Remote sensing monitoring of spring drought based on MODIS in Henan Province
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DOI:10.7606/j.issn.1000-7601.2018.03.32
Key Words: bi-parabolic NDVI-Ts space  spring drought  MODIS  remote sensing monitoring
Author NameAffiliation
LIU Ying College of Geomatics, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054 
YUE Hui College of Geomatics, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054 
LI Yao College of Geomatics, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054 
Lu Yang College of Geomatics, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054 
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Abstract:
      Illustrated by the case of remote sensing monitoring of winter wheat drought in Henan Province, the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (Ts) data of MODIS was used to construct the bi\|parabolic NDVI-Ts space. Temperature vegetation dryness index (TVDI) was calculated based on bi\|parabolic NDVI-Ts space and was correlatively analyzed with field\|measured soil moisture from the meterological station. It is revealed that the bi\|parabolic NDVI-Ts space could better reflect the status of soil moisture in deep to 10cm from soil surface. TVDI was applied to assess the spatial and temporal characteristics of spring drought in Henan Province from February 26 to June 1 in 2000, 2005, 2010 and 2015, compared with meteorological station rainfall data. The results show that: (1) The dry and wet edges are bi\|parabolic in NDVI-Ts space and the fitting coefficient R2 is more than 0.9 of dry edge; (2) There is a negative correlation between TVDI and the filed\|measured soil moisture and the linear regression equation passes the significant test (p≤0.05); The spatial distribution of drought monitored by TVDI is consistent with the spatial distribution of precipitation. Thus, TVDI based on the bi\|parabolic NDVI-Ts space can be used to assess drought conditions; (3) The soil in the central and south of Henan Province is more humid and can meet the water requirement for winter wheat from TVDI in 2000, 2005, 2010 and 2015.