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Many communities still rely on outdated, project-based environmental data, meaning they miss regular updates that reflect changing risks.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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SOS Alarm is Sweden’s national emergency services operator, responsible for handling all 112 calls, coordinating police, fire, ambulance and public warnings across the country, as well as playing a role in civil defense. They hold a central role in national crisis preparedness, using situational analyses, extensive information flows and advanced technology to manage alarms and coordinate Sweden’s aid efforts during accidents, crises and societal disruptions. Their work aims to strengthen the Swedish safety chain while driving rapid incident response, crisis communication and safety innovation. They have an interest in space-related technologies to enhance both response times and nationwide public safety.

The challenge

The two most important information for SOS Alarm are what happened and where. Before 2019, the callers were located through Cell-ID from mobile operators, which had significant limitations: depending on density, the coverage area varied between 500 meters up to 2 kilometers, making precise positioning difficult. This slowed response times for 112 callers in accidents, incidents or when locating lost persons. In addition, Sweden’s vast rural, mountainous, and coastal regions often lacked mobile coverage, creating further challenges for situational awareness and rapid response. There was also no reliable redundancy in case of network outages, limiting the ability to communicate with people during emergencies.

The satellite solution

In 2019, SOS Alarm implemented Advanced Mobile Location (AML), which uses smartphones’ global navigation satellite system, Wi-Fi, and cell network data to provide precise caller locations. Its accuracy, within 15 to 65 meters, allows emergency services to locate incidents in real time, even without detailed information from the caller. This is particularly effective in road traffic accidents and outdoor emergencies.

Building on this, SOS Alarm will implement satellite-based communication for mobile phones in 2026, enabling text-based emergency messaging even when terrestrial networks fail due to power outages or network issues. This approach provides redundancy in remote areas and ensures that first responders and alert centers remain connected under extreme conditions.

The results

AML is used in approximately 82% of mobile calls where someone needs assistance. With the integration of AML and satellite-assisted communication, 112 callers can now be precisely located, reducing search areas from kilometers to just meters, and significantly improving response times. It also lowers caller stress, as they no longer need to describe their location, resulting in clearer communication and fewer errors during emergencies. This accuracy is especially valuable in remote areas, where it enables faster and more targeted emergency response.

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Earthpulse is a space-enabled risk intelligence platform that helps governments and institutions understand, anticipate and reduce the impacts of natural hazards. By combining satellite Earth Observation with local data, advanced modelling and on-the-ground knowledge, Earthpulse transforms fragmented information into clear, actionable insights for prevention, preparedness and resilience planning. 

The challenge

In the Dominican Republic, extreme events are becoming more frequent and severe, driven by recurrent Atlantic storms, steep terrain and highly variable rainfall. Yet despite decades of emergencies, the national understanding of flood and landslide risk remained fragmented, with no comprehensive flood history, incomplete landslide records, limited high-resolution rainfall data and scattered local datasets. This lack of a clear risk baseline has kept prevention largely reactive, making it difficult for authorities to anticipate where impacts will occur and to plan effective long-term resilience strategies.

The satellite solution

Earthpulse uses Earth Observation to provide governments with continuous, objective and country-wide visibility of risk, including during extreme weather and in hard-to-access areas. Radar satellites can see through clouds, which is critical during storms, while EO data allow authorities to reconstruct past events, monitor current conditions and anticipate future hazards by tracking changes in water, soil moisture, vegetation and terrain stability. When combined with local rainfall measurements, terrain models and socioeconomic data, this approach delivers a more complete and reliable picture of risk, reducing uncertainty and supporting better-targeted prevention efforts. 

In the Dominican Republic, this solution transformed fragmented and incomplete information into a coherent national risk baseline. Satellite data were used to build the country’s first flood and landslide inventories, develop risk maps for critical infrastructure, and model where future events are most likely to occur, including under climate change scenarios—laying the groundwork for an EO-enabled Early Warning System. 

The work was commissioned by the World Bank under ESA’s GDA Fast EO Co-Financing Facility, ensuring alignment with national priorities and coordination across institutions. ESA provided the Earth Observation framework, tools and data access, while International Financing Institutions such as the World Bank helped bridge EO innovation and national resilience planning. The solution was developed in two phases: first, rebuilding the missing baseline, and second, translating insights into operational, scalable risk tools the government can expand over time. 

The results

• Faster prevention: Authorities now see where risks concentrate before disasters hit.  

• Better planning: Infrastructure, housing, and emergency budgets can be prioritised transparently.  

• A living framework: Every new satellite image or rainfall event strengthens the national risk model.  

• Supports early warning: The foundation is now in place for alerts rooted in evidence, not guesswork.  

• Scalable region-wide: The same approach works for other Caribbean nations with similar pressures.  

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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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The Maltese Planning Authority is the national government agency responsible for land use and spatial planning in Malta. It also serves as the country’s national mapping authority, providing essential cartographic data to support the development permit system and ensure that urban development aligns with planning regulations.

The challenge

For over a decade, the Planning Authority relied on aerial photography to produce maps of the Maltese Islands. However, with rapid and constant urban development — new constructions, extensions, and land-use changes — there was an increasing need to update maps more frequently and monitor change across the entire country.
Aerial imagery, while detailed, posed several obstacles: it required special flight permits, favourable weather conditions, and costly equipment. Drone surveys offered flexibility but covered only urban areas, making them impractical for nationwide mapping. The Planning Authority therefore sought a simpler, faster, and more scalable solution that could provide regular, high-resolution imagery over Malta as a whole.

The satellite solution

To meet these needs, the Planning Authority adopted high-resolution commercial satellite imagery: satellite data provides synoptic coverage — capturing the entire island in a single snapshot — and can be acquired regularly (one to two times per week), with access to a rich archive of past images. This allows them to select cloud-free images for specific time periods and conduct change detection analyses, supporting urban planning policies such as modification of development zones. Although commercial imagery involves a cost, it remains more affordable than aerial photography and offers greater temporal flexibility. Transitioning to satellite-based mapping required a mindset shift and specialised training for the Planning Authority’s geomatics team, enabling staff to interpret and integrate satellite data effectively into existing workflows.

The results

The use of satellite imagery has significantly improved the efficiency and accuracy of urban monitoring in Malta. The Planning Authority now produces value-added datasets, including national land-use maps, derived from satellite analyses. The Authority is also exploring the use of AI-based tools for automatic building detection, further enhancing its capacity to track and analyse urban change. By embracing satellite technology, they have strengthened their ability to plan sustainably, leveraging both current and archived imagery to maintain an up-to-date view of the country’s evolving landscape — a model that could inspire other national mapping agencies across Europe.

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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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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

Polar regions face extreme environmental conditions—sub-zero temperatures, winter darkness, and dangerous sea ice and icebergs—that make navigation perilous. The scarcity of in-situ sensors across vast and remote polar areas leads to critical data gaps, increasing the risks of maritime incidents. Regulatory frameworks such as the IMO Polar Code demand improved ice information, but data fragmentation and jurisdictional boundaries limit coordination and access to reliable forecasts.

The satellite solution

The DESIDE project, funded by the European Space Agency (ESA) and led by Polar View and the Danish Meteorological Institute (DMI) uses DESP/DestinE system capabilities to generate enhanced polar data services. By integrating RCM ARD data (Analysis Ready Data from the RADARSAT Constellation Mission), Sentinel satellites, and other polar datasets, the project provides comprehensive, multi-jurisdictional sea ice products. Key tools include a Sea Ice Chart Data Cube for planning and AI training, a method to track ice movement between satellite images, and tailored delivery via platforms such as IcySea, Polar Dashboard, and Polar TEP. These solutions support ship operators, analysts, and researchers alike.

The results

• Improved sea ice tracking and forecasting to support safety, planning, and emergency response.
• Greater operational safety for vessels navigating polar waters through more reliable and accessible ice data.
• Reduced emissions via optimized ship routing and voyage planning.
• Protection of environmentally sensitive areas through more accurate forecasts and policy support.
• Enhanced access to polar data for scientific research and AI-based analysis.

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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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