In remote sensing, atmospheric turbulence and aerosols limit the image quality. For many practical cases turbulence is shown to be dominant, especially for horizontal close-to-earth imaging in hot environments. In a horizontal long-range imaging it is usually impractical to measure path-averaged refractive index structure constant Cn2 (which characterizes the turbulence strength) with conventional equipment. In this paper we propose a method for estimation of Cn2 based just on the available recorded turbulence-degraded image sequence. The method exploits the turbulence-induced image "dancing". Cn2 is extracted from the estimated image shifts variance. Experimental comparison with Cn2 measurements using a scintillometer shows reliable estimation results. We also estimate image motion with sub-pixel accuracy for the purpose of obtaining a high-resolution image by applying a simple super-resolution procedure. Results of super-resolution for real imagery are presented.