The NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) provides a range of services to support the use of Earth Observation (EO) within the UK research community and beyond.
The following key services are offered:
Data from the latest satellite passes from a number of sensors such as OLCI, VIIRS and AVHRR are downloaded each day and processed into a range of products using custom processing chains developed by NEODAAS.
We work with researchers from a number of institutes to ensure NEODAAS products reflect the state of the art and fulfil current and future needs of the community. NEODAAS staff are frequently involved in other research projects at Plymouth Marine Laboratory covering a range of topics. Being able to take new products, incorporate into operational processing and offer to the wider community is a key function of NEODAAS.
The data ingestion and processing systems within NEODAAS allow data to be processed within hours of being made available by a data provider allowing us to support projects requiring near real-time (NRT). For example, NEODAAS regularly support research cruises by supplying daily ‘bulletins’ which make use of satellite data and our expertise to provide an overview of the area around the current cruise ship position. NEODAAS is also able to rapidly acquire and process data to support current events such as blooms, volcano eruptions, fires or oil spills. Click here to access our data.
Incorporating what was the NERC Airborne Research Facility Data Analysis Node, NEODAAS use software developed in-house to process airborne hyperspectral, thermal, LiDAR and digital photography data from the suite of instruments managed by the National Centre for Earth Observation (NCEO).
NEODAAS staff are able to offer advice on a wide range of topics related to Earth Observation, from choosing the best sensors and algorithms for your area of interest and assistance interpreting data to practical advice on data processing, including optimising algorithms to run on large datasets. We also provide training to users by hosting and participating in training courses.
Additionally, NEODAAS staff often participate in outreach activities to help train the next generation of EO scientists.
To facilitate application of Deep Learning to Earth Observation data, NEODAAS is in the process of setting up a large Graphical Processing Unit (GPU) cluster comprising five NVIDIA DGX-1 MaxQ nodes connected to 0.5 PB of dedicated storage. NEODAAS are able to offer compute time development assistance with applying the latest Deep Learning techniques to EO data.