The temporal and spatial variability of spring wheat leaf area index (LAI) and coverage was investigated, which was essential for the spatial analysis of crop parameters and the exact way to resolve the matching problems between remote sensing data and ground observation data. The results showed that, with the growing of spring wheat, the CV of coverage decreased, while the CV of LAI increased first and then decreased. At the coverage-tillering stage, both wheat LAI and coverage had the maximum spatial correlation distance and the minimum spatial variation. But at later growth stages, the spatial correlation distance was relatively stable for LAI and coverage. At some sample points, spring wheat LAI and coverage had a higher temporal stability than others, especially after the tillering-shooting stage. Compared with the coverage, the temporal stability of LAI was more significant. The sampling sites with higher time stability could be used to estimate the mean value of large region. Spring wheat LAI model was built with parameters of coverage and growth period, which could reflect the spatial and temporal variability.