AI, 3D & Geospatial Intelligence?


For the past many years, the modern way of capturing and depicting the physical space of the world in digital means has helped in the evolution of society. As more and more technologies sprang up, the possibilities to record geospatial data became simpler. Within a dimension of the digital transformation, geospatial intelligence is where perception and reality meet. Interestingly, the future of geospatial intelligence opens its doors to Artificial Intelligence and 3D.

What is Geospatial Intelligence?

Geospatial intelligence is the information or data derived from the analysis of images and data associated with a particular location. The technology utilizes imagery to survey and assess human activity as well as physical geography anywhere on this planet. Initially, the US military used geospatial intelligence; soon, the technology was adopted across many countries for different purposes.

Presently, geospatial intelligence is being used for energy transmission, smart cities, military bases, etc. The role of geospatial intelligence is becoming more important and crucial in this digital world.

Role of AI and 3D

Technological evolution has caused a unique collaboration of artificial intelligence and 3D which has been highly influencing geospatial intelligence recently. AI and 3D printing are turning around the fundamental ways of how IT solutions are implemented and operated across all application domains, including geospatial intelligence.

Now, geospatial intelligence goes beyond satellite imagery and creates 3D point clouds with the help of LIDAR scans. They represent real-life objects digitally. However, the existing geospatial capture methods are excruciatingly slow to facilitate manual analysis. To relieve humans from the painful, lengthy work, artificial intelligence and 3D have been incorporated into geospatial intelligence.

Other than recording real-time events, geospatial intelligence along with AI and 3D printing can move further and analyze to make predictions on natural disasters and hence, can also prevent natural calamities like wildfire, assist humans during critical times, etc.

3D point cloud and digital twin

A 3D digital cloud can represent almost any type of physical object, site, landscape, or geographic region. The technology has a handful of benefits such as environmental monitoring, disaster management, urban planning, etc. Simply put, 3D point clouds are used as base data for reconstructing 3D models.

Digital twins are virtual models that connect the virtual and physical world at a particular point. 3D point clouds represent the major components of geospatial digital twins. Some examples of these real-world digital twin models are 3D terrain, vegetation, buildings, and infrastructures.

Environmental epidemiology and Geospatial Intelligence

Geospatial intelligence combined with AI and 3D printing have unraveled a planet wherein the technologies can be specifically applied to environmental epidemiology. Geospatial intelligence provides a digital view of the physical world; when paired with AI and 3D printing, it empowers stakeholders with the informational edge needed to prevent, battle, and recover from wildfires. This technology is used for the prevention and control of various natural disasters as well as possible, unfathomable events.

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