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An improved temperature vegetation dryness index (iTVDI) and its applicability to drought monitoring

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Abstract

Using Moderate Resolution Imaging Spectroradiometer (MODIS) data from the dry season during 2010–2012 over the whole Yunnan Province, an improved temperature vegetation dryness index (iTVDI), in which a parabolic dry-edge equation replaces the traditional linear dry-edge equation, was developed, to reveal the regional drought regime in the dry season. After calculating the correlation coefficient, root-mean-square error, and standard deviation between the iTVDI and observed topsoil moisture at 10 and 20 cm for seven sites, the effectiveness of the new index in depicting topsoil moisture conditions was verified. The drought area indicated by iTVDI mapping was then compared with the drought-affected area reported by the local government. The results indicated that the iTVDI can monitor drought more accurately than the traditional TVDI during the dry season in Yunnan Province. Using iTVDI facilitates drought warning and irrigation scheduling, and the expectation is that this new index can be broadly applied in other areas.

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (2016YFA0601601), National Natural Science Foundation of China (Grants Nos. U1502233, 41405001), the Jiangsu Collaborative Innovation Center for Climate Change and Ph.D. Programs Foundation of Ministry of Education of China (20135301120010).

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Authors and Affiliations

  1. Department of Atmospheric Sciences, Yunnan University, Kunming, 650091, China

    Ruo-wen Yang, Jie Cao & Yu Yang

  2. Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Kunming, 650091, China

    Ruo-wen Yang, Jin-ming Hu & Jie Cao

  3. Hubei Province Meteorological Bureau, Wuhan, 430074, China

    Hai Wang

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  1. Ruo-wen Yang
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Correspondence to Jie Cao.

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Yang, Rw., Wang, H., Hu, Jm. et al. An improved temperature vegetation dryness index (iTVDI) and its applicability to drought monitoring. J. Mt. Sci. 14, 2284–2294 (2017). https://doi.org/10.1007/s11629-016-4262-2

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