<p>Landslide information modeling plays a critical role in engineering geology by integrating terrain data, stratigraphic structure and environmental information to support risk assessment, visualization and management of landslides. In scenarios such as prevention and control of geohazards, an efficient and lightweight modeling approach is urgently needed. However, direct three-dimensional (3D) modeling of landslides is theoretically complex, computationally intensive and often prone to convergence errors, making it difficult to dynamically construct 3D landslide models. To address this challenge, this study proposes an ascending dimension modeling method that transforms a 3D spatial problem into a series of two-dimensional (2D) analyses. This method begins with the construction of a 3D geological model, which is then sliced at high density to produce thin cross-sections. Each section is projected onto a plane using affine transformation and analyzed with the 2D analysis method. Given the numerous slices and the repetitive nature of the calculations, this process is implemented programmatically and automated using parametric modeling techniques. Key components in every slice, such as the sliding body, slip surface, and sliding bed, are extracted and recombined into a continuous 3D model. The method was successfully applied to a slope in South China, demonstrating its ability to capture both spatial structure and internal profile detail. It significantly improves modeling efficiency and supports practical applications such as slope reinforcement design and construction simulation. Although spatial resolution depends on the slicing interval, the approach provides a robust method for dynamic landslide modeling, serving as a valuable reference for geohazard mitigation.</p>