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The application of geographical mapping and exploration lidar echo features in mountainous areas will result in overlapping of spot echo, leading to coordinate confusion and poor feature monitoring effect. In this study, the application process of reflective lidar in mountain geographic mapping and exploration is optimized and its relevant parameters are determined based on the collection of mountain geographic feature spot data with reflective lidar. By scanning the mountain geography one by one and integrating the scanning results, the lidar echo data of the mountain geographical characteristics are collected. A decomposition model of light spot echo waveform is designed to obtain geographical features through decomposition processing, remove the overlapping interference of light spot echo, solve the problem of coordinate confusion through coordinate and elevation conversion, and complete feature monitoring. The experimental results show that compared with the traditional methods, this method can more effectively monitor the deformation of mountain geography, with good monitoring effect and high monitoring performance.