Predictive vegetation maps serve as decision making tools and provide critical information for many landscape planning and management activities. Vegetation maps can be produced by developing predictive vegetation models that use remote sensing image classification techniques to model vegetation distribution, structure and characteristics across different spatial and temporal scales.

The Settled and Urban Landscapes research group uses statistical modeling and prediction techniques to map historical, present and future vegetation distribution. Predictive vegetation models are also used to map ecological goods and services (e.g., carbon biomass) and other vegetation characteristics (e.g., floristic quality, vertical structure, quality / health of vegetation). The maps and models have different applications that range from forest conservation, forest restoration, green systems design, natural resource management and land use planning initiatives.



Predictive Mapping & Modelling Projects