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eo science for society

eo science for society



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UPCOMING EVENTS

Sep 02

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SEPTEMBER 2024

 Workshops
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LATEST TWEETS




ESA EXTREMES AND DISASTER SCIENCE CLUSTER

The ESA Extremes and Disaster Science Cluster is launched to promote networking,
collaborative research, and international collaboration in the domain of Earth
Observation for climate extremes and disaster related EO research. It will
involve several ESA-funded projects and activities bringing together different
expertise, data, and resources in a synergistic manner to ensure that the result
may be larger than the sum of its parts.

The Cluster goals include:

 * Advancing the observation capacity and scientific understanding of the
   drivers and processes leading (in terms of precursors, hazards, impacts and
   forecasts) to extremes and high-impact hydroclimatic events, including among
   others wildfires, heatwaves, droughts, floods, and storms.
 * Improving the observations and holistic understanding of connected
   multi-hazards (including compounding and cascading atmospheric, climatic, and
   geo-hazards) and their impacts on our society and ecosystems.
 * Advance our capacity to better prepare and adapt to climate risks and
   geo-hazards.

Addressing these goals will require a significant collaborative effort and an
integrated approach to science where the synergistic use of EO satellite data,
in-situ and citizen observations, advanced modelling and AI capabilities,
interdisciplinary research and new technologies will be essential elements.

To this end, activities under this Cluster will also contribute to the joint
EC-ESA Joint Earth System Science Initiative, where ESA and the European
Commission Directorate General for Research and Innovation (DG-RTD) aim at
jointly advance Earth System Science and its contribution to respond to the
global challenges that society is facing at the onset of this century.

 

List of relevant Earth Observation science projects 

Earth Observation Advanced science Tools for Sea level Extreme Events (EOatSee)
The EOatSEE project aims to enhance the understanding and prediction of Extreme
Sea Level (ESL) events and their coastal hazards through advanced Earth
Observation technology. It focuses on three main scientific domains:
predictability of ESL flooding hazards, understanding the impact of ESL on
long-term coastal evolution, and assessing coastal risk and vulnerability.
Utilizing a blend of high-resolution modeling and empirical approaches, EOatSEE
also includes a pilot program for knowledge transfer to early adopters in
vulnerable areas. The initiative seeks to inform future scientific activities
and support decision-making through improved EO products and modeling tools.
Read more
Earth Observation for high-impact multi-hazards (EO4Multihazards)
EO4MULTIHAZARDS leverages satellite Earth Observation to enhance understanding
of cascading and compounding multi-hazard events, aiming to reveal their
dynamics and assess societal and ecological impacts. The project focuses on
advancing scientific knowledge through four science cases, fostering
collaborations with local and international initiatives, and engaging with a
diverse scientific community. Key efforts include developing practical
evaluation tools, creating an Open Multi-Hazard Events Database, and supporting
early warning systems through stakeholder collaboration. The project’s outcomes
will be disseminated via scientific publications and public materials,
contributing significantly to European multi-hazard research and disaster risk
assessment. Read more
AI-enhanced uncertainty quantification of satellite-derived hydroclimatic
extremes (ExtrAIM)
The project aims to develop a low-latency, uncertainty-aware precipitation
dataset for the Mediterranean. Utilizing statistical learning, Bayesian
modeling, and AI-enhanced data integration, extrAIM will combine multiple
precipitation products to improve understanding and characterization of
hydroclimatic extremes. Key objectives include creating an explainable AI
approach, a probabilistic framework for uncertainty modeling, and a
user-friendly data visualization platform. This platform will aid in risk
communication of extreme events. Read more
DeepExtremes
DEEP EXTREMES focuses on global compound heat and drought events by combining
long-term climate and land-surface data with Earth Observation archives for
multivariate event detection. The project samples large events from the Sentinel
era, zooming into affected and unaffected areas with high-dimensional “mini
cubes,” and trains deep-learning methods for prediction and understanding event
dynamics. Implemented in a cloud environment, the project seeks to refine its
workflow based on community feedback and engage the scientific community through
workshops and discussions. Read more
AI4Drought
AI4DROUGHT aims to predict drought events over the Iberian Peninsula using deep
learning architectures to maximize data extraction from EO-based datasets and
Seasonal Prediction Systems (SPS). By combining Earth observations with SPS
through AI algorithms, the project enhances understanding of drought causes and
effects. The scalable and transferable methodology integrates numerical climate
models with AI to identify multi-hazards and cascading effects. Read more
Medicanes
The project will …
XHEAT
The project will …
AMHEI
The project will …
ARCEME

ARCEME aims to develop a comprehensive framework for assessing multi-hazards
through various angles and scales, integrating EO archives with other
observational data for multivariate event detection. It focuses on analyzing
large events within the Sentinel era, understanding event dynamics, and
evaluating land management resilience against multi-hazards. The project will
share its workflow in a cloud environment, refining it with community feedback,
and actively engage with the community through workshops and discussions to
evolve the framework. Read more



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COMMUNITIES

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 * Public and private users


RESULTS

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 * Publications
 * Scientific Papers
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TOOLS & PLATFORMS

 * Network Of Resources
 * Common Architecture
 * Scientific toolboxes
 * Virtual Labs


OPPORTUNITIES

 * EO training & education
 * Workshops
 * Invitations to Tender
 * NoR Sponsorship


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