Plant distribution determines the functioning of ecosystems on large temporal and spatial scales, from biogeochemical and energetic cycles to biodiversity, habitat characteristics and trophic structures. To predict and maintain ecosystem functioning and services, it is important to know the spatial distribution of plant species and habitat characteristics. The aim of the project is to demonstrate that by integrating field surveys of plant taxonomy and spectral characteristics with Light Detection and Ranging (LIDAR) technology and very high resolution (VHR) multispectral satellite imagery, important vegetation properties (dominant species cover, biomass, litter, bare ground) can be rapidly and accurately assessed, an approach with high potential for application in environmental monitoring and bioeconomics. Also, the relationship between habitat heterogeneity and plant diversity (which dictates ecosystem functionality and services) and spectral diversity, can be quantitatively measured and integrated into decision-making systems/strategies. The operational modelling will integrate multi-sensor data (ground, aerial and satellite data) and enable transfer of the method to end-users (researchers, policy makers or forest management), while also ensuring repeatability. To fulfil these goals, we will develop a geospatial database for each species including local, spectral and structural attributes. The demonstration model will outline the working protocol and parameters required for rapid and accurate assessment of vegetation properties, also indicating the spatial/spectral features and their combinations that provide optimal results.