Abstract: Landscape Information Modeling (LIM) technology, as an extension of BIM in the landscape architecture field, provides a new paradigm for digital transformation through multi-source data integration and full lifecycle management capabilities. This paper aims to systematically review the application progress of LIM technology in landscape architecture projects, clarify its advantages and limitations, and provide a referenceable technical pathway for the industry's digital transformation. Employing a combination of literature review and case studies, it first summarizes the technical framework of LIM, then outlines specific application pathways across three project phases: design, construction, and operation/maintenance. Research findings indicate that during the design phase, LIM technology requires coordination across six categories of software platforms to achieve full-process integration from point cloud processing and microclimate simulation to information modeling construction. In the construction phase, virtual construction and collision detection enable the generation of dynamic reports covering progress, safety, and cost. For the operation and maintenance phase, six types of structured data and six types of unstructured data must be integrated to form a searchable and retrievable project database. Concurrently, current LIM technology exhibits notable shortcomings in data format compatibility, vegetation parametric modeling, and cross-platform collaboration. Although a preliminary technical framework has been established, its standardization system remains immature, urgently requiring the development of a unified standardized semantic framework, parametric model library, and data interfaces. Future efforts should focus on deepening the integration of LIM with GIS, BIM, and IOT, leveraging regional practices to drive the transformation toward a “data-driven” design paradigm.