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NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)

Lead Research Organisation: King's College London
Department Name: NCEO Kings

Abstract

The vision for NEODAAS is to provide NERC and UKRI academic communities with flexible, responsive and innovative national capability in Earth Observation (EO) data analysis using satellites and aircraft and Artificial Intelligence methods, to meet the wide range of UK community needs through a variety of services, advice and training. NEODAAS will support scientists addressing key strategic research and innovation priorities and contributing to understanding of important environmental issues affecting the UK.

EO is crucial for observing local, regional or large scale Earth system processes over long periods of time, as the data records extend to multi-decadal, or in near-real time (NRT) to guide environmental sampling in the field, to support short-term forecasts, and as a rapid response to disasters or unexpected environmental events. There is increasing demand for EO, and while data can be obtained from providers such as the US NASA and European Copernicus, demand for UK-specific or bespoke services was confirmed by a widely attended community "town hall" and the NERC Facilities "Deep Dive" review. Furthermore, many non-EO experts do not have the skill base to do their own processing. Hence, the need for NEODAAS.

NEODAAS EO services will include: bespoke EO products and information including production of analysis-ready data products to meet particular UK needs (such as UK projections or regional algorithms); analysis of data from sensors utilised as part of the NERC World Class Labs £5M investment in the NCEO Airborne Earth Observatory; rapid-response with fast delivery times; provision of data in formats that can be easily used by non-experts; operationalisation of algorithms produced by NERC-funded research, for wider impact in the community; and provision of advice and training in the sources and best practice in EO.

Artificial Intelligence (AI) is playing an increasingly important role in digital environmental science. However, there are a large number of AI techniques and software packages available, and knowing which are best to use and how to apply to EO or environmental data can often be confusing to non-specialist researchers. NEODAAS has established an AI service based around a large GPU computer system and dedicated AI experts. The combination of computational resources, staff expertise and training has been well extremely received by community. NEODAAS has quickly built a reputation in this area, resulting in increasing demand from NERC grant-holders and PhD students at Centres for Doctoral Training (CDTs) leading to a doubling of the annual requests to the facility. The AI service will be continued in the new commission.

NEODAAS offers a centralised service from one location, providing critical mass and avoiding data processing duplication by multiple users, hence, saving on time and carbon footprint,. Also, noting that as of July 2023 access to operational parts of Copernicus is not possible for the UK and access to data may also be limited in the future, NEODAAS will provide an alternative source of data in case of restrictions to Copernicus data.

Publications

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Nunes P (2025) Satellite-based evidence of upwelling separation off NW Iberia in Continental Shelf Research

 
Title Coccolithophore Dress 
Description The dress was inspired by coccolithophore images generated by NEODAAS. The dress was created in collaboration with PML and the Arts University Plymouth, it was displayed at the Royal Society Summer Science Exhibition in London and it is now on display in The Box Museum Plymouth. 
Type Of Art Artwork 
Year Produced 2024 
Impact The dress received media attention and interest. 
URL https://www.youtube.com/watch?v=2ndUcdxq84A
 
Title POP24 
Description As part of Protecting our Planet Day (POP24), PML experts share an introduction to Ocean colour, and why it matters to our health and the health of our planet. POP24 is an inspiring live-streamed event for schools full of sessions from passionate people working to protect our planet, delivered by ESERO-UK at STEM Learning in collaboration with the European Space Agency and the UK Space Agency. In the session, PML's Aquila Erskine spoke to Dr Gemma Kulk and Claire Widdicombe from Plymouth Marine Laboratory, and Prof Alex Nimmo-Smith from the University of Plymouth, where they explain more about observing Ocean colour from space, various sampling techniques, and the microscopic organisms you find in the ocean. 
Type Of Art Film/Video/Animation 
Year Produced 2024 
Impact 36,344 people joined our event during the POP24 day. Additionally, the video was later added to YouTube and received 2.6k views. 
URL https://www.youtube.com/watch?v=fbtOLCaAL60
 
Description CEOS-Jupter Notbooks
Geographic Reach Europe 
Policy Influence Type Contribution to new or improved professional practice
 
Description OSPAR-Pelagic Habitats Thematic Assessment
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
URL https://oap.ospar.org/en/ospar-assessments/quality-status-reports/qsr-2023/thematic-assessments/pela...
 
Description South-West Marine Ecosystems (The State of South-West Seas)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Participation in a guidance/advisory committee
URL https://swmecosystems.co.uk/wp-content/uploads/2024/07/SWME_2023_consolidated_report_compressed-1.pd...
 
Description The power of plankton: Advancing our understanding of the role and value of plankton as marine natural capital
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
URL https://marinescience.blog.gov.uk/2024/01/24/the-power-of-plankton-advancing-our-understanding-of-th...
 
Title YOLOv11 model 
Description YOLOv11 model trained to detect and classify plastic in drone images. Annotated dataset of drone images. 
Type Of Material Computer model/algorithm 
Year Produced 2024 
Provided To Others? Yes  
Impact Used in Plastic Detection from Drone Images Project. 
 
Description Collaborating with JASMIN 
Organisation Science and Technologies Facilities Council (STFC)
Department JASMIN
Country United Kingdom 
Sector Public 
PI Contribution Collaborating with JASMIN on development of AI Notebook service at JASMIN
Collaborator Contribution N/A
Impact N/A
Start Year 2024
 
Description Collaboration with IBM and Exeter 
Organisation IBM
Department IBM Research in the UK
Country United Kingdom 
Sector Private 
PI Contribution Developing internally funded AI project with formal contracts and legal agreements in place.
Collaborator Contribution Developing internally funded AI project
Impact N/A
Start Year 2024
 
Description Collaboration with IBM and Exeter 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution Developing internally funded AI project with formal contracts and legal agreements in place.
Collaborator Contribution Developing internally funded AI project
Impact N/A
Start Year 2024
 
Description ADS 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Multi-angular airborne observations for simulating thermal directionality at the satellite scale
Year(s) Of Engagement Activity 2024
URL https://ui.adsabs.harvard.edu/abs/2024EGUGA..2611905L/abstract
 
Description CEOS working group developing AI White Paper 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Engage in the CEOS working group, developing AI White Paper as representative of UKSA
Year(s) Of Engagement Activity 2024
 
Description Can AI save the environment while straining its resources 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Media (as a channel to the public)
Results and Impact Contributed to the AWE international article on AI.
Year(s) Of Engagement Activity 2024
URL https://www.awe.international/article/1906076/ai-save-environment-straining-its-resources
 
Description EGU24 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Multi-angular airborne observations for simulating thermal directionality at the satellite scale
Year(s) Of Engagement Activity 2024
URL https://meetingorganizer.copernicus.org/EGU24/EGU24-11905.html
 
Description Exeter ML4EO workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Invited speaker at Exeter ML4EO workshop. The Machine Learning for Earth Observation (ML4EO) workshop is an annual event hosted by the University of Exeter, focusing on the application of machine learning and artificial intelligence techniques to Earth observation data.
Year(s) Of Engagement Activity 2024
 
Description Guest Lecture to University of Exeter Computer Science Students 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Undergraduate students
Results and Impact Guest Lecture to University of Exeter Computer Science Students
Year(s) Of Engagement Activity 2024
 
Description Interview with ITV 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Media (as a channel to the public)
Results and Impact The interview was about AI developments.
Year(s) Of Engagement Activity 2024
 
Description NEODAAS LinkedIn 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Number of posts: 24
Number of followers: 141
Year(s) Of Engagement Activity 2024
URL https://www.linkedin.com/company/neodaas
 
Description NEODAAS and FSF training course 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact NEODAAS held the annual joint training course with FSF May 2024 - 24 people (17 in person, 7 remote). The majority of which were PhD candidates, but others included ECRs & Post Docs. The course gave attendees an introduction to using EO and field spectroscopy equipment in their research.
Year(s) Of Engagement Activity 2024
URL https://neodaas.ac.uk/news/learning-from-the-experts-earth-observation-training-course-with-neodaas-...
 
Description Plenary Speakers- ASLO2025 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Challenges and Opportunities for Using Machine Learning with Aquatic Science Data
Year(s) Of Engagement Activity 2024
URL https://www.aslo.org/charlotte-2025/plenary-speakers/
 
Description The NERC Digital Gathering 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Attended NERC digital gathering event. The NERC Digital Gathering is an annual event organized by the Natural Environment Research Council (NERC) to showcase the growing role of digital technologies in environmental research.
Year(s) Of Engagement Activity 2024
 
Description UKRI Environmental data research future workshop 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Invited to attend UKRI Environmental data research future workshop. The UK Research and Innovation (UKRI) Environmental Data Research of the Future workshops in 2024 were designed to gather key leaders across environmental, computational, and data sciences to discuss challenges and opportunities in creating a cohesive digital landscape for environmental research.
Year(s) Of Engagement Activity 2024