Earth observation from space is a key tool in the study of environmental risk. Satellites can be used to observe the climate and monitor changes in the environment and make up of the Earth. Satellite images can help researchers model and create predictions in such areas as weather, buildings, forests and biodiversity.
Oceans play a vital role in the future of the planet, from currents affecting climate; to the countless species that rely on them for life. AI and machine learning techniques play an important role in monitoring the movements of the ocean as well as tracking species numbers and habits in order to make predictions and better protect these important ecosystems.
The melting of the ice caps due to climate change is one of the most important environmental dangers facing the planet. Polar science is a pivotal tool in monitoring changes to the polar regions in order to protect these fragile ecosystems and therefore protect the planet as a whole. AI and machine learning are already playing a key role in this challenge.
Affiliated Depts and Partners that work in this field include the Dept of Earth Sciences, Dept of Chemistry, Dept of Geography, Dept of Applied Mathematics & Theoretical Physics, Dept of Computer Science and Technology, Dept of Plant Sciences, British Antarctic Survey, Cefas(Centre for Environment, Fisheries and Aquaculture Science), ESA (European Space Agency), Frontier Development Lab, German Aerospace Center.
To find out more about the specific research topics that our AI4ER staff and students are undertaking in this field please click on the links below.
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