Abstract
Temperature Vegetation Dryness Index (TVDI) is one of the commonly used methods in remote sensing drought monitoring. Since this method requires the study area to be large enough to achieve the ideal fitting of the dry and wet edges of the temperature-vegetation feature space, the spatial heterogeneity of meteorological elements has a significant influence on the results. Taking Hebei Plain as an example, the air temperature data at the moment of satellite transit are used to modify the surface temperature retrieved by remote sensing, that is, the surface temperature subtracts the spatial heterogeneity of air temperature, to eliminate the influence of the spatial heterogeneity of air temperature on the TVDI index. TVDI index and surface temperature before and after correction are compared in this paper. The results show that the spatial heterogeneity of air temperature does have a significant effect on TVDI index, and the surface temperature distribution after temperature correction is more reasonable, and will not have great effect on the method of using TVDI to monitor the degree of drought. It can be seen that the correction of surface temperature is more helpful to improve the accuracy of agricultural drought monitoring.
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