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 [email protected]
Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
-
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
Lead research organisation: Lancaster University
Why might this be relevant?
The project focuses on data science techniques, including AI, to improve environmental monitoring and land management.
-
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
Lead research organisation: University of Glasgow
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.
-
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
Lead research organisation: TELESPAZIO UK LIMITED
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.