The digital environment which includes earth observation, smart sensor development and social media are generating unprecedented volumes of data in new and rapid data streams resulting in data science and analytic challenges in the environmental and ecological sciences. We are developing statistical and machine learning methodologies to learn about and improve understanding of our natural landscapes. Our approaches enable pattern discovery, quantify uncertainty, and deliver visualisation tools to engage with stakeholders.
In a recent project “A digital environment for water resources NE/T005564/1”, we are developing and utilising smart sensors, as well as developing predictive analytics and a visualisation platform, to improve the next generation of environmental regulations for water resources. Partners in the multi-disciplinary project are the Scottish Environment Protection Agency (SEPA) and the Innovation Centre for Sensor and Imaging Systems (CENSIS).