In this case study we are giving attention to the seismic processing of a challenging land data set from the Arabian Peninsula. It suffers from rough top-surface topography, a strongly varying weathering layer, and complex near-surface geology. Particularly for land data, the increased computational expense required by the generalized high-density velocity analysis preceding the Common-Reflection-Surface stack process often proves to be worthwhile. In order to define optimal spatial stacking operators, we determine for every sample of the zerooffset section an entire set of physically interpretable stacking parameters. These so-called kinematic wavefield attributes can be applied to solve various dynamic and kinematic stacking, modeling, and inversion problems. By this means, a very flexible CRS-stack-based seismic reflection imaging workflow can be established. The main steps of this workflow are, besides the stack itself, residual static correction, determination of a macrovelocity model via tomographic inversion, and Kirchhoff depth migration. The presented extension of this imaging workflow supports arbitrary top-surface topography. Both, stack and stack-based residual static correction are applied to the original prestack data without the need of any elevation statics. Finally, a redatuming procedure relates the stacked zero-offset section, the kinematic wavefield attribute sections, and the quality control sections to a chosen planar measurement level.