Research projects



See also Palaeo Environments, Ice Sheets and Climate Change team or Artificial Intelligence


AI for smart conservation

In the AI for smart conservation project, BAS are collaborating with local ecologists and conservation agencies to develop decision-making tools informed by sea ice forecasts. By combining satellite observations, GPS …

SAR Sentinel image


The AI4EO Accelerator is a collaboration between Φ-Lab of the European Space Agency (ESA) and the UKRI Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the …


Autonomous Cruise Planning

Given a set of science objectives, a collection of assets and a model of the ocean and weather conditions, our autonomous task planner creates a plan of activities that achieve …

Autonomous Marine Operations Planning

AI systems will provide automated decision support in polar navigation delivering optimal fuel economy and minimising carbon emissions.



Fragmentation occurs when parts of a habitat are lost due to for example change of land use, leaving behind smaller unconnected areas. This makes survival of the species of the …

Ice core data showing CO2 (yellow) and temperature going back 800,000 years


Environmental research relies on digital infrastructure (hardware, software and methods) to provide services that help researchers answer questions about the environment around us, and innovators to work out ways that …

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Digital Twins of the Polar Regions

Digital Twinning is next generation technology for data fusion and computer modelling enabling us to rapidly get answers to “what-if” questions. DTs are already in operation in industry and involve …

A close up of a map


Exposure is one of the corners of the risk triangle, the other parameters being hazard and the vulnerability. In this context exposure is defined as the degree to which elements-at-risk …

RRS Sir David Attenborough Icebreaking during Ice Trials 2022

IceNav: Risk aware In-Ice navigation using machine learning emulation

Navigation through sea-ice entails considerable risk, with periods when the ship is trapped in ice leading to large fuel expenditure and possible damage to the vessel. British Antarctic Survey, Turing …

Ice on water in a melt pond


IceNet is a probabilistic, deep learning sea ice forecasting system developed by an international team and led by British Antarctic Survey and The Alan Turing Institute [Andersson et al., 2021]. …



Project Summary: PolarRoute, a sub-project within Autonomous Marine Operations Planning,  is developing a integrating AI algorithm that utilises a diverse range of available environmental datasets, and forecasts, to provide real …


Scalable automated detection and tracking of icebergs in the Southern Ocean

We are developing fully automatable methods for the detection of icebergs using satellite radar data and bayesian tracking methods to monitor icebergs at the individual level and continental extent.

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The evolution and ecology of Antarctic sea floor communities

The evolution and ecology of Antarctic sea floor communities is a UKRI Future Leaders Fellowship, led by Dr Rowan Whittle, looking at the past, present and future of life at …