The document discusses the Terradue cloud platform, which aims to enhance the exploitation of earth observation data through collaboration among various stakeholders including data providers and researchers. It outlines the platform's features, including rapid prototyping, scalable resource management, and access to diverse data sources, while emphasizing the importance of a community-oriented approach for innovation and sustainability. Additionally, it highlights ongoing and future projects under the umbrella of the European Space Agency initiatives and provides a call for expertise in earth observation applications.

1. Pedro Gonçalves
Rolling out
Terradue Cloud Platform
ISRSE-37, Tshwane, South Africa 8-12 May 2017

2. What does a Platform mean nowadays?
▪ A lever of Web and Cloud technologies
▪ A business model for value co-creation
▪ A framework to bring innovation to new or
larger communities
Platform

3. ▪ A workplace to support the exploitation of
Earth Observations by value adding partners
▪ A laboratory to develop algorithms and deploy
compute-intensive campaigns
▪ A full suite of enablers to support capacity
building efforts
▪ A set of community-oriented knowledge bases
Earth Observation Platform

4. ▪ EO data is a unique source of global
measurements over decades
▪ When calibrated and combined with other sources, it
empowers validation & interpolation models
▪ Collaboration process: a feedback
loop of providers & consumers
▪ More providers of pre-processed data layers
▪ New demands for structured information
The growth model is pulled by the communities
Earth Observation Platform
Producers
Consumers

5. ▪ Integration layers:
▪ Connecting scientists to the Web and Cloud resources
empowering their research
▪ Tailored for Earth Sciences data integration & analysis
▪ Partnership mindset for interplay
between Data Providers, Developers,
Integrators and Producers
▪ Dedicated entry points for different types of partners
Earth Observation PlatformD
evelopers
Producers
D
ata
Providers
Integrators

6. • Terradue started as an
ESA spin-off in 2006
• A common vision
co-funded by ESA &
EC projects
• Evolutions validation
via user engagement
• Network effects
carrying business
opportunities
From where we come
2009-2014
2015-Forward
ESA G-POD
G-POD Cloud
Experiment
GEO Supersites
Virtual Archive
EO Thematic
Platforms
GENESI-DR/DEC
GEOWOW
MELODIES
H2020 Projects
2006-2008

7. ▪ Ellip is the new Terradue Cloud Platform
▪ A Workplace with APIs fostering partnerships
with Providers, Developers, Integrators and
Information Producers for:
▪ Rapid prototyping and benchmarking
▪ Seamless data access whatever stage of the process
▪ Automated data processing
▪ Scalable resource management
▪ Information conveyance
Mission

8. • Data Agency
Data Discovery and
Access Via Standard
Protocols
• Cloud Controller
Cloud Deployments
Ready to Scale Out to
several Cloud providers
ICT and Data Resources
Distributed
Data Sources
VA4 (ESA / GEO)
SciHub (ESA)
CSCDA (EC / ESA)
PEPS (CNES)
ASF (NASA)
Google Cloud
Amazon Cloud
…

9. • An infrastructure ready
to manage configurations
& automate provisioning
• A DevOps process with
proven software
development practices
for code versioning,
automated testing and
continuous delivery
Infrastructure as Code
Where the
Application
code lives
Defines and
automates the
Application
build phases
Triggers and
controls the
Application
builds and
deploys the
outputs
Where the
Application
package(s)
are stored
Maven Jenkins ArtifactoryGithub

10. • Apps integration
• C/C++, Java, Python
• Matlab and IDL
• Lifecycle management
using RPMs and GitHub
• Apps directly integrated on
Community Portals and
accessed through API
Integrator Frontends

11. • Evaluating service
metrics and controlling
usage expectations and
performance trends.
• Yield trends useful to
detected problems and
provide guidance.
Platform & Service Metrics

12. • Business model for
sustainability of hosted
processing operations
• Public funding, commercial
revenues, and costs-sharing
• Cloud providers
• Processors developers
• Applications Integrators
• Scientific users
Subscription Plans
EXPLORER
SUBSCRIPTION
PLAN
Low cost
App. development
For
Data science users
SCALER
SUBSCRIPTION
PLAN
Low cost
Cluster processing
For
Producer users
PREMIUM
PARTNER
SUBSCRIPTION PLAN
Higher cost
Innovation
& platform evolutions
For
Integrator users
4 Partner Programs
◆ Technology Alliance
◆ Virtual Archive
◆ Data Science
◆ Cloud Appliance

13. Hosted Communities
↗
H2020 ECOPOTENTIAL
(2015-2018)
↗
H2020 EVER-EST
(2015-2018)
↗
H2020 Co-ReSyF
(2016-2018)
↗
H2020 Copernicus App Lab
(2016-2018)
↗
H2020 NextGEOSS
(2016-2020)
↗
H2020 INTAROS
(2016-2021)
ESA Exploitation Platforms
(2014 onwards)
35+
EC FP7 MELODIES
(2014-2016)
14
EC FP7 SenSyF
(2013-2015)
8
EC FP7 GEOWOW
(2011-2013)
5
Processing Campaigns
(2013-onwards)
30+
▪ Climate Change
▪ Carbon market
▪ Oceanography
▪ Climatology
▪ Biodiversity
▪ Volcanology
▪ Ship logistics
▪ Water quality
▪ Desertification
▪ Seismic analysis
▪ Urban accounting
▪ Land management
▪ Disaster Risk Reduction

14. Hosted Communities
↗
H2020 ECOPOTENTIAL
(2015-2018)
↗
H2020 EVER-EST
(2015-2018)
↗
H2020 Co-ReSyF
(2016-2018)
↗
H2020 Copernicus App Lab
(2016-2018)
↗
H2020 NextGEOSS
(2016-2020)
↗
H2020 INTAROS
(2016-2021)
ESA Exploitation Platforms
(2014 onwards)
35+
EC FP7 MELODIES
(2014-2016)
14
EC FP7 SenSyF
(2013-2015)
8
EC FP7 GEOWOW
(2011-2013)
5
Processing Campaigns
(2013-onwards)
30+
▪ Climate Change
▪ Carbon market
▪ Oceanography
▪ Climatology
▪ Biodiversity
▪ Volcanology
▪ Ship logistics
▪ Water quality
▪ Desertification
▪ Seismic analysis
▪ Urban accounting
▪ Land management
▪ Disaster Risk Reduction

15. • DLR’s InSAR processing chain
automated for all S-1 pairs
over world tectonic areas
• Amplitude, Coherence &
interferograms for all 6- and
12-day pairs. About 100 / day
browse images at 100m
Systematic Processing
Examples of DEM corrected inteferograms
Coherence (R) and
Amplitude (G, B)
over la Réunion
Collection of
coherence &
amplitude
composites over
Europe

16. • High-Resolution Change
Monitoring of Volcanoes
& Corinth Rift
Laboratory (EPOS Near
Fault Obs.)
• Processing with the DLR
High-Resolution InSAR
(50m-25m) of S-1 pairs
Systematic Processing

17. • Flood extent service:
Detected by SAR to a
reference mask with a
regular water content
scenario.
• Flood risk Service:
Affectation in the sensitive
areas present
• Statistics
Frequency maps, floodable
area and time series.
Systematic Processing

18. • Sentinel-2 data staging
for specific locations
• Deploying atmospheric
correction code from
GitHub to production
• Results registered via
Zenodo to create a DOI
(citation record)
Systematic Data Staging

19. ▪ Last message : we’re hiring!
▪ Join our team in Rome La Città Eterna
15 members, 5 EU nationalities
▪ We are looking for experts in EO
applications and cloud technologies
▪ Exciting new challenges rolling out Ellip
for Earth Science
That’s it !

20. Contact us !
pedro@terradue.com