Founded in 2020, WEO is a company built on the conviction that timely, accurate analytics are essential to tackling major environmental challenges and driving sustainable decision-making. WEO focuses on delivering environmental intelligence that is affordable, frequently updated, and scalable across the globe. Specialised in strengthening urban resilience, optimising vegetation management, and reducing environmental risk, WEO transforms satellite imagery into advanced analytics and leverages AI to produce clear, actionable insights.

The challenge

Many communities still rely on outdated, project-based environmental data, meaning they miss regular updates that reflect changing risks. Accessing current, high-resolution data over large areas is often too expensive or technically difficult.

The satellite solution

Satellite data offers regular, objective, and consistent observations over time. This top-down regional perspective becomes truly actionable when enriched with local datasets and expert knowledge: for example, revealing how vegetation structure shapes fire propagation toward homes or critical infrastructure. Because it provides continuous, unbiased, and often freely accessible information, satellite data is a powerful and inclusive resource for communities. By combining multiple satellite datasets, it delivers a more complete and robust picture of environmental conditions.

However, the spatial resolution of open-source satellite imagery can be too coarse to directly support decisions at the community or asset scale: WEO overcomes this limitation by fusing open-source satellite data with high-resolution local datasets, enhancing its precision and generating detailed, actionable insights at the scale communities need. WEO also enables community participation, integrating local knowledge and documenting measures taken on the ground to ensure that insights reflect real-world conditions.

The results

WEO’s solution empowers communities to understand and anticipate climate-related risks, enabling them to plan with greater confidence and immediately explore suitable mitigation options when threats are identified.

For example, WEO helps communities manage climate risks by identifying heat retention patterns, seasonal hot spots, and the effectiveness of mitigation measures; assessing vegetation for wildfire prevention and guiding land management; and detecting flood-prone areas to plan protective infrastructure. It also supports up-to-date risk documentation, clear communication with residents, and planning of evacuation zones integrating multiple risk factors.

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GeoCodis Ltd. is a high-tech Slovenian company specialising in Artificial Intelligence (AI), Earth Observation (EO), and Geo-information Systems (GIS). The company, established in 2014, has headquarters in Slovenia with branch offices in Canary Islands, Spain, and Uganda. The team of EO-specialists and software developers has developed tailored AI models that enable efficient analysis of large datasets, providing clients with a competitive edge. In the field of Earth Observation, GeoCodis has played a key role in numerous projects that transform satellite data into applicable solutions. Whether addressing water resource monitoring, urban development, or land use management the company leverages raw geospatial data to support critical decision-making processes across various domains. GeoCodis already collaborated with major organisations such as the European Space Agency (ESA), the EU the German Corporation for International Cooperation (GIZ) and others commercial clients.

The challenge

Droughts are becoming more frequent and severe, with widespread impacts on agriculture, water supply and ecosystem health. Yet, governments and agencies struggle to track the impact and effectiveness of drought management policies in real time. Without accurate and timely insights, decisions often remain reactive rather than proactive. In many places, persistent dry spells and soil-water deficits undermine both agriculture and water security: over the past few decades, Slovenia has experienced at least seven major agricultural droughts, many of which caused hundreds of millions of euros in damage.

The satellite solution

To address this challenge, GeoCodis, through the DriDanube consortium and in line with the Clim4Cast project, developed the DroughtWatch portal. It provides users with spatial and temporal view of several drought-related datasets and indices, including vegetation and drought indices, precipitation and temperature datasets and integrates estimated drought impacts, using satellite data and analytical tools.

The platform brings together information from several sources developed within Clim4Cast project and EUMETSAT products. Indices such as heat index, daily evapotranspiration, soil drought intensity, soil moisture deficit, thermal climate index and others shows both current conditions and long-term trends in an easy-to-use interface. Users can explore how drought is developing, compare today’s situation with historic data and quickly see where risks are growing, helping them make faster and more informed decisions. The portal is mostly used to assess droughts, heat waves and potential forest fire conditions and supports proactive planning across sectors.

The results

Using DroughtWatch, government agencies and civil protection organisations benefit from earlier detection of emerging drought hotspots, better coordination, and more strategic planning. The tool has improved situational awareness, reduced reliance on fragmented data, and enabled more efficient resource allocation. As a result, Slovenian Environmental Agency (ARSO) is using the portal mainly to monitor droughts and report on possible developing droughts in SE Europe region due to its role as host of Drought management centre for SE Europe. The portal allows visual and numerical comparison of various drought-related indices as well as generation of timeline animations. It currently profits from ARSO and other regional institutions’ involvement in recent projects such as Clim4Cast and Eumetsat’s LSA SAF. DroughtWatch is designed in the way that inclusion of new sets of data layers is relatively straight forward and expected as regional cooperation evolves and requires new information.

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WASDI is a joint venture of FadeOut Software and LIST based in Luxembourg that provides a cloud-based platform for accessing, processing, and analysing Earth observation data. Their mission is to democratise the use of satellite information by enabling users — from experts to non-specialists — to easily transform raw data into actionable insights. By integrating advanced cloud computing, artificial intelligence, and geospatial technologies, WASDI supports applications related to environmental monitoring, disaster management, land and water resource assessment, and sustainable development. Their platform offers a collaborative environment where users can process data, develop and share applications, and deliver services without needing complex infrastructure.  

Luxembourg Red Cross 

The Luxembourg Red Cross is a humanitarian organisation dedicated to protecting and supporting people affected by crises, both in Luxembourg and internationally. Through its Humanitarian Aid unit, it provides rapid emergency assistance in situations of conflict, natural disasters, and population displacement, delivering essential services such as shelter, water and sanitation, medical support, and protection. Beyond immediate relief, the organisation strengthens community resilience through long-term recovery and development programmes. 

The challenge

The growing frequency and severity of disasters demands fast and informed responses. Yet, many crisis-affected areas remain hard to access and difficult to monitor. Limited observation in remote regions and the complexity of assessing natural hazards can delay critical decisions and intervention when time matters most. Humanitarian teams in the fields — often without satellite-data expertise — need simple, effective and friendly tools that turn data into clear, actionable information. 

At the same time, recurrent emergencies, lack of budget and challenging logistics continue to strain operational capacity. These realities have pushed the International Department of the Luxembourg Red Cross to invest in innovation, research and strategic partnerships.  

The satellite solution

To address this challenge, the Luxembourg Red Cross, WASDI and LIST developed a platform through the WFP Humanitarian Innovation Accelerator (HIA) programme: RISE (Remote Imaging Support for Emergencies). This user-friendly tool was designed for non-experts and directly meets field needs focusing on flood and damage assessment, giving access to clear, usable information and supporting rapid decision-making. 

By selecting an area on the map, users receive the latest available EO data, automatically processed into clear, ready-to-use hazard maps. It also leverages satellite image archives from multiple sources, enabling robust risk evaluation and comparison over time, as well as revisiting old hazards. Thanks to EO satellites, RISE displays near-real-time intelligence on floods, droughts and other risks, enabling faster and better informed decisions. 

Fully automated and accessible worldwide, RISE is a complementary tool that allows humanitarian teams to assess events, understand impacts and support more people.  

The results

Red Cross Madagascar have conducted a validation exercise that demonstrated that using RISE led to an 84.6% reduction in response time and an 89.97% decrease in operational costs compared to standard methods. For the Luxembourg Red Cross, the platform reduced reliance on in-person data collection, enabled faster coordination, saved budget, decrease the number of people put at risk in the exercise, and proved intuitive and adaptable to real-world field conditions. RISE serves as a complement to field expertise, helping responders carry out their work more effectively.  

Key to this impact is clear communication between users and service providers and an intuitive interface that makes complex geospatial data immediately usable for operational decision-making. 

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+ATLANTIC is a Collaborative Laboratory that transforms scientific knowledge into practical solutions for ocean, coastal, climate, and environmental challenges. By combining Earth observation, data science, AI, and numerical modelling, it delivers user-oriented products that support governance, innovation, and public awareness, all with the mission to drive a sustainable transition across the Atlantic region. 

The challenge

Mediterranean cities face multiple climate risks, from heatwaves to sea level rise and storms, all amplified by coastal urbanisation, tourism pressure, ageing populations, and migration trends. These vulnerabilities affect health (heat-related mortality and pollution-linked illness), energy (changing demand and reduced hydropower during droughts), and infrastructure (damage from unpredictable floods and storms driven by growing climate variability). 

The satellite solution

Earth Observation provides essential data to anticipate and manage climate-related risks in Mediterranean cities, particularly heat extremes and sea level rise. By analysing satellite-derived information on land use, vegetation, and built-up areas, EO helps detect and quantify the Urban Heat Island effect, where heat accumulates in densely built environments. Long-term geospatial datasets feed into data-driven models that improve local weather forecasts and enable the creation of early warning and adaptation tools. These EO-based systems are strengthened by in-situ measurements and computing power, with many initiatives supported through European public funding. 

The results

The integration of EO data into local planning enhances cities’ awareness and preparedness for climate-induced extremes. Beyond heatwaves, the approach supports a broader understanding of interconnected hazards and their impacts on health, infrastructure, and energy. Through +ATLANTIC’s multi-hazard platform AtlanticSENSE, decision-makers and citizens can now benchmark local risk profiles, access transparent and traceable information, and strengthen their literacy on environmental and climate risks, fostering more resilient and informed urban communities. 

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Universitas Brawijaya (UB) , established in 1962, is located in the city of Malang, in the province of Jawa Timur, Indonesia. The Marine Science Study Program focuses on four main areas, namely coastal and marine resource conservation, oceanography, exploration, and biotechnology.

The challenge

Marine research in Indonesia faces several challenges, particularly the high cost and logistical difficulties associated with obtaining in-situ data and specialized analytical instruments. The vast and diverse marine environments of the Indonesian archipelago require significant resources for field campaigns and data acquisition, which can limit the scope and continuity of research and educational activities.

The satellite solution

To overcome these barriers, the UB integrates satellite-based ocean data from the Copernicus Marine Service into its marine research and education programs. The freely available datasets offer a practical and cost-effective alternative to extensive fieldwork, enabling both researchers and students to access consistent, reliable information to analyze environmental parameters (in particular nutrient levels) relevant to the assessment of the Indian Ocean.

By using the reliable, open-access products of the Copernicus Marine Service, Universitas Brawijaya has increased its capacity to study and teach about the health of the oceans. Students learn to explore and monitor key indicators of ecosystem change, contributing to national and regional awareness of the challenges facing the ocean environment.

The results

• Accessible learning resources: Students can actively engage with real-world oceanographic data, enhancing their analytical skills and understanding of marine systems.
• Cost-effective research: Researchers can carry out studies continuously without interruptions due to funding or lack of access to instrumentation.
• Capacity building: The initiative helps build local expertise in marine science and remote sensing technologies.

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THETIDA, a Horizon Europe project focused on cultural heritage and climate resilience, is developing the CIRIS tool to assess and monitor coastal flood risk in Arctic regions. Coordinated by the National Technical University of Athens (NTUA), the initiative brings together international partners to safeguard vulnerable heritage sites from the growing impacts of climate change.

The challenge

The Arctic is one of the world’s most rapidly changing regions. Accelerated sea level rise and land subsidence increase the risk of coastal flooding, threatening both fragile ecosystems and historically significant sites. In places like Svalbard, these challenges are compounded by sparse observational data and limited ground-based infrastructure. Sites such as the Hiorthhamn Coal Cableway Station—a key remnant of Arctic industrial history—are especially vulnerable, yet lack tailored tools for flood risk evaluation that consider both environmental and cultural contexts.

The satellite solution

To address this gap, NTUA developed CIRIS (Coastal Inundation Risk tool), which integrates Copernicus Earth Observation data with hydrographic models. Sentinel-1 InSAR data is used to measure ground deformation, while sea level rise trends are sourced from the Copernicus Marine Service. Together, these datasets enable CIRIS to produce dynamic, high-resolution flood risk maps that account for both vertical land movement and ocean dynamics. Unlike traditional models, CIRIS offers a more localized and accurate view of flood hazards in Arctic zones, and is designed to be open-source and easily adapted to new sites.

The results

• CIRIS has been deployed at the Hiorthhamn Coal Cableway Station in Svalbard to assess future flood risks
• Delivers improved risk assessments by combining land subsidence and sea level rise
• Supports cultural heritage managers, researchers, and local authorities with actionable data for climate adaptation

Designed for scalability, CIRIS is freely available on GitHub, enabling its use in other high-risk coastal regions globally

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The Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS) is leading efforts to improve oil spill risk management in the Adriatic Sea. Through the NAMIRS (2022–2024) and ASAP (2024–2027) projects, OGS and its partners aim to strengthen transnational coordination and environmental protection across six Adriatic countries.

The challenge

The Adriatic Sea is a semi-enclosed and heavily trafficked basin, making it particularly vulnerable to accidental marine pollution from oil spills. A spill in one area can quickly spread and affect multiple countries’ waters and coasts. However, existing national contingency plans are often limited in scope, lack harmonization, and do not sufficiently address the transboundary nature of such risks. There is a pressing need for a regional, coordinated approach that combines prevention, preparedness, and rapid response capabilities among Adriatic countries.

The satellite solution

To estimate the potential exposure of sensitive areas to oil in case of a spill, the NAMIRS and ASAP projects relied on oil drift simulations. These were produced using a model nested within the Copernicus Marine Service physical ocean model of the Mediterranean Sea. This downscaling approach allows higher-resolution forecasting of ocean currents in the Adriatic, increasing the precision of oil dispersion scenarios. By integrating CMEMS data with regional modeling, the projects were able to simulate likely trajectories of oil spills under different weather and ocean conditions, improving both prevention planning and emergency response readiness.

The results

• Risk maps identifying high-priority areas for protection based on maritime traffic patterns, simulations, and expert input
• Resource mapping of the North Adriatic’s anti-pollution capacities (equipment, stakeholders, services)
• Training sessions in Trieste, Rijeka, and Koper to strengthen national response teams’ capacity, particularly for shoreline cleanup and operational coordination
• Updated Standard Operating Procedures (SOPs) to streamline cross-border response
• Under ASAP, these methods and tools will now be adapted and extended to the entire Adriatic basin, fostering region-wide cooperation and preparedness

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The Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA) and the National Institute of Oceanography and Applied Geophysics (OGS) play a key role in Italy’s marine environmental monitoring. As part of the implementation of the Marine Strategy Framework Directive (MSFD), they rely on Earth observation to improve the national evaluation of Good Environmental Status (GES).

The Challenge

The Marine Strategy Framework Directive (MSFD) was established to protect marine ecosystems and the biodiversity on which human health and marine-based economic and social activities depend. Among the 11 descriptors defined by the directive, Descriptor 5 (D5) focuses on eutrophication—the excessive enrichment of water with nutrients such as nitrogen and phosphorus, leading to algal blooms, oxygen depletion, and ecosystem imbalance. Monitoring eutrophication is essential to evaluate Good Environmental Status (GES) and ensure long-term ecosystem health, particularly in areas such as the Mediterranean Sea, where anthropogenic pressures are high and spatial coverage of in situ measurements is often limited.

The satellite solution

For the 2016–2021 MSFD implementation period, ISPRA and OGS used Copernicus Marine Service (CMEMS) physical and biogeochemical reanalysis data, applying bias correction with national in situ monitoring data to refine model accuracy in coastal zones. Key parameters such as chlorophyll-a, dissolved inorganic nitrogen, phosphate, and oxygen were analysed. Satellite data complemented in situ measurements and allowed broader coverage, including waters beyond 12 nautical miles. Future integration of ARGO float data will further enhance offshore monitoring.

The results

• National GES assessment for Descriptor 5 supported by CMEMS reanalysis data, with improved resolution in coastal areas through in situ integration.
• Extension of eutrophication monitoring to offshore waters thanks to planned use of ARGO float observations.
• Availability of consistent datasets beyond 12 nautical miles, covering Italy’s Exclusive Economic Zone.
• Improved scientific understanding of eutrophication dynamics, with evidence of declining trends in specific regions such as the Adriatic.
• Contribution to national compliance with the MSFD and Water Framework Directive (WFD), and support to ecosystem restoration and sustainable marine management.

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Polar View is an international organisation specialising in satellite-based monitoring of the polar regions and global marine environments. With extensive expertise in delivering operational services, Polar View supports users in addressing environmental and climate-related challenges through Earth observation.

The challenge

Climate change calls for a fundamental transformation of our economies and societies. The global push toward a low-carbon, circular, and nature-positive economy—known as the Green Transition—must be supported by reliable data and decision-support tools, especially in vulnerable regions such as the Arctic and North Atlantic. The challenge lies in helping public and private actors plan and operate in ways that are both economically viable and environmentally sustainable, across sectors including maritime transport, renewable energy, and aquaculture.

The satellite solution

The Cerulean Information Factory (CIF), led by Polar View and funded by ESA, co-develops user-driven services that draw on satellite data, particularly from the Copernicus Marine Service, to support decision-making in three key sectors:

• Shipping: A route optimisation tool combining ocean and ice data with IMO CII metrics to improve safety and reduce emissions.
• Offshore renewables: A toolkit using historical and seasonal ocean data to assess site suitability and operational risk for wind, wave, and tidal energy.
• Aquaculture: A service integrating Copernicus and meteorological data to support site selection and risk monitoring, including water quality indicators.

The results

CIF delivers operational geospatial services that make satellite data accessible and actionable for end users. Key outcomes include:

• Minimizing carbon emissions from ships while maintaining safe and economical operations in and around sea ice.
• Assessing the suitability of sites for offshore renewable energy installations to balance the potential for energy production with the risks associated with hazards such as structural icing and extreme weather conditions.
• Assessment of the suitability of sites for aquaculture facilities to balance the potential for bio-productivity with the risks associated with sea ice and harmful algal blooms.

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Founded in 1984, the University of the Aegean aims to promote regional development and to introduce new approaches in higher education in Greece and worldwide. Member of the European Universities Association (EUA), member of the EMUNI Senate and partner in many academics and research networks, the University of the Aegean has become a dynamic and competitive institution at national and international level and a strong social and economic stakeholder in the region.

The challenge

Fish stock monitoring is an integral part of fisheries research and management. It is vital for assessing the state of the ecosystem, and if there are changes to the suitable habitat of the species.

Traditional methods of small pelagic fish monitoring is done through catch assessment onboard fishing vessels, fishing logbooks, and echo surveys. All these methods are time-consuming and require a lot of resources, either financial or manpower.

The satellite solution

The University of the Aegean developed remote sensing models using Copernicus Sentinel-3 data (OLCI and SLSTR sensors) to monitor environmental conditions such as chlorophyll-a and sea surface temperature. These variables act as proxies for identifying suitable habitats and feeding grounds for small pelagic fish.

The results

The project led to the development of an operational workflow that produces:

• Spatial distribution models (1 km) for both anchovy and sardine populations, enabling precise mapping of potential habitats.
• Daily presence/absence prediction maps, where each pixel represents the likelihood of observing a given species at that location, based on the most recent satellite data.
• A pilot geospatial service, offering an interactive platform for fisheries managers to explore and access updated habitat information.
• Ancillary products, such as thermal front maps, which highlight biologically productive zones where different water masses meet—often hotspots for fish activity.

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