Automated urban growth prediction Tool allowing urban planners to spatially extrapolate the growth of their city under different scenarios (e.g., future population size, different time horizons, sensitivity to restricted areas, degree of randomness, etc.), based on past growth and current land use.
Urban planning applications (energy audits, investment, etc.) require an understanding of built infrastructure and its environment, i.e., both low-level, physical features (amount of vegetation, building area and geometry etc.), as well as higher-level concepts such as land use classes (which encode expert understanding of socioeconomic end uses).
Tool for automated identification buildings of different type helping in identifying possible areas of informal settlements.
AI based geospatial tool for automated annotation of Urban Landscape Design.