Investigation on dynamic changes of drought of winter wheat by TVDI index——Taking the Xingtai in Hebei province as an example
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DOI:10.7606/j.issn.1000-7601.2015.04.34
Key Words: drought monitoring  NDVI  LST  TVDI  Xingtai Country
Author NameAffiliation
LIU Gong-ying 河北师范大学, 河北 石家庄 050024 
SHEN Hai-feng 河北师范大学, 河北 石家庄 050024 
HU Jia 河北师范大学, 河北 石家庄 050024 
SHI Xiao-rui 河北师范大学, 河北 石家庄 050024 
SHANG Yan-rui 河北师范大学, 河北 石家庄 050024河北省环境演变与生态建设重点实验室, 河北 石家庄 050024 
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Abstract:
      Temperature Vegetation Dryness Index(TVDI)is an effective method for monitoring the dynamic changes of drought, and based on land surface soil moisture retrieval from optical and thermal-infrared remote sensing data. In 2010, TTVDI was calculated by Normalized Differential Vegetation Index (NVDI) and Land Surface Temperature (LST) data, that were derived from the MODIS data of winter wheat growing period in Xingtai county. We used TVDI for evaluate severe drought, and obtained a consistent result in comparison with the data of precipitation and soil moisture. The result showed that the deductive temperature of ground surface could be used as the actual value, considering the average error was 0.295℃ by a comparison between measured temperature and temperature retrieval from MOD11A2 data. There was a superior linear fitness between local TVDI value and relative humidity in 0~20 cm layer, with the maximal and minimal R2 were 0.722 of Qinghe and 0.598 of Renxia. These results suggest that TVDI can effectively reflect the actual drought in Xingtai county.