Earth Observation Data to build a value chain from science ... · on Big Data ICT1, Budapest, 31 March 2015. It works using GEO, which had been validated using the GEO Supersites

1

Earth Observation Data to build a value chain from science to

businessWolfgang Lengert (ESA)

HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March 2015

ESA Unclassified - For Official Use

Presenter

Presentation Notes

EO is relevant in nearly all areas.

The Helix Nebula Initiative

Strategic Plan

Establish multi-tenant, multi-provider cloud infrastructure

Identify and adopt policies for trust, security and privacy

Create governance structure

Define funding schemes

To support the computing

capacity needs for the ATLAS experiment

Setting up a new service to simplify analysis of large genomes, for a

deeper insight into evolution and biodiversity

To create an Earth Observation

platform, focusing on earthquake and volcano research

To improve the speed and quality

of research for finding surrogate biomarkers based on brain images

Adopters

Suppliers

Additional Users:


2

http://www.awst.at/en/index.html

http://www.awst.at/en/index.html

Supersites Exploitation Platform: Infrastructure concept for science use

Universities Research CentersSMEs

networks

M. Lengert, ESA3HEPTech Academia Meets Industry on Big Data ICT1, Budapest,31 March 2015

Presenter

Presentation Notes

It works using GEO, which had been validated using the GEO Supersites. The need for HN was written in the GEO workplan. EPOS is willing to use HN => integration of Space & in-situ. And EC has has a very successful collaboration action ensuring seamless data access throughout R&D infrastructure COOPEUS (http://www.coopeus.eu) covering also Supersite issues. EO Science users will use the Supersites as their first option for data: Storing Querying Processing Analysis because that's where they find all the data, tools and peers. Goals: 1. building a global network of Geohazard Natural Laboratories: (space & in-situ) 2. Developing an e-infrastructure for solid earth data 3. Data analysis on the cloud Strategy to achieve objective: Improved monitoring E-infrastructure virtually connecting data providers and users Open access to all relevant data sets according to GEO data sharing principles Stakeholders: in-situ data owner (agencies, or institutes) Space Agencies, Global science community

HN derived business model:Information as a Service: Science interfacing with private sector

Helix Nebula Ecosystem

Customer

Customer

Customer

€

€

€

€

• Lower upfront investment

• Fast access to EO and other geodata resources

• Disruptive technology • Risk and profit

sharing

Satellite data(ESA/Copernicus)

Data

Content Provider

(Research)

GEO-IT & AppProvider (SME)

Tools

Service Provider (Industry)

Computing & IT

Customer

Information

• Sustainability W. Lengert, ESA4


How to establish the ecosystem?

1. Starting with several classical demand – supplier approach (one-to-one relationship with a defined value chain) validating the HN business model

2. Elaborating, based on the classical contractual value chains, a common market place. Participants are agreeing mutually on a (i) common architecture, (ii) contributing with bits & pieces they consider essential to be adopted by their partners and performing a gap analysis

W. Lengert, ESA5HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March 2015

Building the Value Chain

W. Lengert, ESA6

Value Chain 1

ATOSwith IPR from CNR/IREA (Italian R&D)


ESA Virtual Archive 4

ESA UNCLASSIED - For Offical Use 09/05/2012

Rome: Integration of SBAS-InSAR resultsand digital catalogues of buildings

Mea

n ve

loci

ty [c

m/y

r]

> 0.5

<-0.5

8

SBAS-InSAR results


Rome: Integration of SBAS-InSAR resultsand digital catalogues of buildings


19952000200520100.00%

0.05%

0.10%

0.15%

1 2 3 4 5 6 7 8 9 10

N

VS

S

εmax

columns year

Damaged joint

Rome: large scale damage assessment ofbuildings


Information Store

INFOaaSx Service 1o Service 2o Service 3

Service 1 is: 3vGeomatics Displacement Map

11 W. Lengert, ESA11HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March 2015

Presenter

Presentation Notes

HNX Process – ESA INFOaaS - Process Flow User invokes CloudEO store Selects an INFOaaS application [3vGeomatics] Selects the Data set to use (e.g. Ireland west coast) Selects a Cloud Provider Store calls Blue Box API (not currently available) Blue Box builds/starts the 3vGeomatics VM on the chosen provider using the Library image of 3vGeomatics’s software VM starts and receives the context data VM processes the data request using local and remote data VM returns the results to CloudEO Store User

Value Chain 2

T-System with IPR from VISTA (SME)

12

InfoaaS stimulus example:Provision of Hydropower InformationFacing the renewable energy challenge


European Facts

• Hydroelectric power is the most efficient and planablerenewable energy source

• Around 16 % of Europe’s electricity comes from hydroelectric power

• Annual turnover in the EU in 2011: more than € 137 billion

• Hydroelectric power production is highest in the Northern and Alpine countries

• Optimizing the design and management of the energy grid as challenge

InfoaaS stimulus example:Provision of Hydropower InformationFacing the renewable energy challenge


13

RUNOFF

Snow Cover

SnowWaterEquivalent

RUNOFF

InputDataPortalOPTICAL

Satellite Data

InputDataPortalSAR

Satellite Data

InputDataPortal

OPTICALSatellite Data

VISTA HydroSense

HYDROPOWER


14

RUNOFF

VISTA HydroSense

InputDataPortalSAR

Satellite Data

InputDataPortal

SARSatellite Data


Satellite Data

Snow Cover

SnowWaterEquivalent

RUNOFF

HYDROPOWER


15

RUNOFF

Snow CoverSnowCover

VISTA HydroSense


Satellite Data

InputDataPortalSAR

Satellite Data

SnowWaterEquivalent

RUNOFF

HYDROPOWER


16

RUNOFF

SnowWaterEquivalent

SnowWaterEquivalent

VISTA HydroSense


Satellite Data

Snow Cover

InputDataPortalSAR

Satellite Data

RUNOFF

HYDROPOWER


17

RUNOFFRUNOFFRUNOFF

VISTA HydroSense


Satellite Data

Snow Cover

SnowWaterEquivalent

InputDataPortalSAR

Satellite Data

HYDROPOWER


18

RUNOFF

HYDROPOWERHYDROPOWER StoragePower Plant

River RunoffPower Plant


Satellite Data

VISTA HydroSense

Snow Cover

SnowWaterEquivalent

RUNOFF

InputDataPortalSAR

Satellite Data


InfoaaS Overall Model

Satellite and other Data

Data storageincluding meta data

Data retrieval and analysis

Data into Information service

Service deliveryincluding SLA

Customer uses the information

INFO aaS

Service Provider

A

B

C

D

E

Challenge:Contracting and liability throughout the value chain

M. Lengert, ESA20HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March 2015

Presenter

Presentation Notes

Challenge: HNI is looking at it, some aspects are also addressed in the Stimulus. All exist as 1 to 1 relationship but now as a dynamic system

InfoaaS will be successful only if:

The partners are:– supporting the structural characteristics of the market

– sharing IPRs and tools ensuring creation of a homogenous marketplace (e.g. accounting, invoicing, payments, …), beyond the contractual commitments

– Recognize R&D community as their innovation engine, pushing new IPRs on the marketplace to be used (commercialized) by private sector (recognition in terms of € and/or support for R&D environment)

Cloud Workshop for Life Sciences, EBI, March 2015 W. Lengert, ESA21

Presenter

Presentation Notes

many small buyers and sellers buyers and sellers have equal access to information products are comparable Do you agree on this? If not let discuss and find alternatives that allow the concept to work. We today define the rules and the we need a firm commitment that we are all going to play according to these rules. This GA is to bring things forward and take decisions.

Conclusion

The Helix Nebula ecosystem provides a multi-tenant ‘Open Market Place for Science’, where data providers, scientists, funding bodies, SMEs and downstream industry can meet to work along common interests.

The ESA approach is to use HN for a seamless integration of science output into a business environment, ensuring a constant innovation push coming from the earth science domain.

W. Lengert, ESA22

BACKUP slide


Now in 2015 "Helix Nebula - The science cloud" Initiative has created a pan-European ecosystem providing following globally unique assets via the R&D / Industry set-up:– Overarching architecture => one that fits all large scale R&D agencies

building on national R&D, Industry and SMEs– Business model => Information as a Service (InfoaaS), tailored to HNI,

allowing a seamless integration of science into the private sector– Governance => signed by most European Intergovernmental R&D

agencies, EC R&D bodies, large scale industry and SMEs (lots of them EO related). This governance is giving strong emphasis on innovation, hence always having the Chairmanship with the R&D demand side.

– Public procurement => is being addressed via an EC PCP action (PICSE) under the lead of CERN.


Marketplace

Value for € orrecognition

Demand

Supplier

Demand

Supplier

Demand

Supplier

Demand

Supplier

€

€

€

€

€

€

€

€

€

€

€

€

€

€

€

€

€ €

€

€

€

€

€

€

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€

Dynamic value chain creation using “InfoaaS” Stimulus filling up the shop

Marketplace

Demand

Supplier

Demand

Supplier

Demand

Supplier

Demand

Supplier

DaaSbrokers

IaaSbrokers

EO business &

InfoaaSbrokers

PaaSbrokers


People slillsbrokers SaaS

Broker

Marketplace

Demand

Supplier

Demand

Supplier

Demand

Supplier

Demand

Supplier


DaaSbrokers

IaaSbrokers

PaaSbrokers

SaaSBroker

EO business &

InfoaaSbrokers

People slillsbrokers

Documents

Earth Observation Data to build a value chain from science ... · on Big Data ICT1, Budapest, 31 March 2015. It works using GEO, which had been validated using the GEO Supersites