Keynote I - Maximising the socio-economic potential of EO data.

Video thumbnail (Frame 0) Video thumbnail (Frame 1654) Video thumbnail (Frame 3519) Video thumbnail (Frame 5047) Video thumbnail (Frame 6410) Video thumbnail (Frame 7823) Video thumbnail (Frame 11147) Video thumbnail (Frame 14064) Video thumbnail (Frame 15727) Video thumbnail (Frame 18458) Video thumbnail (Frame 19095) Video thumbnail (Frame 21661) Video thumbnail (Frame 23936) Video thumbnail (Frame 26288) Video thumbnail (Frame 27828) Video thumbnail (Frame 29891) Video thumbnail (Frame 33747) Video thumbnail (Frame 34789) Video thumbnail (Frame 37783) Video thumbnail (Frame 39218) Video thumbnail (Frame 39939) Video thumbnail (Frame 40515)
Video in TIB AV-Portal: Keynote I - Maximising the socio-economic potential of EO data.

Formal Metadata

Keynote I - Maximising the socio-economic potential of EO data.
Title of Series
Part Number
Number of Parts
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Release Date

Content Metadata

Subject Area
Keywords European Commission
Finite element method Regulärer Ausdruck <Textverarbeitung> Meeting/Interview Execution unit 3 (number) Energy level Bit Computer programming Spacetime
Satellite Algorithm Moment (mathematics) Basis <Mathematik> Perspective (visual) Orbit Perspective (visual) Mathematics Frequency Process (computing) Computer animation Order (biology) Right angle Quicksort Summierbarkeit Data structure Spacetime Physical system Wide area network
Satellite Area Slide rule State observer Service (economics) Service (economics) Information Connectivity (graph theory) Expert system Basis <Mathematik> Mereology Computer programming Field (computer science) Product (business) Product (business) Architecture Data management Computer animation Selectivity (electronic) Series (mathematics) Information security Computer architecture Spacetime
Satellite Metre State observer Slide rule Building Service (economics) Observational study State of matter Image resolution Multiplication sign Open set Information privacy Computer programming Product (business) Mathematics Latent heat Term (mathematics) Summierbarkeit Information security Physical system Identity management Area Distribution (mathematics) Software developer Basis <Mathematik> Bit Instance (computer science) Numbering scheme Continuous function Cartesian coordinate system Exploit (computer security) Orbit Message passing Word Computer animation Integrated development environment Website Game theory
Satellite Computer virus State observer Observational study Online help Mereology Data management Goodness of fit Meeting/Interview Term (mathematics) Forest Condition number Physical system Area Mapping Block (periodic table) Software developer Bit Lattice (order) Cartesian coordinate system Variable (mathematics) Forest Type theory Data management Telecommunication Figurate number Simulation Spacetime
Satellite Point (geometry) Slide rule Service (economics) Theory of relativity Execution unit Usability Vector potential Focus (optics) Usability Order (biology) Computer animation Finitary relation Business model Spacetime Endliche Modelltheorie Physical system Physical system
Ocean current Satellite Point (geometry) Programming paradigm State observer Context awareness Presentation of a group Observational study Multiplication sign Real-time operating system Open set Mereology Computer programming Field (computer science) Number Chain Network topology Operator (mathematics) Business model Spacetime Endliche Modelltheorie Analytic continuation Point cloud Area Predictability Context awareness Shared memory Mathematical analysis Volume (thermodynamics) Maxima and minima Denial-of-service attack Digital signal Instance (computer science) Continuous function Surface of revolution Cartesian coordinate system Open set Vector potential Word Computer animation Chain File archiver Point cloud Website Spacetime
Group action Context awareness Service (economics) Open source State of matter Modal logic Translation (relic) Set (mathematics) Control flow Food energy Emulation Product (business) Number Velocity Authorization Spacetime Data structure Extension (kinesiology) Summierbarkeit Condition number Physical system Rule of inference Service (economics) Dialect Shift operator Programming paradigm Menu (computing) Database Bit Basis <Mathematik> Group action Cartesian coordinate system Mechanism design Computer animation Internet service provider Chain Condition number Object (grammar) Quicksort Spacetime
Ocean current State observer Slide rule Service (economics) Distribution (mathematics) Online help Power (physics) Usability Subset Web 2.0 Physical system Area Service (economics) Distribution (mathematics) View (database) Moment (mathematics) Expert system Sound effect Mass Mereology Offenes Kommunikationssystem Flow separation Open set Web application Process (computing) Computer animation Integrated development environment Personal digital assistant Internet service provider Order (biology) File archiver Point cloud Quicksort Physical system
Slide rule State observer Wechselseitige Information Greatest element Building Observational study State of matter Equaliser (mathematics) Robot Multiplication sign 1 (number) Numbering scheme Power (physics) Energy level Information Office suite Library (computing) Physical system Domain name Area Collaborationism Information View (database) Compass (drafting) Block (periodic table) Software developer Moment (mathematics) Data storage device Basis <Mathematik> Cartesian coordinate system Measurement Flow separation SI-Einheiten Data management Computer animation Software Spacetime
Satellite State observer Slide rule Building Context awareness Service (economics) Observational study State of matter Materialization (paranormal) Raw image format Computer font Perspective (visual) Computer programming Dimensional analysis Product (business) Element (mathematics) Term (mathematics) Different (Kate Ryan album) Software framework Internationalization and localization Summierbarkeit Information security Software developer Computer file Projective plane Horizon Planning Basis <Mathematik> Cartesian coordinate system Entire function Computer animation Software Universe (mathematics) Software framework Energy level Spacetime Wide area network
Raw image format Computer animation Open source Software framework Energy level
Trajectory Computer animation Meeting/Interview
OK we only have some
minutes later but we start a little bit later so very short introduction to Andreas spliced back from the European Community is working at the space units and I think we get a talk about the Copernicus program the fantastic so and it may be you go directly to the level of what the solution would be a little you wouldn't understand compute working this is similar to the political and social it does work with Hellinger morning
up my name is Andreas laissez-faire and I'm out basically responsible for space data particularly on Copernicus the at the you but having listened to the 1st hour and a half around a quarter this 100 firemen right conference because they have the because at least 3 quarters of the acronyms that I've heard during the course of the morning I have no idea what they are and and I certainly wasn't expecting the algorithm generated poetry but nonetheless my talk will be a lot more of identify can serious but I will basically talk about 2 yes it will be yes it will be it will actually talk about how we are trying to be way more from what that down here all you what we can do down here we want to comes from the I don't expect that you will remember everything of what I say but the if there's 1 thing or the only thing that I would like you to remember is the fact that it's my job to basically try to make sure that the data that is generated through Copernicus gets to as many people as many users and delivers as many benefits as possible that's basically the summary of my job all the rest is just is just sort of mice around so the way in which
I will I will go through this system very briefly explain to you where we always Copernicus find no do you do you know what Copernicus is by the way I I I guess how many of you know what Copernicus's this is very encouraging but it has to at least half the of the changing perspective that we see enough observations and in particularly to the use of data because we're very clearly at the equator revolutionary period let's say at at the moment and what we intend to do next and that will all be built around that essentially making the data available and making sure that it's able to deliver as much societal benefit as possible because the sort of the basis of or approaches that are based on taxpayers have spent billions of euros in order to get the satellites into orbit so the data from Copernicus is for me it's a sort of the quintessential public good which means that on the free full and open basis it has to be available to everybody and what has changed with Copernicus I will come back to that
in a 2nd so for those of you who don't couldn't do what Copernicus is old and know exactly exactly how it works this is the basic architecture so the idea is that we have a series of satellites which we call Sentinels for which an animal all that they deliver data on a regular basis and of then now complemented by what we call contributing missions which are essentially Ivan national missions or commercial emissions from which we buy additional data which is not delivered don't all sentinels to complement the 3rd component of the program which is quite often not forgotten being C 2 part so these are all everything from from sensors so sensors on the ground all boys the which complement the space this data with but essentially will within C to read now the idea when the Copernicus program was set up was that on the basis of this data we would have 6 services which would deliver value-added products hopes that we go 1
slide further so these are the 6 services the idea was that we would take the data and we would treated thematically in 6 areas so for land monitoring for climate change for marine monitoring for emergency management for security and for atmosphere 1 that was a basically a way to ensure that in Europe we're able to build up thematic know-how and the thematic capability to explain the data what we have found however is that the services deliver extremely valuable information but they deliver extremely valuable information to people who are experts in the field what they did not do is that they do not make the data that are easily accessible to non-experts selection think this is 1 of the main problems of of observation as a whole that if you've been dealing with this kind of data for 20 years you know exactly what to what to do if you haven't been doing that then it's quite difficult for people to access the data let alone use go back 1 slide to
show you where we all we have the launches of satellites themselves so to really simplify this Copernicus basically a constellation all thought paired satellites which all radar and optical what you can see here is that we have launched 4 of them so no 1 a sentinel to a sentinels create and Sentinel 1 b from the message of this slide is that we would like to have 8 satellites in orbit of which basically makes it 1st the 1st program of its kind in the world by 2020 but what's even more important is that for the development of applications will be it for the building of business on top of that off or whatever other societal purpose the big game changer of Copernicus is the fact that it delivers continue so these are not ad-hoc satellites which go up they have a short lifetime and then something may or may not happen afterward so what they do do what we're able to guarantee is basically a steady delivery of data up to about 20 35 if you're looking to build anything that is a reliable slightly longer term applications and Copernicus for the 1st time provides the basis for that because basically we have secured the satellites and their launchers up to the mid 20 twenty's and we and we based on the assumption that the satellite lifetime is is placed between 7 and 12 years more or less we expect that the data from the satellites will be delivered well into the it well into the 20th 20 30 of Copernicus in way changes things enough observation in 2 ways firstly we have a data policy that's free full and open it has some caveats are in terms of in terms of secure security implications for for instance but let's be honest are they're on new security and implications for satellites which have which have a resolution of 10 meters that is something about which is for the 1st time following I think 1 of following the US the in the in the late 2000 we have actually a system which delivers free full and open data and is willing to and able to deliver that basically for the next 20 years that's so these are the 2 key things that Copernicus has changed the other thing that Copernicus has
changed as a consequence relates more to data exploitation of the big data as a whole when we talk about big data mean identity like the word because it's a word which which basically means everything and everything and nothing but when we're talking about the commercial exploitation of Big Data all the problems that are normally associated with the they relate to who owns the data or the privacy concerns all the security concerns None of these problems really exist with Copernicus because there are no privacy concerns the ownership is clear everybody basically means that because it's a public good available on free full and open basis and there's certainly no security concerns Lybrand that we have confirmed now 1 thing which we did not foresee when was just the amount of interest that this data would generate we thought that we would create a nice program which would monitor the environment monitored monitor security issues and we would have the services and they would help us make the policy what we've seen however is the same slide we file basically the red at which are a bit different what we did not foresee was the enormous demand that we would have for the state I was looking at was actually looking at this as website this morning I understand that you've had 12 thousand products downloaded and the last in the last 24 hours but what we've seen is that apart from the traditional very narrow application areas of of observations we are seeing that basically this this quantity of spatial data is penetrating virtually every area all of our society and our economy and the system which we designed particularly in terms of data distribution was not designed to cope with this demand it was designed to cope with the specific thematic areas and deliver data to the company services not everybody in the world so what we see for instance is that if I come back to the to the company said Amazon's the Google's I think that systematically downloading of downloading every byte of data to the system the now coming to these new needs so I'm going to quote the a study done by the by the remote sensing companies in Europe just to
give you a few examples I mean application areas range from Africa agriculture to insurance to the management of wind farms to do what not but but just to quantify the sent to show that it's actually possible to really deliver also economic benefits the 1 part of the study looked at Finland Newfoundland is an island as it was called it it doesn't look like an island on the map but the fact is that 90 % of all all goods coming into Finland common so they call themselves and island and obviously the Baltic Sea and I know their acquittal because I come from the country just just below Finland which is Estonian but basically the the finished gold and the Baltic Sea have a tendency to have quite heavy ice conditions so the study that was done was basically looking at how much the use of satellite data delivers in terms of all of economic benefits to Finland and the figure that they came to the is 160 million I mean in figure which says it's 116 million or even better 116 . 2 5 6 9 million it's of course this semester it's it's very very wrong but it's basically this example as well as the next 1 which deals
with the forest management and forest management in Sweden which is too but also figure which is for me a little bit too precise is to show that the use for this data goes far beyond the traditional applications so we've met companies were trying to basically trying to help manage wind farms to try to manage offshore oil platforms we had a really truly bizarre meetings with them with a couple of scientists who came to us on the z were saying that saying that your satellites can't consider mosquito but you take certain variables from your satellites you combine those with but with 28 other types of data we can tell you with with a 98 % certainty with the next outbreak of the virus will be not and that's true I don't know if it's true it the dual but the reason I use that example is basically to say that the use of the observation data is really in its infancy and I think that we are going to see a lot more of this in the future because if you look at spaces the whole space basically is composed of 3 main blocks you have telecommunications you have GNSS which is basically satellite navigation you have of observation if you look at the market sizes of these sea of the majority I think about 70 75 % communication about 20 % slightly more is that is genesis of satellite navigation 2 % of the observation but what I think we're seeing with Copernicus and also with significant private initiatives which from going on in this area I mean Google's accused describe what I think is sampled at or below PlanetLab so what we're seeing is that they're all I think 10 to 15 private companies and these are not just Google's will the all the big guys who were trying to essentially put their own satellite systems and all that so I think that we're going to see quite a big development in this in this area not because of what's up there but because of what's down here to to answer
all your questions so I have to do the the compulsory that about about what the Commission is doing about this the main point of this slide is to really just say that we're shifting away from the launching of satellites of which we're doing essentially for delegated entities so the European Space Agency is 1 in units of which is responsible responsible for meteorology is doing the other 1 was basically moving
from the upstream which is a satellite pot really to the downstream and the use of the data so this is everything from data policy to the dissemination and access systems to making sure it's usable and to look at the market uptake in new business models under the skin the unit that I run we also have outreach international relations and various other things but to those I will come back to later as well so the
context in which we all but the context is that we have a free full and open the open data policy which guarantees the continuity with struggling with this share volume of data the whole archive of 4 Copernicus is expected to be about 50 petabytes I think by the year 2020 24 20 25 how we are struggling managing this 1 and to be honest we see that there is potential for a number of new applications to be built on top of of observation data and clearly it's not just of observations of observation data combined with other data of I'm not going to go into the into the rather rather bland blend talk about that is to revolution Cloud dictate you will know this about what we think or assessing the commoditization of the observation data only the data is goes quite why there are a lot of initiatives that are not as open data there's also commercial data but the data itself I think is increasingly becoming a commodity what we're seeing as I'm space X is probably the best of the best example of this but also we see this with Google DigitalGlobe was hit with the programs on we see that there's a number of commercial initiatives and private capital is it's basically coming into this area from we have flexible value chains and the fact that the space data really needs to be taken at sites space it's it's really down and down enough that it has most of its
most of its relative this is something which which is more of a more of a all the speculation on my part but I but I suspect that it may have something to it I mentioned the part on the commodities but really it's the past present future model that for me is the most interesting which is that usually what we do with satellites is that we we use the max posts so there's an earthquake or there is a flood the satellite passes over it it finds out what has happened where the intervention points what needs to be done increasingly the value of the most valuable data is the data which is what we call i've time was a real time so this is the ability to exploit the data between between now and I said that 30 30 30 minutes to 2 hours after it's been quite but the real value of all of this is clearly of course predictive analysis and looking at the future so this is the prediction of agricultural crop yields this is the this is the of looking at current for instance I mean it's another it's another business model which which I think is is being implemented at the which is that what you what you do with ship operators is that you look at the current and you tellership operator that if you want to go from point a to point B in industry but used the currents to take advantage of this disabled field which solicited for both the environment and economic and so where are we in all of this we are we're basically as I mentioned at the start the 1 of which is to bring all of this know-how and the data which is public and open up to the user OK this is where the word
probably gets a little bit more more boring so I'm going to so I'm going to be very short on this this is the space application value chain of so you have the upstream you have an extreme you have downstream and you have to end users so it really simplify this because because we I don't really believe that you can have more than 2 or 3 objectives when doing anything because when you have when you have more you are you're probably not going to end up meeting any of the the 1st objective that we have is to make sure that all user groups are actually able to easily access and use the state I should say that we will do this in a fully open basis actually using the using open source the objective number 2 is to make sure that we have a set of thought service providers be they commercial be they research we don't really care to be honest I just call them translators because to the end user be their public authority be there an energy company BP they be whoever database to makes no sense at all so the 2nd objective is actually the most important 1 and that's where I'm hoping that the people in this room may be able to help us with it actually help make sense all of the data and turn it into something which is a useful product for a service which is comprehensible to the end user is is sort is the skull 2nd objective and we intend to try to try to support that to the extent possible and velocity of course it's the it's the creation of awareness and the creation of the mom's body up by public and private users this is still a public market I think about 65 70 % of the demand for space data basically comes from public authorities the from
the main assumptions that we have also this very very quickly because I see that the coffee break started about 2 minutes arts so the public authorities for have an enabling role to play of that probably is what we see for us also as a paradigm shift where I see the role of public authorities is to be in neighbor you make the data available you helped create the demand you create the conditions where the translator sits in the downstream can use the data for their own purposes the commercial non-commercial and you just have to enable you shouldn't really be doing too many things yourself so this leads to a significant for a much greater necessity for private actors to be there and this being Europe where we have what we we have 28 Member States still where we have a large number of regions where we have a so what we have you met of what we have the Copernicus services all 6 of them and we have the Commission of course we're not going to build any new structures on top of it because the system as a whole is quite structure heavy so what we will try to do is to just basically have a Robert distributed system on
here we are so the estimated archive for Copernicus is by 2024 is is estimated to be about 43 40 44 petabytes we will try to do this in 2 ways so we will try to improve the current data distribution which is basically a web based a web-based download system but what what we're also going to do is to use the critical mass of Copernicus to basically creates several data access services which is which is to put all the data from Copernicus and make it freely and openly available essentially in the cloud environment mean the idea behind this is really not just Copernicus data what we see with Copernicus is that we want to use the critical mass of provides to provide an ecosystem which allows all sorts of other data to Common joint so what we want to do is that is in effect create a system which brings in Copernicus's Data brings in say Landsat data from the US brings in data from our international partners brings in commercial data and allows users to bring in whatever other data they want and put this next to the processing power so that people don't have to download the the rather heavy files that that that of observation intervals so an open system would improve usability and interoperability with other data subset talked about briefly and finally obviously will set up quite a strong technical assistance center in order to provide users with help because at the moment this is really an area which is reserved
for experts now this is the most boring slide of small but it's but nonetheless from where I'm standing or the job that I have to do this is probably the most
important slide of the idea here is that what is the what is the problem with the use of of observation data the 1st problem that we have is the lack of demand it's still a very small market it's delivery public sector market but what's more important that's something which in economic terminology is known as equal opportunity cost which is that if you're involved including or if you're a software developer 1 should be given to observations given the small size of the market and given that there are so many of the other areas where economic gain is is so much easier to so much easier to to make but here what we have are basically this ecosystem that we want to create in in a very not in a very simple but in a schematic way so what you have at the bottom is the data supplied you have the sentinel data from office and you have such you the contributing missions data but most important block is actually what's next and these are the national international and commercial data missions so the whole of the data supplies at the bottom it's a very simple scheme and the and and then you have the user domain at the top and what you have in the middle is an ecosystem to bring the supply and demand together and and that is what the whole concept actually hinges on it's very very very simple is to create an ecosystem with supply meets demand some given that we have an obligation to make the data available of being a public good what you have in the middle on the left is the conventional that service and that we that we will strengthen bot but is essentially that increasing risk management measures what you have in the middle is what I mentioned as being the information and access what we we will do that what will try to do is to basically neutralize the cost that is common to everybody and this is for data storage this for processing power and this is full of for essential for the network costs so what we will try to do is to neutralize several times over the whole back-office related to space data and then we let everybody build on top of that so everybody can build their own front office on top of that and be linked to the different users be they private or be they will be they compassion the idea comes back to this role for enabling so we mutualise the cost that is common to everybody and then we just let people get on with so if people want to sell additional data into the system they can if they want to bring additional data for free they can if they want to devote develop value-added applications they can basically we don't really care what happens because we see all main role as 1 being that enable and secondly we have an obligation to make the effort to make the data available once
again we're not the only ones doing this and domain Porter in this I expect is going to be anchor and the European Space Agency but what you see is that there's a system called you which is basically an international an international system for of observation will share our data from free fall London basis we have several big data initiatives also at the European level we have Member States who are developing their own collaborative ground segments and we wish have that is some ground segment and what they do at the at the space agency the whole idea is that the basically we have a system which is extremely fragmented at the moment so this is the basis on which we will try to to try to build an an interoperable and interoperable and open ecosystems on nearly
done sorry so you can then you can you can go and have the coffee the 2nd pillar is is basically just the support that we provide both for both in terms of legislative security but also in terms of in terms of just basically money to put in crude to give planning security to to use to develop applications on this but with created quite a clear delineation between what is a Copernicus provided public service and what we leave for for private actors downstream because nobody's ever going to invest in any product if they know that the public sector is going to provide it free of charge in the next 6 months or so so we will clearly delineate that we are launching this year a start-up program and the company growth initiative which basically finances ideas finances business development finances incubation finances the growth stage although any companies based on the observation that it doesn't have to be Copernicus because once again from my perspective it makes no difference whether they're products which are 100 % based on Copernicus or whether there is the product of that which is 1 % based on corpus as long as the data is useful will happen similarly for internationalization but there's actually quite a lot of demand for satellite-based data services internationally so we are trying to support or entrepreneurs and companies to more international Horizon 2020 is basically quite significant research program which will all across the entire basis finance financed projects such projects related to the use of observation data the building a wider community you community is actually 1 of the reasons I'm here are but these communities range from everything from raw materials to to basically the marine environment and we will set of something called the Copernicus Academy which is a network all research in universities dealing with for dealing with of observation and building ICT skills which are related to the observations and the idea is the European Institute for Technology who obviously has quite a strong stake in which space in the areas of
application and that I think is the last slide so increasing awareness of end users basic people don't know about this data that's the sad that's the sad truth you mention Copernicus and space data and they will be a very very small percentage of the population and know so we will so we will finance will find something called Copernicus relays they're all very very strong space Hobbes in in Europe and will try to build on those 2 basically we can't do all of this from from Brussels it's very clear so we try to do this in as decentralized away as possible and framework partnership agreements that just means by which we can we can conclude projects building up demand and this is something which we would like to do with member states to make sure that whenever services procured there is an element of satellite data which can be which can be involved in that obviously the payments under the common agricultural policy is is I think probably the best example of take you level in the cross-sectoral dimension I have mentioned now that the on this note I'm going to end and as I said at the beginning I would like you
to really remember remember just 1 thing which is that what we have here is a data assets which is huge and is a data which is free which is full which is open and the way in which will make it available is going to to be open is going to be non-discriminatory and if it is going to be based on open source because what we do not want to do is to take a public good and block it into monopolistic situations to provide that's it thank you very much curiously
other people it's used here this year I hope you get that whole if a lot we can send it later if is 1 of the quality of the trajectories of it what you will OK