Based on the Copula function combined with the standardized precipitation index (SPI) and the standardized land surface temperature index (SLTI), the compound dry-hot events index (CDHI) was constructed to evaluate the compound dry-hot events and applied to the Qinghai Tibet Plateau as an example. The spatiotemporal changes of drought and high temperature in summer from 2000 to 2019 were investigated to explore the relative contribution of precipitation and land surface temperature to the compound dry-hot events and the response of different vegetation types to the compound dry-hot events. The results show that Gaussian Copula is the most appropriate distribution function for fitting SPI and SLTI as well as CDHI and standardized enhanced vegetation index(SEVI). The summer dry-hot situation in the study area shows a slight aggravation trend. Among the four vegetation types, the dry-hot situation in grasslands and forests intensifies, and the dry-hot situation shows a spatial trend of slowing down in the north and worsening in the south. The continuous increase in SLTI is the main reason for the aggravation of the severity of compound dry-hot events, with the relative contribution differences of SPI and SLTI in farmland to CDHI changes are the largest, with values of 0.71 and 0.29, respectively. The vegetation growth in the northeast is easily affected by compound dry-hot events, and farmland is the most sensitive to compound dry-hot events.