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.
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
Bignami F
(2024)
Environmental factors affecting the distribution of deep-water rose shrimp (Parapenaeus longirostris, Lucas, 1846) abundance in the Strait of Sicily (Mediterranean Sea)
in Continental Shelf Research
Brown L
(2024)
Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies
in Remote Sensing
Cleasby I
(2024)
Functional responses of a medium-ranging marine predator highlight the importance of frontal zones as foraging locations
in Marine Ecology Progress Series
De Conto T
(2024)
Characterizing the structural complexity of the Earth's forests with spaceborne lidar.
in Nature communications
Driscoll S
(2024)
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks
in Journal of Computational Science
Jennings S
(2024)
Structural characteristics of flow units in Svalbard valley glaciers and their utility for investigating ice-dynamic changes over centennial timescales
in Journal of Glaciology
Kuhlisch C
(2024)
Algal blooms in the ocean: hot spots for chemically mediated microbial interactions.
in Nature reviews. Microbiology
Mata A
(2024)
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas
in Ecological Informatics
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 |
