Treffer: Opensource Solutions for Sharing Integrated 3D Geospatial Layers on the Web ; L’Integrazione di Strati Informativi Geospaziali 3D per la Condivisione in Rete Utilizzando Soluzioni Opensource

The ever-increasing use of complex geospatial datasets is now a constant in many application fields. For the purposes of optimal exploitation of these data, their integration in a geospatial environment is necessary for the analysis and processing of the datasets. This is how urban Digital Twins are born, i.e. urban-scale digital twins real-time connected to the real model, and viewable through the WebGIS platform. Likewise, the complexity, size and heterogeneity of this data makes its management, and its web sharing online complex. In light of this, this contribution analyzes the structuring of an integrated system for the visualization, analysis and network processing of complex 3D datasets, through the exclusive implementation of open-source technology. This type of system is capable of uploading georeferenced maps, 3D models, point clouds, data from sensors, databases, and real-time calculation systems. The exclusive choice of open-source solutions aims to favor sustainable solutions for the purposes of research and free sharing of the developed technologies. Compared to proprietary solutions, open-source solutions require scripting skills in HTML, JavaScript, Python, PHP and CSS languages. In the future, new implementations of Machine Learning within these platforms will give the possibility of integrating the processing coming from artificial intelligence in real time, further enhancing the possibilities of use. ; L’utilizzo sempre maggiore di dataset geospaziali complessi risulta ormai essere una costante in numerosi campi applicativi. Ai fini dello sfruttamento ottimale di questi dati, la loro integrazione in ambiente geospaziale risulta necessaria per l’analisi e le elaborazioni successive. Nascono così i Digital Twin urbani, ovvero gemelli digitali a scala urbana connessi real-time al modello reale, e visualizzabili attraverso piattaforme WebGIS. Allo stesso modo la complessità, la dimensione e l’eterogeneità di questi dati ne complica la gestione, e, in particolare, la condivisione in rete. Alla luce ...