Presenting the papers
The first paper, “ASB – A scalable platform enabling big EO data analytics in cloud based environments” presents the evolution of the use of state-of-the-art architectures and technologies applied to the Automated Service Builder Framework, an application agnostic infrastructure-as-a-service for implementing complex processing chains over globally distributed processing and data resources designed to meet the EO paradigm change: bring the user/algorithm to the data.
The second paper, “BLENDED – Executing Machine Learning Applications in a Secured and Decentralised Platform” presents the recently completed BLENDED project performed for the European Space Agency. BLENDED looked at technical issues perceived to be blocking the massive exploitation of space data. It investigated how the synergic use of blockchain and deep learning can help to best utilise the immense wealth of knowledge that is being generated nowadays.
Importance of Earth Observation
Earth Observation involves collecting information about Earth from a distance using devices that have remote sensing capabilities on them such as satellites. Most of the information like photos and radar images taken from remote-sensing satellites relates to the planet’s physical, chemical and biological states. When this data is collected, cleaned, and explained, it provides numerable insights into the planet’s natural and manmade environment. As such, it becomes possible to make and reach conclusions about the state and evolution of our planet, as well assessing crises such as natural disasters, or human-made phenomena like war or oil spills.
News/SpaceApps/Communications & Media
