“Open Buildings”: a mapping platform in Africa powered by artificial intelligence, like Google Maps

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The project Open Buildings by Google represents a major advance in urban mapping, particularly in Africa and the regions of the Global South. Through the use ofartificial intelligence, this ambitious project, managed from Google’s AI research laboratory in Accra, offers a set of open and detailed data on the location and geometry of buildings. Compared to a Google Maps dedicated to Africa, it integrates high-resolution satellite images to generate maps of urban development from 2016 to 2023. With more than 1.8 billion buildings mapped, covering approximately 58 million km², Open Buildings provides essential information for understanding the dynamics of urbanization in these regions.

The project Open Buildings of Google represents a major advance in the world of information technology and artificial intelligence. Based on the use of high-resolution satellite data, it provides detailed mapping of urbanization in Africa as well as other regions of the Global South. Comparable to Google Maps, this initiative aims to make billions of often invisible buildings in these regions visible, through the use of AI. This article explores the functioning, origins and potential impact of this revolutionary platform.

The project Open Buildings was born from a collaboration between Google’s artificial intelligence research center in Accra, Ghana, and several global partners. The main objective is to provide a set of exhaustive geospatial data, allowing precise mapping of built infrastructure in the countries of the South. This includes not only Africa, but also much of Southeast Asia, Latin America and the Caribbean. With the ambition to improve urban management and better infrastructure planning, this initiative joins the functions of Google Maps, but with an intention focused on development and innovation.

An open and massive dataset

The heart of the project Open Buildings resides in a huge dataset, which covers an area of ​​58 million square kilometers. Using images from the Sentinel-2 satellite, this data identifies approximately 1.8 billion buildings. Using advanced artificial intelligence algorithms, Google is able to extract not only the locations but also the approximate shapes and heights of buildings. This type of data is essential to provide detailed analyzes on aspects such as population density and urban resource management.

Practical applications of the project

One of the many applications of Open Buildings is to support sustainable urban development. By mapping urban development year after year, the Open Buildings 2.5D temporal dataset helps assess the growth of cities between 2016 and 2023. This temporal perspective helps city planners, governments and non-governmental organizations plan effectively. From the informal settlements of Makoko in Lagos to the refugee camps of Dadaab, the platform reveals millions of previously invisible buildings.

The role of Artificial Intelligence

The use of AI in the project Open Buildings is not just a method for managing massive volumes of data, but also a way to improve its accuracy and usefulness. Advanced image processing techniques optimize the quality and clarity of the generated maps. This ensures high accuracy in the detection and identification of built structures, making the data set particularly useful for solving problems related to urban density, land use planning and population census.

The potential for future expansion

Currently in its third version, the initiative Open Buildings continues to grow and improve. Each additional update of the project increases the quantity and quality of data available. The potential of this platform is immense. With coverage that already includes approximately 40% of the earth’s surface and 54% of the world’s population, other regions could benefit from these advances. As the underlying technology evolves, we can expect other applications and features to emerge, providing an even more powerful tool for overall development.

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