Europe-LAND Databases of existing LU/LC patterns and spatial modelling tools, Cards and Success Stories for modelling tools

The Databases of existing LU/LC patterns and spatial modelling tools - an output of Europe-LAND project - provides a comprehensive overview of existing Land Use/Land Cover (LULC) datasets and spatial modelling tools, focusing on European sources and applications. It aims to support sustainable land management under climate and biodiversity pressures by equipping stakeholders and researchers with accessible, harmonised data and analytical tools. This report consists of two primary elements: (1) a comprehensive database of existing LULC patterns/layers, ranging from global and continental products (e.g., CORINE, MODIS, ESA CCI-LC) to national inventories and thematic datasets (e.g., urban, forest, agricultural maps); and (2) a database of spatial modelling tools across five domains - LULC, climate, hydrology, forestry, and biodiversity models.

A collection of modelling cards and real-world success stories designed within Europe-LAND project to introduce spatial modelling tools across five environmental domains: Land Use/Land Cover (LULC), Climate, Hydrology, Forest, and Biodiversity. Each modelling card offers a concise overview of key technical and functional attributes, including the model’s name, software environment, input data requirements, modelling principles, scenario capabilities, and intended users. These standardized cards serve as practical reference tools that allow users to compare models, assess their suitability for different project contexts, and access supporting documentation.

The modelling cards are further enriched by a set of success stories illustrating their application in research and policy-making across Europe and selected global regions. Based on peer-reviewed open access articles, these examples describe real-world use cases, including study areas, modelling timeframes, land cover types, and policy goals. They also highlight methodological aspects such as scenario assumptions, calibration and validation approaches, and outcomes relevant to land management or climate planning. Together, the cards and stories enhance understanding of modelling practices and provide guidance for designing effective LUCC modelling workflows.