EXPLAINABLE AI PIPELINES FOR BIG COPERNICUS DATA

Objective

DeepCube leverages advances in the fields of AI and semantic web to unlock the potential of big Copernicus data. DeepCube is impact driven; our objective is to address new and ambitious problems that imply high environmental and societal impact, enhance our understanding of Earth’s processes, correlated with Climate Change, and feasibly generate high business value.
To achieve this we bring mature and new ICT technologies, such as the Earth System Data Cube, the Semantic Cube, the Hopsworks platform for distributed DL, and a state-of-the-art visualisation tool tailored for linked Copernicus data, and integrate them to deliver an open and interoperable platform that can be deployed in several cloud infrastructures and HPC, including DIAS environments.
We then use these tools to develop novel DL pipelines to extract value from big Copernicus data. We implement a shift in the use of AI pipelines. DeepCube 1) develops novel DL architectures that extend to non-conventional data and problems settings, such as interferometric SAR, social network data, and industrial data, 2) introduces a novel hybrid modeling paradigm for data-driven AI models that respect physical laws, and 3) opens-up the DL black box through Explainable AI and Causality. We showcase these in five Use Cases (UC), two business, two on earth system sciences, and one for humanitarian aid. These are:
UC1: Forecasting localized extreme drought and heat impacts in Africa,
UC2: Climate induced migration in Africa,
UC3: Fire hazard short-term forecasting in the Mediterranean,
UC4a: Automatic volcanic deformation detection and alerting and UC4b: Deformation trend change detection on PSI time-series for critical infrastructure monitoring,
UC5: Copernicus services for sustainable and environmentally-friendly tourism.

Field of science

• /social sciences/economics and business
• /natural sciences/computer and information sciences/internet/semantic web

Programme(s)

• H2020-EU.2.1.6.3. - Enabling exploitation of space data

Topic(s)

• DT-SPACE-25-EO-2020 - Big data technologies and Artificial Intelligence for Copernicus

Call for proposal

H2020-SPACE-2020
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

ETHNIKO ASTEROSKOPEIO ATHINON

Address

Lofos Nymfon
11810 Athina
Greece

Activity type

Research Organisations

EU contribution

€ 627 750

Participants (8)

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany

EU contribution

€ 748 793,75

Address

Hofgartenstrasse 8
80539 Muenchen

Activity type

Research Organisations

UNIVERSITAT DE VALENCIA

Spain

EU contribution

€ 428 125

Address

Avenida Blasco Ibanez 13
46010 Valencia

Activity type

Higher or Secondary Education Establishments

LOGICAL CLOCKS AB

Sweden

EU contribution

€ 407 250

Address

Hagerstensvagen 239 C
129 35 Hagersten

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON

Greece

EU contribution

€ 291 562,50

Address

6 Christou Lada Str
10561 Athina

Activity type

Higher or Secondary Education Establishments

GAEL SYSTEMS

France

EU contribution

€ 353 125

Address

25 Rue Alfred Nobel Parc Descartes
77420 Champs-sur-marne

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

TRE ALTAMIRA SRL

Italy

EU contribution

€ 411 250

Address

Ripa Di Porta Ticinese 79
20143 Milano

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

INFALIA PRIVATE COMPANY

Greece

EU contribution

€ 237 500

Address

Vepe Tehnopoli 2Nd Floor
55535 Pilaia

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

MURMURATION

France

EU contribution

€ 494 331,25

Address

12 Avenue De L Europe
31520 Ramonville Saint Agne

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)