Ireland, Great Britain and northern France are pictured in this rare cloud-free view, acquired by Envisat on 28 March 2012. Credit: ESA.
Scalable cloud-based data processing is the future of Earth Observation due to the large volumes of data being generated by satellite-based instruments, remote sensing tools and onsite observations. In particular, as the Sentinel family of satellites grows during the first half of the 21st century, data volumes will increase on a daily basis.
With this in mind, Parameter Space led a pathfinder project leading to the development of a Regional Exploitation Platform for the Atlantic region, called EO4Atlantic. The platform enables the development of customized information services on a cloud-based high-performance system within a collaborative environment.
The EO4Atlantic platform allows users to analyse large data sets in a high-performance capacity, without the need to download large data volumes. Users are able to:
- access ESA Sentinel data
- perform analysis on the data
- visualise and save outputs (images, maps, layers, NetCDF)
- Standard toolboxes for analysis of satellite data
- Workflows allowing the chaining together of different tools to create multiple processing steps
- Exemplar services providing products, such as
- sea surface wind statistics for e.g. renewable energy site evaluation
- flood risk assessment in coastal regions
- ecological and physical characteristics of inland and coastal waters
- Incorporation of multiple datasets and datatypes.
Other functions include:
User-contributed services – upload your own:
- Platform replicates local development environment
- Test service on small scale first
- Run your own analysis algorithms close to the data
- Save outputs for later re-use, sharing
Create and run customised workflows using standard tools:
- ESA’s Sentinel toolboxes;
- GDAL and other standard tools