›› 2018, Vol. 30 ›› Issue (1): 129-136.DOI: 10.3969/j.issn.1004-1524.2018.01.17

• Environmental Science • Previous Articles     Next Articles

Monitoring drought in Chaoyang County of Liaoning Province using temperature vegetation drought index (TVDI)

LIU Yanwei1, WANG Shuying1, JIAO Zhongshuai2, YANG Guofan3, YANG Qiliang1   

  1. 1. Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China;
    2. Sinohydro Bureau 6 Co., Ltd., Shenyang 110179, China;
    3. College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China
  • Received:2017-06-16 Online:2018-01-20 Published:2018-02-09

Abstract: In order to explore the drought in Chaoyang County of Liaoning province from May to August in 2016, to combine the normalized difference vegetation index (NDVI) and surface temperature (Ts) to establish a two-dimensional characteristic spatial distribution using Landsat 8 data. The two-dimensional characteristic spatial distribution was used to fit the dry and wet side equations, calculate the temperature vegetation dryness index (TVDI), and analyze the drought distribution and evaluation. The model was established by using the measured values of soil water content and the retrieved land surface temperature. Model verification and accuracy analysis were relayed by the measured values and the retrieved soil water content. The results showed that the maximum surface temperature decreased, and the minimum surface temperature basically increased with the increase of NDVI. Minimum surface temperature and the maximum surface temperature trend line intersected in one point into triangle shape approximation. In 2016, from May to August, there were different levels of drought in Chaoyang County, and the worst drought occurred in June. The correlation between TVDI and soil moisture at different depths was significant. Thus, TVDI can be used to monitor drought conditions.

Key words: normalized difference vegetation index (NDVI), temperature vegetation dryness index(TVDI), surface temperature, soil water content, monitoring drought

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