3D city models offer immense benefits to a wide array of users. Yet, the creation of detailed, realistic, and current urban 3D models remains a costly and time-consuming task. We need a faster method.
At a glance:
Cities worldwide, from New York to London, Berlin to Shanghai, are launching their own 3D city models. These tools offer stakeholders a powerful new way to understand and interact with the built environment.
Urban planners, property developers, telecom engineers, logistics companies, civil society groups, and academic researchers can explore a 3D model of a city. This exploration is truly revolutionary.
However, the creation of a 3D city model remains costly, technically challenging, and time-consuming. While some cities have the budget to create their own 3D models, it’s harder for less wealthy cities to do so, not to mention small towns and villages. To ensure everyone benefits from the opportunities that 3D models present, we need a more efficient production method.
A 3D city model can be defined as: “digital models of urban areas that represent terrain surfaces, sites, buildings, vegetation, infrastructure, and landscape elements in three-dimensional scale as well as related objects (e.g., city furniture) belonging to urban areas”.
The creation of a 3D city model starts with the collection of geographical and spatial data directly from satellite imagery. This imagery provides a comprehensive, overhead view of the area to be modeled.
Advanced processing algorithms extract key features from the satellite images. These features include building footprints, vegetation, and other physical details. We then accurately position these features on the map using geo-referenced data.
If we have additional data, such as Computer-Aided Design (CAD) or Building Information Modeling (BIM) files for individual buildings, we can incorporate this information. This process allows us to create highly detailed and realistic renderings of the buildings and other infrastructure.
Our texturing process combines artificial intelligence, heuristics, and procedural technologies. This combination creates a credible, life-like environment from satellite imagery and exogenous data.
We can also integrate other relevant data, such as street names, points of interest, and zoning information. This integration enhances the accuracy and utility of the model.
We then integrate all this data into a user-friendly interface, typically a 3D visualization software. This software allows users to navigate and interact with the highly detailed, accurate model of the city.
Urban 3D models have existed for millennia. The oldest known scale models of urban spaces were created by the Tripillian Culture, in modern-day Ukraine, dating back to 6000 BC. Fast-forward to the 1980s, and the emergence of computer-aided design (CAD) enabled the earliest attempts to create 3D visualizations of urban areas. Today, thanks to advances in computer graphics, satellite imagery, GIS, and GPS, we can create much more realistic and accurate urban 3D models.
The introduction of Google Earth and OpenStreetMap have made basic 3D visualizations of the world available to anyone with an internet connection. But for more specialized used cases, authorities need to create their own 3D model.
The potential uses of a 3D city model are incredibly diverse. One study from 2015 found at least 100 applications of the technology. That figure has surely increased since.
Here are just some of the most compelling uses of 3D models for cities, villages, and even rural areas:
Despite major advances in the underlying technology in recent years, creating an urban 3D model remains expensive and time-consuming, and is currently only a viable option for major conurbations. Creating an up-to-date, 3D visualization of a city is challenging because of:
Creating and maintaining a 3D city model is costly and time-consuming. Only major cities and wealthy regions can afford them. This leaves out rural populations and people in developing countries.
Related: Why the digital divide is holding humanity back
At LuxCarta, our research and development teams have combined our GIS expertise with advances in artificial intelligence. This combination provides a tool that makes it easy, fast, and cost-effective to create 3D models of cities, towns, villages, and even remote areas – anywhere on Earth.
BrightEarth is our solution. It’s a cloud-based platform that uses AI to automate the creation of 3D city models. It can create a 3D model of any location on Earth, using satellite imagery and other data sources. The result is a highly detailed, accurate, and up-to-date 3D model that can be used for a wide range of applications.
Learn more about BrightEarth here, or contact us today to begin creating your next 3D city model.