Drought is the major climate disaster affecting agricultural production in China. The drought, frequently occurring in winter/spring, especially in spring, often brings about serious adverse impact on winter wheat production. Using remote sensing technology to monitor drought during the winter wheat growing season is an important development trend in management of agricultural drought. Based on the 2005 EOS/MODIS data available from NASA, a study was conducted on complementarily of remote-sensing-databased drought monitoring models for different periods of spring in Hebei Province. Results show that (1) better complementarily existed between apparent thermal inertia (ATI) model and temperature vegetation drought index (TVDI) model during winter wheat’s growing period. ATI model should be used to monitor drought in March; (2) for estimation of relative soil moisture (RSM) in surface soil in April-May, both TVDI and ATI can be used for both RSM-TVDI fitted equation and RSM-ATI fitted equation passed the t-check (α＝0.001), showing better correlations. TVDI and ATI could be used to estimate surface soil moisture from April to May; and (3) based on correlation analysis and error analysis of equations of RSM-TVDI and RSM-ATI for April and May, ATI model is the best choice for early April, and TVDI model for mid-April. And for the period from late April to late May, the TVDI model is more suitable.