Objective
It is widely known that as much as 80% of key information used in many industries such as meteorology, logistics, navigation, oil and gas, agriculture, ecology, etc. comes from space, or, to be more precise, via satellites. It is almost impossible to imagine how those industries would function without such data. According to statistics, in the last decade, more than 1,000 civilian satellites have been launched into Earth's orbit. Space segment science, and in particular, hardware in the space segment advances so fast that it is nearly unrecognizable compared to just a decade ago. Lower launch costs and growing demand for the satellite data fosters the exponential increase in satellite launches, not just by space agencies (e.g. ESA, NASA), but also by private companies and even universities. The major challenge in the satellite industry lies in transferring big and growing amounts of information that are coming from satellites onto the ground and processing it in real time and at the same time, at acceptable costs. In comparison to the space segment, the ground segment doesn’t seem to be keeping pace with state of the art technology. It is still heavily based on special-purpose hardware, which requires a lot of time and money to build, deliver, configure and use, and is, at the same time, difficult to maintain and slow to fix and modify. After Haiti earthquake in 2010 – from the moment the earthquake stroke it took 40 hours to get a satellite image based assessment of the disaster impact. This was way too long considering the fact that thousands of human lives were in danger. The toll in human lives, suffering and property loss from these catastrophes can be reduced, with a sufficient number of satellites and fast ground segment processing. This is where Blink comes in!
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- natural sciencesphysical sciencesastronomyspace exploration
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencesearth and related environmental sciencesgeologyseismology
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Topic(s)
Call for proposal
(opens in new window) H2020-SMEInst-2014-2015
See other projects for this callSub call
H2020-SMEINST-1-2015
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
10000 ZAGREB
Croatia
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.