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AI & Robotics in Space & Earth Science | Scan AI Solutions

AI & Robotics in Space & Earth Science

Intelligent solutions delivering insight and improved outcomes for climate change and disaster response.

Transforming space research and climate science with AI and robotics

AI and robotics are used by organisations such as NASA, ESA and the wider space community to push the frontiers of space, lunar and solar research and develop new tools to help solve some of the biggest challenges that humanity faces today. Key applications in use on Earth and embedded in satellites include:

Tackling Climate Change

AI helps climate science by processing massive datasets from satellites, sensors, and climate models at unprecedented speeds. This accelerates complex simulations, helping to forecast extreme weather events and track environmental changes such as the rate at which glaciers melt, how clouds develop, deforestation and land-use trends, and the optimisation of renewable energy.

3D visualisation of climate data being processed to forecast extreme weather events

Improving Disaster Response

AI is being used to develop multimodal foundation models built on previous and current datasets collected from satellite-based sensors. This accelerates the study of previous natural disaster events such as wildfires, hurricanes and flooding, in order to advance early warning systems, estimate damage patterns and costs, and better coordinate search and rescue missions.

Satellite imagery of terrain used for AI-powered disaster response and damage assessment

Mapping & Exploration

AI can be used to automate land use, land cover and lunar surface mapping by processing satellite, aerial, and drone imagery. Machine learning models identify features such as buildings, forests, water bodies or craters. This helps generate detailed, accurate, up-to-date spatial maps, track environmental changes over time, or help plan moon missions and exploratory expeditions by autonomous robotic vehicles.

Machine learning pipeline analysing lunar surface imagery for mapping and exploration

Predicting Space Weather

AI models can process real-time solar imagery, solar wind data and satellite measurements to forecast solar flares, geomagnetic storms, and radiation shifts that impact our power grids and satellites. The better these prediction systems are, the more likely we are to get days instead of hours in order to plan for possible disruptions.

Satellites monitoring solar activity for AI-powered space weather forecasting

Guidance for responsible space and earth science AI adoption

AI widespread implementation can face significant hurdles, including high financial costs and the need for specialised equipment. Scan helps mitigate and reduce these risks: as an NVIDIA Elite partner and NVIDIA DGX Managed Service Provider, our professional services team is ideally placed to advise and guide you on the most appropriate AI systems and software to cope with the large datasets and foundation models needed to accelerate your research.

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Discuss your space AI and robotics requirements with Scan's specialist team.