Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan

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  • 1. Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,Guangdong,China; 2. Research Center for Ecology and Environment of Central Asia,Chinese Academy of Sciences,Urumqi 830011,Xinjiang,China;3. Department of Geography,Hong Kong Baptist University,Kowloon Tong,Hong Kong SAR,China

Online published: 2020-06-18

Abstract

In order to evaluate the applicability of remote sensing drought indices for agricultural drought monitoring in the arid zone of Central Asia,several typical indices (i.e.,AVI,VHI,and VSWI) from current global drought monitoring systems were assessed using active and passive microwave soil moisture data (SMAP).Data from late June,the middle and late period in the plant growing season,were utilized for this experiment.According to datasets for existing land use and land cover,more than 2650 samples fully covered by vegetation were chosen.Correlations between remote sensing drought indices and soil moisture were examined using the Pearson correlation coefficient (r) and Kendall rank correlation coefficient (τ) .Resultes show that AVI and soil moisture are not significantly correlated.However,VHI and VSWI are significantly positively correlated with soil moisture at two layers,including the surface layer (0-10cm) and the root zone layer (0-100cm).By comparison,VSWI exhibits a strong correlation with soil moisture at root zone level (r>0.6),which also shows a good response to drought conditions in the middle and late stages of the growing season in Kazakhstan.For determining drought grade,VHI shows a weak positive correlation with soil moisture.

Cite this article

SUN Bo, QIAN Jing, CHEN Xi, XING Xiuwei, ZHOU Qiming . Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan[J]. Arid Zone Research, 2020 , 37(3) : 663 . DOI: 10.13866/j.azr.2020.03.14

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