temperature vegetation drought index,fuzzy mathematics,drought level,MODIS,north Tibet ,"/> Remote Sensing Monitoring of Drought Level in North Tibet Based on MODIS TVDI and Fuzzy Mathematics

Arid Zone Research ›› 2020, Vol. 37 ›› Issue (1): 86-96.

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Remote Sensing Monitoring of Drought Level in North Tibet Based on MODIS TVDI and Fuzzy Mathematics

LIU Yi-zhe1, FENG Wen-lan1, Zhaxi Yangzong2, LIANG Li1, LI Tong1   

  1. 1. College of Resources and Environment Sciences, Chengdu University of Information Technology,Chengdu 610225,Sichuang,China;
    2. Tibet Autonomous Region Climatic Center, Lhasa 850000,Tibet,China

  • Received:2019-04-14 Revised:2019-08-02 Online:2020-01-15 Published:2020-01-14

Abstract:  A dynamic and continuous monitoring of spring and summer drought in north Tibet during the period of 1980-2017 was carried out. The temperature vegetation drought index (TVDI), fuzzy mathematics and monitored results of meteorological drought level were used to develop the classification standard of remote sensing drought, and the accuracy of monitored results was verified. The spatiotemporal variation of drought in north Tibet in recent years was analyzed. The main conclusions are as follows:    TVDIN and TVDIE calculated based on the normalized vegetation index (NDVI) and enhanced vegetation index (EVI) were significantly correlated with the soil moisture content at 20 cm in depth at 0.05 significance level. The determination coefficient of TVDIE was higher;    Based on TVDIE, drought could be divided into four levels including without drought, slight drought, moderate drought, heavy drought and severe drought. On which it was obtained that the drought level in north Tibet was consistent with the monitored results of meteorological drought level;    Drought in the study area was not very serious in recent years, and the holistical drought situation was somewhat alleviative. The drought was the most serious in 2009, and the area proportion of moderate and above drought was as high as 24%. Monthly, the drought was the most serious in June. In terms of the spatial distribution, the drought in the southwest and the central part of the study area was relatively serious, and it was relatively slight in the north and southeast. The research results could be referred in monitoring drought in north Tibet.

Key words: temperature vegetation drought index')">

temperature vegetation drought index, fuzzy mathematics, drought level, MODIS, north Tibet