Arid Zone Research ›› 2021, Vol. 38 ›› Issue (5): 1442-1451.doi: 10.13866/j.azr.2021.05.27

• Ecology and Environment • Previous Articles     Next Articles

Development and application of the temperature soil moisture precipitation drought index (TMPDI) based on multi-source remote sensing data

MAN Yuanwei(),LI Jing(),XING Liting   

  1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
  • Received:2021-01-11 Revised:2021-03-03 Online:2021-09-15 Published:2021-09-24
  • Contact: Jing LI E-mail:273424159@qq.com;191977276@qq.com

Abstract:

Drought has a profound social and economic impact on the whole world. Reliable drought monitoring is of great significance to drought prevention and drought relief. In the areas with low vegetation coverage and crop planting rate, the accuracy of using vegetation status or single factor for drought monitoring is low, based on the simple and objective Euclidean distance method in three-dimensional Euclidean geometry space, a new drought index, temperature soil moisture precipitation drought index (TMPDI), was constructed for drought monitoring. Taking Gansu Province as the research area, the TMPDI was verified by using SPI, SPEI, other remote sensing data and wheat yield per unit area. The results showed that: TMPDI was highly correlated with SPI and SPEI(R2>0.64), which reduced the uncertainty of drought monitoring using precipitation or surface temperature, improved the accuracy and effectiveness of soil moisture in agricultural drought monitoring, and accurately describe the temporal and spatial evolution characteristics of drought events. At the same time, it can also better reflect the impact of drought intensity and drought area rates on wheat yield, which proves that TMPDI its high effectiveness and reliability in agricultural drought monitoring.

Key words: drought index, drought monitoring, remote sensing, MODIS, TRMM, GLEAM