Biomolecular function is based on a complex hierarchy of molecular motions. While biophysical methods can reveal details of specific motions, a concept for the comprehensive description of molecular dynamics over a wide range of correlation times has been unattainable. Here, we report a novel approach to construct the dynamic landscape of biomolecules, which describes the aggregate influence of multiple motions acting on various timescales and on multiple positions in the molecule. To this end, we use NMR relaxation and molecular dynamics simulation data for the characterization of lipid membranes, the most important biological interface. We develop a dynamics detector method that yields site-specific amplitudes, separated both by type and timescale of motion. This separation allows the detailed description of the dynamic landscape, which reveals vast differences in motion depending on molecular position. More generally, the method is applicable to a broad range of molecular systems, and can be adapted to other timescale-sensitive techniques.