central region where the rainfall is rather scarce, and then expanded towards east and south. Above all, the SDI drought monitoring results are basically consistent with the drought fact in South Africa, indicating that the SDI drought index can be used for drought monitoring in South Africa, and make up for the insufficient through meteorological drought monitoring, as well as provide references for making policies in responding to drought warning.

Key words: drought monitoring, MODIS, SDI, South Africa

CLC Number:

TP79

LEI Bu-yun, ZHAO Shu-he, QIN Zhi-hao, Peter JOHNSTON, HE Ke-xun, ZHANG Zhen-ke. Drought temporal-spatial distribution of South Africa based on MODIS SDI index from 2001-2014[J]., 2016, 39(2): 395-404.

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Drought temporal-spatial distribution of South Africa based on MODIS SDI index from 2001-2014

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