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Everything is there, everything was already there, in fact almost... everything. On this "almost" rests and resides one of the main (the main, on a technical level) reasons for the ongoing dialectical revolution. That is, if a little while ago we asked ourselves why there is so much insistence today on the communication of things that could have been achieved in the past, then certainly the world of machine learning and neural networks are giving a strong push to the much faster and more massive 3D geographical restitutions, whether derived from traditional digital photogrammetric (better to specify) or LIDAR, and the matter allows gross minimization in production times and consequent cost reductions per square kilometer returned, therefore certainly representing a convincing element for understanding the push towards new market paradigms whose explosion we too are witnessing, in the geospatial sector. [ABSTRACT FROM AUTHOR]

Cities nowadays need to have long-term visions and perspectives to achieve the ambitious targets for which vast investments are being made. They need to act with competence and capability-based planning, and to come up with suitable solutions. Technology is unquestionably a factor of crucial importance when aiming for these targets. Digital innovation, based on data knowledge, analysis and projection, is crucial to tackle the most demanding challenges of our times. The methodological approach proposed here is an Urban Digital Twin applied to cities as a predictive model to obtain a projection of their development in terms of sustainability. [ABSTRACT FROM AUTHOR]