mdis workshop 2015

22
MDIS A return of experience with technological innovation for the ESA Geohazards Exploitation Platform Herve Caumont, Fabrice Brito, Emmanuel Mathot Emmanuel Mathot, Technical leader Autrans, France Session Scientific workflow processing / Processing platforms 2015-10-08

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MDIS

A return of experience with technological innovation

for the ESA Geohazards Exploitation Platform

Herve Caumont, Fabrice Brito, Emmanuel Mathot

Emmanuel Mathot, Technical leader

Autrans, FranceSession Scientific workflow processing / Processing

platforms

2015-10-08

Thematic Exploitation Platform

#2

Thematic Exploitation Platform

#3

Platform

Thematic Exploitation Platform

#5

Exploitation

Thematic Exploitation Platform

#7

Thematic

• How to deliver Earth observation data nowadays ?

• How to efficiently help users for data exploitation ?

• How to better promote exploitation results ?

– In particular: EO-based value-added products

• Ground Motion Velocity Maps

• Displacement Time-series, …

Find out directly what you

are looking for!

Interoperate with

Data Providers

Process your data

efficiently on demand

Share your findings

and build up the

community

connected

people

SaaS “Software-as-a-Service”

– Offer your EO processor on the platform as a Service

– With your data selection

PaaS “Platform-as-a-Service”

– Cloud Sandboxes “processor incubation chambers”

– Extension capacity HPC cluster

– Catalogue for EO dataset and time series

– Data Storage for mirroring or caching data

Cloud Platform

Data Agency

Interoperate with

Data Providers

Geohazard Supersites VA4– ERS, ENVISAT, ALOS,

TerraSAR-X, COSMO-SkyMed

Scientific Hub– Sentinel 1, Sentinel 2

USGS– Landsat 8

Schedule User Processing

Select data on a regular basis- Time driven

- Data driven

Manage the processing

Publish Results- New collection on catalogues

- Time series

• Satellite sensors => increasing amounts of data.

• Researchers need more computational science tools and services !

• With GEP, scientists access different data types, relevant to the

same area and phenomena, and directly stage selected inputs to

scalable processing applications that deliver EO-based science

products.

• Concept of operation : improved collaboration

– A user can access large data repositories

– A user can bring its processing tools

– A user can use from his workspace other shared toolboxes.

• Openness: GEP is based on Open Source Software components, on

a Cloud Services architecture, is associating the scientific

community and SMEs in implementing new capabilities.

Experience &

Feedback

What’s next ?

terradue.github.io

twitter.com/terradue

terradue.com

https://geohazards-tep.eo.esa.int

Terradue CEO Fabrice Brito

Product Manager Hervé Caumont

Technical Leader Emmanuel

Mathot