To address two major technical bottlenecks in lunar sampling missions， geometric reconstruction failure caused by in-orbit camera parameter drift and the lack of multi-scale comprehensive analysis integrating chassis passability with terminal operation constraints in sampling area evaluation， this paper proposes an integrated method for stereo digital elevation model （DEM） reconstruction and sampling area analysis. The method employs feature-guided robust epipolar rectification to adaptively compensate for in-orbit parameter drift， elevating epipolar alignment accuracy to sub-pixel level and providing a geometrically consistent DEM for terrain analysis. It further establishes a three-level progressive sampling area analysis framework， namely global coarse-grained screening， fine-grained parking evaluation， and terminal execution verification. This framework integrates chassis passability constraints， parking stability， and manipulator reachability into a unified cost evaluation framework， facilitating refined decision-making from passable regions to operable sampling points. Experimental results validate the effectiveness of the reconstruction method and the necessity of each cost component. This integrated approach connects the complete technical chain from raw image perception to sampling decision-making， providing important theoretical support and technical means for autonomous， safe， and reliable sampling in complex lunar environments.