Data science: Application of techniques, including AI and block chain, to unlock opportunities for improved and more efficient environmental monitoring, regulatory compliance, and land management
Background
Geospatial data: Effective use of modern data architecture and analysis to make full use of data collected in the Defra Group and other relevant sources (for example from satellites, climate observations/models, and from other government departments).
Next steps
Get in touch with Research.Interests@defra.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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Data Science of the Natural Environment
We will develop a data science of the natural environment, deploying modern machine learning and statistical techniques to enable better-informed decision-making as our climate changes. While an explosion in data science...
Funded by: EPSRC
Why might this be relevant?
The project focuses on data science techniques, including AI, to improve environmental monitoring and land management.
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SECURE- network for modelling environmental change
SECURE is a network of statisticians, modellers and environmental scientists and our aim is to grow a shared vision of how to describe and quantify environmental change to assist in decision making. Understanding and for...
Funded by: EPSRC
Why might this be relevant?
The project aims to develop statistical tools to support decision making in environmental change, which is relevant to improved environmental monitoring and land management.
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Satellite based Environmental risk analysis tool - FinEO
Earth observation (EO) datasets provide insights into different types of nature and biodiversity risks, impacts and opportunities linked to land use changes: attribution of ecosystem degradation (extent and quality) to i...
Funded by: Innovate UK
Why might this be relevant?
The project addresses the application of AI and satellite data for environmental risk analysis and compliance, fully answering the question.