Landscape Information Modeling (LIM) is a research theme that builds on the principles of Building Information Modeling (BIM) and City Information Modeling (CIM) and extends them to the landscape scale. LIM is a digital representation of the physical, functional, and ecological characteristics of a landscape. It enables the integration of data and information from various sources, such as topography, hydrology, vegetation, and infrastructure, throughout the landscape life cycle. LIM is a powerful tool that can support decision-making, planning, design, and management of landscapes and green infrastructure, by providing a comprehensive and dynamic view of the landscape and its performance.

The research theme of LIM encompasses a wide range of topics, such as the development of LIM standards and guidelines, the integration of LIM with other technologies such as Geographic Information Systems (GIS), remote sensing, and simulation models, the application of LIM in different domains such as landscape architecture, urban design, and environmental management, and the integration of LIM with different stakeholders such as land managers, policymakers, and the public. Additionally, research on data management and data governance for LIM is also becoming increasingly relevant, as the amount of data that needs to be managed in LIM projects is huge. Therefore, the ability to process and analyze this data in real-time is critical to the success of LIM projects.