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Many communities still rely on outdated, project-based environmental data, meaning they miss regular updates that reflect changing risks.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 Institut Cartogràfic i Geològic de Catalunya is a public organisation that provides rigorous and quality information about the territory to address the challenges of our society, such as climate change, risk and natural resource management, sustainable development or energy transition. Their duties are related to the competences of geodesy and cartography and about the spatial data infrastructure of Catalonia, and also the competences of promoting and carrying out the actions related to the awareness, survey and information about the soil and subsoil. Their expertise and knowledge facilitate decision making and places them among the leading institutes at an international level in the field of geoinformation. They guarantee the officiality and independence of the (geo)information and services ranging from data capture to the implementation of solutions.

They use space to Observe to Understand. Understand to act.

The challenge 

Spain has seen an increase in occurrence of wildfires in recent years. In addition, close to 65% of the Catalan territory is covered by forestland. Thus, the ability to avoid collapse in the face of extreme fires by identifying, developing and deploying innovative means that promote landscape resilience becomes crucial. To limit the damage of fires on forests and take better preventive measures to avoid them, ICGC carried out thanks to Earth observation assets, innovative developments to evaluate the state of forestland, key metrics on forest morphology, urban-forest interface status, recovery-resilience of forestland covers, to assure socio, economic and ecosystem values of the forestland.

The satellite solution 

The ICGC uses several satellite missions to obtain key forestland metrics to improve preventive measures and analyse recovery from forestland wildfires, mainly Copernicus. Data from Sentinel-1 and Sentinel-2 satellites are used for vegetation monitoring, burnt area mapping and status of pathways and Wildland-Urban Interface key elements for firefighters. The Copernicus Emergency Management Service (CEMS) also provides rapid mapping for fires during the disaster and mapping of the resilience of forestland and its evolution. More information about Earth Observation activities at:

https://www.icgc.cat/en/Thematic-areas/Earth-Observation 

The results

Using the fire risk information provided by the ICGC maps, Catalunya can make decisions to reallocate resources—such as helicopters, fire engines, and firefighting teams—from prevention to active response and forestland management. This enables timely action and helps identify the most effective routes to maximize impact and minimise losses.

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The Danish Meteorological Institute (DMI) is Denmark’s national center for weather, climate, and sea ice monitoring, with strong expertise in polar forecasting. The Nansen Environmental and Remote Sensing Centre (NERSC) is a Norwegian research institute specializing in Arctic and oceanographic studies, particularly the use of remote sensing and modeling for environmental monitoring.

The challenge

Large icebergs off the coast of Greenland represent both an environmental hazard and a navigational challenge. In July–August 2024, a 4 × 2 km tabular iceberg drifted southeast of Greenland before breaking into smaller fragments, many too small to be seen from a ship’s deck. Over a six-week period, the iceberg lingered near tourist shipping routes, becoming a risk hotspot for cruise vessels operating in the area. Real-time tracking and accurate forecasting of its movement and disintegration were critical for ensuring maritime safety and operational planning.

The satellite solution

The DMI, supported by the NERSC, implemented a remote sensing-based monitoring system. The iceberg was continuously tracked using high-resolution satellite data. The OpenBerg drift model simulated iceberg trajectory by integrating:

• Ocean current data from TOPAZ5 (Copernicus Marine Service)
• Wind forcing from ERA5 (Copernicus Climate Change Service)

The integrated output of observational tracking and numerical modelling was visualised via the NARVAL portal, enabling both real-time monitoring and forecast-based risk assessments.

The results

• Enhanced Maritime Safety: real-time tracking and forecasting reduced collision risk for vessels operating near the drifting iceberg.
• Improved Iceberg Forecasting: combining Copernicus Marine and Climate data allowed more accurate drift simulations and structural evolution predictions.
• Support for Cruise and Tourism Industry: monitoring and information sharing enabled better planning and risk mitigation for cruise operations in iceberg-prone zones.
• Operational Collaboration: real-time data exchange between DMI and NERSC ensured informed decision-making and strengthened remote sensing capabilities for future events.

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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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With a multi-ethnic and multi-cultural population of about two million people, the Autonomous Province of Vojvodina occupies the northernmost part of Serbia. Novi Sad, its administrative centre, is the second largest city in the country.

While Novi Sad is heading towards recognition as a regional leader in the IT industry, Vojvodina’s economy mainly relies on agriculture and agribusiness.

The challenge

The Vojvodina Province is particularly affected by the phenomenon of stubble burning, a common practice in cultivated fields in Serbia, which threatens the health and safety of the territory.

In 2019, around 19.000 open fires were recorded in Serbia. 14 people died because of them and 40 were injured. The fires burned low vegetation, but also damaged forests, meadows, orchards, cereals, and vineyards.

To discourage farmers from burning the remains of their crops, the province’s public authorities need precise and reliable information on the location of this practice.

The satellite solution

With the support of the BıoSense Instıtute, UNDP Serbia created a web GIS portal to detect open fıres usıng data from Sentınel-2 satellites.

By comparing two consecutive images, one before the fire occurrence and the other after the fire, an algorithm detects the areas where fires happened and the potentially burned areas. These spots are visualised on an interactive web map that is made openly and freely available to the public: the Portal for Mapping Harvest Residues (www.dim.rs/#/dashboard).

The map was funded by UNDP Serbia through the “Challenge call for innovative solutions to reduce air pollution in Serbia and improve air quality”.

The results

The portal is used by the UNDP, research institutes and local administrations to raise the awareness of people, farmers in the first place, about the threats posed by stubble burning. Moreover, the portal allows the government to detect stubble burning and to undertake evidence-based actions against this practice.

In the Vojvodina Province, the methodology used to develop the portal was tested during three months (from September to November 2020), spotting over 9.000 parcels that were subject to crop residue burning.

On dim.rs, fires are classified according to the dates on which they occurred and cadastral information. The webGIS portal also contains statistics on fire occurrence history that is available for download, and information for citizens on how to report illegal burnings.

Users can know which areas are the most affected by crop residue burning and in which periods of the year. Altogether, this information enables local administrations (such as police forces, firefighters and forest authorities, among others) to be better prepared to the occurrence of stubble burning, to target awareness raising campaigns, to better plan in-situ inspections, and to sustain law enforcement.

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