1. The document discusses the latest features and improvements to Terradue Cloud Platform, a technology platform for processing open Earth observation data. 2. It addresses three challenges in exploiting open EO data: building innovation without owning all assets, seeking partnerships, and exploiting the full scale of the web. 3. The business model focuses on new types of partnerships based on openness, including support for environmental services through projects like MELODIES.

1. Latest features of MELODIES’ underpinning technology pla;orm
Processing of Open Data
using Terradue Cloud Pla;orm
Hervé Caumont
Project Advisory Board Mee2ng
Bologna, October 22nd 2015

2. Point of Contact :
Hervé Caumont, Program Manager
http://www.terradue.com
• Italian SME, created in 2006
– ESA ESRIN spin-off (Rome)
• UK subsidiary, created in 2011
– Space Cluster (Harwell Oxford)
• 11 start-upers
– 5 different EU nationalities
Cloud Services for Earth Sciences

3. Agenda
• A criDcal need to solve
helping Open science to address Societal issues
• Three challenges ahead with the exploita5on of
Earth observa5on Open Data
• Towards sustainable MELODIES services
what we have learnt, and how we improved
• Terradue Cloud Pla;orm’s Business Model
new types of partnerships based on openness

4. A criDcal need to solve
Open Science addressing
environment-related societal issues,
globally

5. Our customers Earth sciences
Climate Change

6. Ocean ecosystem

8. EO data is there

11. …but Earth Science applicaDons
• are s2ll in some early stages.
• Only a few opera2onal processes transferred
to the industry, mostly within niche markets,
• mainly outside of the “Open Web” and its
poten2al to scale them out globally.
• EO datasets remain very technical products,
• with no Web-na2ve process matured enough,
hampering innovaDons that would impact
societal challenges globally.
11

12. The Web as a Pla;orm

13. Data-intensive science is the 4th paradigm
The Internet can do more
“You can be reading a paper by someone and then
go off and look at their original data. You can even
redo their analysis. Or you can be looking at some
data and then go off and find out all the literature
about this data. Such a capability will increase the
‘informaDon velocity’ of the sciences and will
improve the scien2fic produc2vity of researchers”
– Jim Gray, The 4th paradigm, 2009, MicrosoS Research

14. Three challenges ahead
with the exploitaDon of Earth
observaDon Open Data

15. 3 proverbs of Pla;orm operaDons

16. If you can't beat
'em, join 'em
APIs
Build
innova2on
without owning
all assets

17. No man is an
island
Pla;orm
economy
Seek
partnerships
that challenge
your idea
If you can't beat
'em, join 'em
APIs
Build
innova2on
without owning
all assets

18. When in Rome,
do as the
Romans do
Network
effects
Exploit the
Web at its full
scale
If you can't beat
'em, join 'em
APIs
Build
innova2on
without owning
all assets
No man is an
island
Pla;orm
economy
Seek
partnerships
that challenge
your idea

19. Terradue Cloud Pla;orm
Concept of operaDon

20. 20
Virtual Machines for developers
my RPMs !

21. 21
Cloud deployments ready to scale out

22. 22
Cloud Storage on request

23. 23
Data Agency:
a user driven, automated resources selector
Add connector

24. 24
Citable applicaDons & datasets

25. Towards sustainable MELODIES services
What we have learnt
about Open Data
What we have improved
on Terradue Cloud Plaorm

26. We are aiming at
• Rapid prototyping and
benchmarking of algorithms
• Seamless data access whatever
stage of the process
• Automated data processing for
non expert users
26

27. What is costly ?
• Open Data access is s2ll fragile, it does not inherited
yet the resilience of the Web. Linked Open Data is one
step ahead in that direc2on.
• The required knowledge stack for valuing Open Data is
widely spread, and no single organiza2on can afford
the cost to control it all.
• The legal constraints with dissemina2ng informa2on
products based on Open Data are s2ll varied, and are
2me-consuming to understand well.

28. What we’ve learnt about Open Data
• Open Data benefits cannot take up without early
adopter services, growing the plaorm with us
• S2ll need to beYer communicate on the use of
available Cloud services: PaaS, DaaS, SaaS are
suppor2ng the Informa2on-as-a-Service end game
• It’s 2me to spread the word on business models
for plaorm opera2ons : Open Science, e-Gov,
commercial, …

29. Terradue Cloud Pla;orm’s
Business Model
New types of partnerships based on openness
The case of MELODIES Cloud Pla;orm
support for Environmental services

30. ESA BiDS’14 Conference
hdp://dx.doi.org/10.5281/zenodo.12728

32. 32
Hosted CommuniDes
5
Climate Change
Carbon market
Climatology
Oceanography
Ship logis2cs
Land management
Water quality
Deser2fica2on
Biodiversity
Urban accoun2ng
Volcanology
Seismic analysis
Disaster Risk Reduc2on
EC FP7 GEOWOW
(2011-2013)
EC FP7 SenSyF
(2013-2015)
EC FP7 MELODIES
(2014-2016)
ESA Exploita2on Plaorms
(2014 onwards)
8
14
ì
35+
H2020 EcoPoten2al
(2015-2018)
30+
Campaigns
(2013 onwards)

33. 33
The MELODIES unique opportuniDes
for Terradue Cloud Pla;orm
EC FP7 MELODIES
(2014-2016) 14
MELODIES brings collabora2on opportuni2es to
develop and sustain on an EO-data specialized Cloud
Plaorm new Environmental services
MELODIES brings onto Terradue Cloud Plaorm some
unique Linked Data Management Solu2ons & experts
MELODIES allows to beder structure and scale-up the
ac2vi2es of the Opera2ons Support team at Terradue

34. Partners’ key developments on the Pla;orm
• Advanced Hadoop users, gepng ready for large
scale deployments of EO data processing
• Advanced Strabon users, building applica2ons
and benchmarking performances
• Some poten2al powerful use cases for Melodies
Cloud Plaorm to disseminate Linked Open Data
products (we’re studying the integra2on points)
34

35. 35
So, in a nutshell… ;)

36. More solu2ons
Terradue Cloud Plaorm
- Current Flagships -

37. SoluDons
hdps://cloud.terradue.com

38. hdps://geohazards-tep.eo.esa.int/
CommuniDes

39. More solu2ons
Add solu2ons Add Communi2es

41. Stronger SoluDons & Community building ahead !
hYp://melodiesproject.eu
hYp://www.terradue.com
@MelodiesProject
@terradue

42. References
• Terradue Cloud Plaorm – Developer Cloud Sandbox documenta2on
hdp://docs.terradue.com/developer-sandbox
• EC FP7 SenSyF – Sen2nels Synergy Framework
hdp://www.sensyf.eu/
• ESA Geohazards Exploita2on Plaorm
hdps://geohazards-tep.eo.esa.int/
• ESA Big Data From Space Conference 2014
hdp://congrexprojects.com/2014-events/BigDatafromSpace/
• Cantonese proverbs J
hdp://www.dramafever.com/news/81-cantonese-proverbs-explained-in-
one-beau2ful-poster/
42