Stitched mapping during prescribed burn When a large wildfire is moving, the first problem is not just knowing that it exists. It is knowing where it is, how fast it is changing, and what the ground teams should do next. CHRIS is built to create a live 2D overview of a large incident while the drone is still flying. It stitches incoming imagery into a geo-referenced map in real time, giving commanders and ground teams a faster way to understand the size, shape, and movement of a fire as it develops. For large wildfires, that speed matters. A map that arrives too late is not much help. A map that updates while the incident is still unfolding can change how teams coordinate, how they deploy resources, and how they communicate across the line. Why CHRIS' Speed Matters Wildfires change quickly. Fire edges move, wind shifts, access routes close, and a situation that looked stable minutes ago can already be different. CHRIS helps teams turn drone imagery into an operational map fast, reducing dependence on radio reports, rough estimates, and slow manual interpretation. What Teams Often Use Today In many places, incident mapping still depends on a mix of manual and fragmented workflows. That can mean: hand-drawn sketches on paper or on a board field observations relayed by radio someone tracing fire edges manually separate photo streams that need to be interpreted later live video being used to communicate a location or a changing fire edge in a very local way In some countries and incidents, teams use live feed to show where one part of the fire is, which helps with communication. That can be useful, but it still leaves the larger question unanswered: how do you quickly turn those observations into a shared operational map for the whole incident? That is the gap CHRIS is meant to close. What CHRIS Does Differently CHRIS prescribed burn fire-line and stitched mapping CHRIS takes drone imagery and stitches it into a real-time 2D map, so the incident can be understood as a larger, connected shape rather than a series of disconnected images. That gives teams a few important advantages: a faster overview of the whole incident area a clearer view of the fire perimeter and how it is changing a shared map that supports coordination between command and ground teams less reliance on slow manual drawing and interpretation a more consistent picture when decisions have to happen quickly The value is not just that CHRIS makes a map. It is that it makes the map fast enough to matter. Real-Time Stitching For A Larger Area Delta history and stitched mapping CHRIS As the drone flies, CHRIS processes images and builds a geo-referenced overview of the area. Teams do not have to wait until after the flight to understand what was seen. That is especially useful for large incidents, where the main challenge is understanding the full fire front, not just one hotspot. Infrared and Night Operations CHRIS also works with infrared imagery, helping teams maintain situational awareness after dark when visibility drops and the incident is still active. Delta Views: What Has Changed Since The Last Update CHRIS can compare the current map with the previous one to show what has changed since the last update. That makes it easier to see fire growth, perimeter movement, and shifting conditions. For command teams, that means a faster answer to a simple question: what changed since the last update? Better Coordination On The Ground CHRIS gives command and ground teams the same live picture, which improves communication, helps crews focus on the right areas, and supports faster repositioning of resources. The Bigger Picture Large wildfires are rarely managed through one single tactic. They are managed through a chain of decisions, updates, and coordination across the incident. The faster the team can build a shared picture of the fire, the better those decisions become. CHRIS is designed to make that picture available sooner. It stitches large-area maps in real time, supports infrared mapping at night, shows delta changes between updates, and helps ground and command teams work from the same incident view instead of separate fragments. That is the real value. Not just mapping the fire. Mapping it fast enough to change the response.

Historic burning occurrence in Portugal from 2001-2025 For the first time, landowners and municipalities in Portugal can see how this season’s wildfire conditions differ from the long-term picture. This is thanks to MEJOR’s LUCI technology, which mapped the risk parish by parish across all 3,049 mainland parishes. A wetter-than-usual winter and an early warm spring have left roughly one in three mainland parishes with elevated vegetation and fuel signals for 2026, rising to two in three in the popular tourist region of the Algarve. MEJOR Technologies built the 2026 Wildfire Susceptibility Map for LandOS using LUCI satellite technology. LandOS then analysed the data to determine its real-world implications and used its A Minha Terra platform to share those findings with landowners and the public. That combination of MEJOR’s never-before-seen mapping with LandOS’s analytical read and activation produced something genuinely new: insight practical enough to guide landowners and compelling enough to earn national attention. Thirty-five articles across national newspapers, specialist forestry outlets, regional media and English-language publications attracted nearly 500,000 estimated views. A Current View of Portugal’s Landscape The 2026 Wildfire Susceptibility Map covers all 3,049 parishes in mainland Portugal at a resolution of 10 by 10 metres. MEJOR Technologies developed the map for LandOS using LUCI to combine recent satellite observations with information about land cover, vegetation condition, terrain, human presence and recent fire history. LandOS analysed the resulting dataset and made the findings accessible through its A Minha Terra platform. The result is a seasonal layer that complements the official structural hazard map published by Portugal’s Institute for Nature Conservation and Forests (ICNF). The distinction matters. Structural mapping shows the enduring geography of wildfire hazard over the long term, while the seasonal map reveals where vegetation and fuel conditions in 2026 differ from that established pattern. Together, they provide a more complete and current view of the landscape, helping landowners and municipalities focus prevention efforts where they matter most. This approach was introduced nationally by Público and Observador, before being carried by news organisations across the country. The Findings That Resonated The coverage highlighted how an unusually wet winter and an early warm spring encouraged vegetation growth in areas where seasonal conditions now appear more concerning than the long-term structural picture alone would suggest. Around one in three mainland parishes shows elevated vegetation and fuel signals for the 2026 season. In the interior Algarve, that rises to two in three parishes. Jornal de Notícias brought this regional finding to a national audience, while Voz do Campo explored the wider data story. Regional reporting made the national map locally meaningful. Tribuna Alentejo focused on heightened vigilance in the Alentejo, while Diário do Alentejo highlighted Odemira, Mértola and Ourique. The map also tells a more nuanced story than a simple nationwide increase. In parts of Portugal’s central interior, including areas around Pampilhosa da Serra, Arganil and Covilhã, seasonal susceptibility is lower than the structural reference. Fires in 2025 consumed much of the available vegetation, and regeneration has not yet fully recovered. These areas remain structurally exposed over the long term, but their immediate fuel conditions are different in 2026. That contrast is precisely why current Earth observation can be so valuable: it helps distinguish the persistent geography of wildfire hazard from the conditions present this season. Turning Information Into Practical Steps Media interest extended beyond the map itself. A second strand of coverage focused on the free A Minha Terra land-clearing checklist, which translates technical information into practical recommendations for individual properties. Landowners can enter a property’s location and receive suggested vegetation-management actions adapted to factors such as the parcel, slope, nearby buildings and seasonal conditions. The process takes less than five minutes and is designed to help people move from awareness to action. Notícias de Coimbra examined the role of artificial intelligence in helping rural landowners prevent fires. Specialist forestry platform Florestas went further into how the platform connects official structural information, recent satellite data and practical vegetation management. A National Conversation With a Local Purpose The story appeared at every level of the Portuguese media landscape. We are grateful to the journalists and publications that brought this work to readers across Portugal. The breadth of the coverage reflects a shared need for wildfire information that is timely, local, understandable and connected to practical action. Satellite intelligence can reveal where this season differs from the long-term pattern. A well-designed platform can turn that insight into guidance for a particular piece of land. But the outcome that matters is what happens next: a landowner who knows where to focus, a municipality with a clearer view of changing conditions, and more prevention work completed before a fire begins. See what the 2026 season looks like where you live, work or manage land. Explore the interactive Wildfire Susceptibility Map, search your area and turn a national picture into insight you can act on locally.

CHRIS showcasing polygons during an active burn Europe’s heatwaves are becoming more intense, and wildfire seasons are becoming more demanding. That is not just a snapshot of what is happening right now. It is a wider reminder that wildfire response teams need to be ready before the next major incident begins. Preparation, coordination, and clear information matter even more when conditions are changing fast. For firefighters, first responders, and emergency operations teams, the challenge is often the same: how do you stay aligned when every minute counts and the situation on the ground can shift quickly? Fire Agencies Need Every Possible Advantage Wildfire response is getting harder. When temperatures rise and conditions dry out, the pressure on response teams increases. Fires can spread faster, decisions need to be made sooner, and communication becomes even more important. In those moments, teams do not need more complexity. They need a clearer picture of what is happening, where it is happening, and how the response is evolving. That is why real-time insight matters. Knowing exactly where fires are, how they are progressing, and which areas are at risk is critical for operational planning, and for the timely evacuation of both emergency personnel and surrounding communities. The better prepared teams are before a critical incident, the more confidently they can act when the pressure is high. Why Preparation Needs to Happen now It is easy to think about readiness only when a fire is already active. But by then, time is limited. The best time to test tools, build familiarity, and strengthen workflows is before they are urgently needed. That gives teams the chance to understand how a system fits into their operations and build confidence ahead of a real incident. For wildfire response teams, that kind of preparation is not a luxury. It is part of being ready. How CHRIS Can Help CHRIS highlighting polygons and delta history That is why MEJOR developed CHRIS together with fire agencies across Europe. CHRIS gives incident teams the situational awareness they need to make faster, better-informed decisions during wildfire operations. More specifically, CHRIS can help teams: Understand where fires are and how they are progressing Spot which areas may be at risk Improve situational awareness during active incidents Support operational planning and decision-making Strengthen coordination between teams Help emergency personnel and surrounding communities stay safer through faster action It is designed to support teams when conditions are changing quickly and decisions need to be made in real time. Try it for yourself As we continue rolling out CHRIS, we want to support agencies facing this period of heightened risk. We are therefore making CHRIS free to use for one month, so teams can benefit from it immediately. Fire agencies can reach out to us, get onboarded within 30 minutes, and start testing the system with their team. It is a simple way to explore how CHRIS supports situational awareness, coordination, and faster decision-making before the next critical moment arrives, when every minute counts. Let’s give the people on the front line the insights they need to operate, and return home, safely. Click here to try the CHRIS demo now.

At MEJOR Technologies, we believe emergency response works best when information moves quickly, clearly, and with confidence. That’s why we’re excited to share our new partnership with DroneControl. This is a collaboration built to strengthen incident monitoring, accelerate response coordination, and improve outcomes for teams operating in high-stakes environments. Why This Partnership Matters Emergency and incident-response teams are under constant pressure to make fast, accurate decisions. In the moments that matter most, fragmented data and delayed visibility can slow operations and create unnecessary risk. By partnering with DroneControl, we’re combining complementary capabilities to help organizations: Gain faster, clearer situational awareness from the field Improve coordination across teams and command structures Reduce delays between incident detection and action Support safer, better-informed operational decisions This partnership aligns directly with MEJOR’s mission: delivering practical, high-impact technology solutions that help organizations respond with speed, precision, and resilience. DroneControl: Real-Time Drone Operations and Remote Situational Awareness DroneControl has established itself as a leading platform for drone operations management, live streaming, fleet management, compliance, and remote operational coordination. Used by public safety organisations, emergency responders, and enterprise operators globally. DroneControl dashboard Designed for Real-World Operations At MEJOR, we know that technology has to perform in real-world conditions, not just in theory. This partnership is rooted in practical outcomes for organizations that need dependable tools under pressure. Whether supporting emergency services, critical infrastructure, public safety, or enterprise incident response, MEJOR and DroneControl are committed to delivering solutions that improve clarity, speed, and confidence where it counts most. DroneControl enables teams to: Manage drone fleets and pilot operations centrally Stream live drone video securely in real time Coordinate remote operations and command workflows Deliver situational awareness to distributed stakeholders Support mission-critical emergency response activities Integrate drone intelligence into operational decision-making The DroneControl ecosystem enables emergency services to rapidly deploy drones and instantly share aerial intelligence with command centres, operational teams, and external stakeholders. MEJOR Technologies: Real-time Dynamic Sensor Mapping MEJOR Technologies specialises in advanced environmental monitoring and real-time 2D dynamic sensor mapping solutions. Wildfire tracking with CHRIS CHRIS provides powerful capabilities for: Real-time 2D RGB and thermal sensor mapping Automated hotspot detection Fire spread tracking Incident boundary visualisation Large-scale operational mapping Incident reporting and operational intelligence dashboards MEJOR’s technology can generate real-time incident maps as quickly as drone operations can capture the area, while visualising thermal hotspots, perimeter changes, and wind conditions. The platform is designed to support operational teams managing wildfires, flooding, industrial incidents, and natural disasters where rapid, shared situational awareness is critical. A Unified Technology Ecosystem for Emergency Response At MEJOR Technologies, we see this partnership with DroneControl as a major step toward a more connected and operationally effective emergency-response environment. By integrating DroneControl’s live drone operations platform with MEJOR’s CHRIS real-time mapping capabilities, emergency teams can access a shared live operating picture during fast-moving incidents. The result is a stronger, single source of truth for teams coordinating in the field and in command centers. What this integrated approach can enable Potential joint workflows include: Live drone video feeds and telemetry displayed directly in CHRIS dashboards Real-time aerial thermal hotspot identification 2D wildfire and incident overview maps generated from live drone data Flood intelligence, infrastructure status mapping, and field-team position awareness Shared multi-agency dashboards for coordinated operations Remote command and coordination between control rooms and frontline teams Wind-aware incident monitoring and operational reporting workflows Faster reporting cycles and improved post-incident review Together, this creates a connected response environment where aerial insight, mapping intelligence, environmental monitoring, and cross-team coordination all support one common operational picture. Enabling the Next Era of Disaster Response As climate-driven events and large-scale disasters continue to rise worldwide, emergency organizations are being asked to respond faster, coordinate better, and make higher-quality operational decisions under pressure. At MEJOR, we believe the future of emergency response depends on connected, real-time intelligence platforms that transform field data into clear, actionable insights for decision-makers. The partnership will initially focus on pilot projects, demonstrations, and customer deployments across key sectors, including: Fire and rescue services Public safety agencies Forestry and environmental authorities Government resilience and emergency management organizations Infrastructure and utility operators Disaster response organizations Looking Ahead This is just the beginning. We’re energized by what this partnership makes possible and look forward to delivering meaningful value for teams responsible for protecting people, assets, and operations. We’re proud to partner with DroneControl and excited about the impact we can create together. For more information about the partnership, please contact DroneControl or MEJOR Technologies directly.

CHRIS Stitching Together a Clearer Picture of Wildfires When battling wildfires, time and clarity are everything. CHRIS is a wildfire response support solution that transforms raw drone footage into actionable intelligence, in near real-time. By stitching together images from drones in near real-time, CHRIS generates a high-resolution, bird’s-eye view of active wildfire zones. The resulting map includes precise fire boundaries, GPS-located hotspots, and a clear spatial context, all crucial for emergency teams on the ground. The video above showcases CHRIS in action, illustrating how scattered visuals from multiple images are transformed into a coherent operational map. This enhanced situational awareness allows first responders to plan evacuations, allocate resources, and fight the fire more effectively. Whether it's day or night, wide-scale or fast-spreading, CHRIS provides emergency crews with the clarity they need—right when they need it. Are you ready to get a better overview of wildfires? Learn more about CHRIS now. Problem: Getting a Meaningful Wildfire Overview As technology evolves, so does the toolkit of modern fire departments. Drones are now a common sight in wildfire response, offering quick aerial views of affected areas. However, a single drone feed, even when live, is often hard to interpret. Take a moment to watch the first video above. You’ll notice that trying to locate a fire based on a vague reference like “the third tree to the left” just isn’t practical. Drone footage alone, while visually informative, lacks geospatial clarity and a sense of scale.

A Minha Terra - 2026 Susceptibility layer Wildfire risk is dynamic. It changes with the seasons, with vegetation growth, with recent fires, and with shifts in land use and weather conditions. To support more timely and actionable wildfire preparedness, we are excited to share our collaboration with LandOS on Portugal’s new 2026 wildfire susceptibility map. The map is now live at 10-metre resolution across all 3,049 mainland parishes, providing landowners, land managers, municipalities, and decision-makers with a detailed view of where wildfire susceptibility may be elevated this season. From Structural Risk to Seasonal Susceptibility Long-term wildfire risk maps are essential for understanding the structural characteristics of a landscape. Factors such as terrain, land cover, vegetation type, and historical fire patterns help identify areas that are generally more prone to wildfire over time. However, wildfire susceptibility also changes from year to year. A historically high-risk area may currently have reduced fuel availability after a recent fire. At the same time, another area may become more susceptible following strong vegetation growth, increased biomass, or changing land-cover conditions. This is where a seasonal view becomes valuable. For this project, we implemented LUCI to translate satellite and landscape data into a seasonal wildfire susceptibility layer. LUCI combines signals such as vegetation condition, fuel load, terrain context, land-cover change, and recent burn history to help identify where current landscape conditions differ from long-term structural risk. Turning Satellite and Landscape Data into Actionable Insight The goal of this work is not simply to produce another map. It is to make complex geospatial intelligence more useful on the ground. By integrating satellite-derived indicators with landscape modelling, LUCI helps provide a more current understanding of wildfire susceptibility. This supports more targeted prevention efforts, better local awareness, and more informed decision-making for those responsible for managing land and reducing wildfire risk. It shows the value of geospatial intelligence that is not only technically sound, but immediately useful in practice. Collaboration with LandOS This project reflects the strength of combining advanced geospatial analysis with accessible digital tools. LandOS is making wildfire susceptibility information available through a live platform designed for landowners and decision-makers, helping bridge the gap between technical data and practical land management. We are proud to have contributed to this collaboration and to support LandOS in making wildfire intelligence more timely, local, and actionable. A big thank you to the LandOS team and to everyone involved in bringing this work to life. We look forward to future developments.

Mayor of Amersfoort pressing the button to officially release the beta version of CHRIS. CHRIS beta is now live! On May 20, 2026, the Mayor of Amersfoort visited the MEJOR Technologies office to mark the official launch of the new CHRIS beta. We are opening this beta to first responders and operational teams who work in fast-moving environments and want a clearer view of what is happening on the ground. The beta will run during May and June 2026, and it is available at no cost. The beta is designed for real-world use in fast-moving environments where teams need a clearer view of what is happening on the ground. CHRIS brings live 2D overview maps, fire perimeter polygons, and improved situational awareness while the drone is still flying. What the new CHRIS release adds CHRIS builds a live 2D incident overview while the drone is flying. Stitching images together in a geo-referenced overview. The updated CHRIS release helps teams build a better operational picture in the field by making it easier to: Create 2D overview maps in real time while flying Detect fire and draw polygons around affected areas Distinguish fire, vehicles, and people more clearly Track changing conditions as an incident develops CHRIS works with DJI Mavic, Matrice, or higher-class DJI drones that can be connected quickly in the field. Built for fast-changing situations CHRIS is especially useful in situations where speed and clarity matter most. That includes wildfire tracking, industrial fires, flooding, earthquakes, and other incidents that can change rapidly. By creating a live 2D overview during flight, CHRIS helps teams share a common picture of the situation sooner. Fire fronts, affected areas, and important objects can be identified more easily, which supports better coordination in the field and with incident command. Fire detection while flying Fire detection in CHRIS overlays polygons and labels on the live map, interpreting the affected area while the drone is still flying. One of the most valuable parts of the beta is fire detection during flight. CHRIS uses drone IR sensors to detect visible fire patterns and overlay polygons and labels that help teams understand the affected area more quickly. It also includes delta history, so users can compare how the incident changes between photos and see spread over time. Perimeter polygons and incident spread Delta history shows how the incident changes between flights, tracking spread and comparing conditions over time. Perimeter overlays make it easier to communicate how an incident is developing. Instead of relying only on static imagery, CHRIS adds a clearer visual layer that supports team communication and post-incident review. After the event, teams can also analyze the complete spread over time, making it easier to understand how the incident evolved. Beta invitation We are inviting drone operators from emergency services to join the CHRIS beta for free. With this new release, we will also be onboarding teams in other countries and regions such as Sweden, Portugal, and the United Kingdom, so the beta is not limited to one type of operating environment. We are especially interested in hearing from teams working in wildfire response or other fast-moving incident environments, but the invitation is broader than that. If your work depends on clearer situational awareness from the air, we would be glad to have you involved. All we ask is feedback in return. If you join the beta, you will have one full month of access at no cost. Onboarding is designed to stay lightweight: we expect about one hour for the initial setup, where we connect your drone to CHRIS and walk through the basics. After that, we ask for at least one feedback session so we can learn from your experience and improve the system. In return, we want to understand what helps, what gets in the way, and where CHRIS can do better. If you would like to read more about CHRIS before applying, you can learn more about the system and how it supports real-time incident mapping here. If you are interested in the free beta, please fill out the form on our website or click here. We would love to see what this technology can do in your environment. The goal of this beta is simple: work with the people who need this kind of tool most, and use their feedback to make CHRIS better for real-world use.

LUCI Dashboard Wildfire risk is no longer a problem that can be managed with broad regional warnings and static hazard maps alone. For the organisations responsible for protecting land, infrastructure, communities, and portfolios, the more important question is not simply where risk exists, but where action should start. That is exactly where LUCI stands out. LUCI is MEJOR's wildfire susceptibility intelligence platform, built to help organisations make better prevention decisions before ignition happens. It combines high-resolution 10 m mapping, seasonal and in-season risk views, explainable AI, and machine-learning modelling that can be trained and adapted for different geographic regions and wildfire environments. For buyers evaluating wildfire tools, that difference matters. Many platforms can show risk. LUCI is built to help organisations act on it. Wildfire Risk Is Now a Prioritisation Problem Most organisations do not struggle because they know nothing about wildfire risk. They struggle because risk appears across too many places at once. One forestry agency may need to decide which treatment areas deserve funding this season. Another land manager may have to choose between thinning, fuel breaks, or access improvements across thousands of hectares. Utilities may need to focus inspections and vegetation management along the most exposed corridors. Insurers may need to distinguish between properties inside the same broad hazard zone but facing very different local conditions. In each case, the problem is not awareness. It is prioritisation. Broad fire danger ratings, static hazard zones, and generic regional indicators can be useful, but they often leave decision-makers with the same unresolved question: where should limited resources go first? What LUCI Does LUCI comparing vegetation levels on two separate areas LUCI identifies wildfire susceptibility at a highly local level and helps explain the factors behind that susceptibility. It is designed for organisations that need to allocate limited prevention budgets across large areas, justify decisions to stakeholders, and integrate wildfire intelligence into real planning workflows. LUCI supports this through: 10 m x 10 m wildfire susceptibility mapping for localised insight Seasonal views for pre-season planning and budget allocation In-season views that add dynamic weather data, shifting the model from longer-term susceptibility analysis toward short-term forecasting and operational reprioritisation during fire season Explainable AI showing when, where, and why susceptibility is elevated Delivery through dashboards, APIs, GeoTIFF/COG exports, and GIS-compatible outputs Country-adaptable modelling rather than a one-size-fits-all wildfire index Together, these capabilities help teams move beyond general wildfire awareness and towards targeted, evidence-based prevention planning. What That Means In Practice Consider a forestry agency entering fire season with a limited budget for treatment work. LUCI can help the team compare treatment blocks, identify which areas are most likely to benefit from action first, and adjust priorities as weather conditions change. That kind of insight helps organisations: prioritise fuel treatments and inspections allocate limited prevention budgets more effectively justify decisions to regulators or stakeholders focus operational resources where intervention matters most The value is not just in seeing risk. It is in making the next decision more defensible. What Makes LUCI Different LUCI is not designed as a static map, a generic fire weather index, or a full incident-response platform. It is built as a pre-ignition decision layer. That means LUCI is strongest when organisations need to decide where prevention work should happen before a wildfire starts. It gives teams a more precise view of susceptibility, then helps explain what is driving the risk so decisions can be defended internally and externally. That explainability is important. A red zone on a map may signal concern, but it does not always help a field team, board, regulator, insurer, or land manager understand why action is needed. LUCI is designed to make that reasoning clearer. This makes the platform especially useful when decisions need to be: geographically precise operationally actionable explainable to non-technical stakeholders updated across both planning season and fire season integrated with GIS, underwriting, asset-management, or land-management workflows Where LUCI Creates Value LUCI is relevant across several wildfire-exposed sectors. For landowners, estates, timber portfolios, and conservation managers, LUCI can help prioritise fuel treatments, thinning, prescribed burning, access improvements, and seasonal planning. Forestry agencies and municipalities can use LUCI to support prevention planning, preparedness, grant applications, and cross-agency coordination through one shared risk layer. Utilities and infrastructure operators can use it to rank corridors, assets, and maintenance zones so inspection and vegetation-management work is focused where it matters most. Insurers and reinsurers can use LUCI for portfolio steering, mitigation programmes, and more localised wildfire exposure assessment, especially for rural, forestry, agricultural, and land-heavy portfolios. Across these use cases, the value is consistent: LUCI helps organisations focus limited resources on the places where action is most justified. From Knowing Risk to Acting on It Wildfire prevention depends on better decisions before ignition. That requires more than broad warnings. It requires localised intelligence, regular updates, and a clear explanation of why one place should be prioritised over another. LUCI gives organisations that decision layer. By combining high-resolution susceptibility mapping, seasonal planning views, in-season reprioritisation, explainable AI, and enterprise-ready delivery formats, LUCI helps teams plan earlier, act with more confidence, and defend their prevention decisions with better evidence. In a world where wildfire risk is increasing and prevention budgets are limited, the most important question is not simply where risk exists. It is where action should start. LUCI is built to help answer that question. To learn more about how LUCI supports forestry agencies, insurers, land managers, utilities, and other wildfire-exposed organisations, click here.

CHRIS showing the wildfire head, flanks and tail. When responding to a wildfire, knowing the perimeter is only part of the picture. What matters just as much is understanding how the fire is behaving across that perimeter in real time. For operational teams, identifying the head, flanks, and tail of a wildfire is critical. These different parts of the fire do not behave the same way, and they do not pose the same level of risk. Recognising those differences early helps responders predict fire spread, prioritise suppression efforts, and improve crew safety. Why Fire Structure Matters Operationally Wildfires develop asymmetrically. Wind, slope and fuel distribution drive uneven spread rate across the perimeter: Head: Typically exhibits the highest rate of spread and intensity, often dictating overall fire progression. Flanks: Can transition rapidly depending on shifting wind conditions, making them critical for containment strategy. Tail: May appear less active but still presents risks, particularly in variable terrain or changing weather. For incident commanders, these distinctions are not theoretical. They directly inform tactical decisions such as line placement, resource deployment, and evacuation planning. The challenge with live wildfire observation Many wildfire teams already use drones, aerial imagery or other similar tools to gain visibility on the incident. These tools are valuable, but they often do not provide a continuous and shared operational picture. A live drone feed gives detail, but only within a limited field of view. Manually drawn perimeters depend on individual interpretation and quickly become outdated. From perimeter mapping to real-time structure insight This is where CHRIS adds value. CHRIS transforms aerial imagery into a continuously updated, georeferenced wildfire map in near real time. It automatically detects the fireline and draws the perimeter as a polygon, giving teams an up-to-date outline of the incident without relying on manual plotting. As shown in the image above, this live-mapped perimeter also makes it easier to distinguish the head, flanks, and tail of the wildfire at a glance. That gives responders not just a fire outline, but a clearer understanding of how the incident is structured and where the main risks are developing. Instead of scattered observations or a single static map layer, responders get a live operational overview that updates as the incident evolves. That means teams can do more than see where the fire is. They can begin to interpret how it is moving and which parts of the fire demand the most attention. With this kind of live overview, responders can: Identify the active head of the fire and monitor its direction of spread Detect changes along the flanks before they become larger containment problems Maintain visibility on the tail and spot areas that may reignite or remain operationally relevant Work from an automatically updated fireline polygon rather than delayed manual perimeter sketches This turns aerial observation into practical situational awareness. Faster decisions under pressure In wildfire response, timing matters. A small delay in recognising a shift in fire behaviour can quickly affect safety, coordination, and containment strategy. With a continuously updated map, changes in fire direction can become visible earlier. Resources can be reassigned based on current conditions. Containment tactics can be adapted with greater confidence. Most importantly, teams across the incident can work from the same operational picture. That shared clarity becomes especially important during fast-moving incidents, where conditions can change in minutes rather than hours. Want to see how CHRIS helps teams map wildfire progression and structure in near real-time? By automatically generating fireline polygons from aerial imagery and turning them into a live operational map, CHRIS gives responders the clarity they need to act faster, coordinate better, and make safer decisions in the field.

Wildfire Progression visualised by different layers. Wildfires are a dynamic event. What responders see on the ground can change minute by minute, sometimes second by second. A fire that appears contained can quickly shift direction, intensify, or split into multiple fronts due to wind, terrain or fuel availability. Understanding how a wildfire is progressing over time is just as important as knowing where it started. Yet during wildfires and other live incidents, teams often rely on fragmented observations, delayed updates, or static maps that do not reflect the current situation. This is where CHRIS comes in. CHRIS enables teams to visualise wildfire progression in near real-time by continuously updating fire perimeters based on aerial data. Instead of working with a single snapshot, decision-makers gain a living picture of how the fire evolves. The Limits of Manual Wildfire Mapping In many operations, wildfire perimeters are still drawn manually from live drone feeds. This provides useful initial situational context, but only for that specific moment. Especially when what you see in a drone feed is very limited to literally what the drone sees at that exact moment (image below), not a bird's-eye view of the wildfire. The challenge is speed: the fire keeps moving, while the manually drawn perimeter quickly becomes outdated. In complex incidents with multiple fronts and hotspots, this creates blind spots and forces teams to act on partial information. As a result, teams are frequently forced to make decisions based on partial or outdated information. View from a drone feed only. From Snapshots into Wildfire Progression CHRIS is designed to address this exact challenge. Instead of relying on a single, manually drawn snapshot, CHRIS converts aerial imagery into georeferenced fire polygons that can be updated continuously. This makes it possible to visualise not only where the wildfire is, but how it is progressing over time. Rather than asking "Where is the fire now?" , teams can answer a more important question: "How is the fire evolving?" CHRIS: Fire polygons. Visualising Wildfire Progression with CHRIS CHRIS: Fire progression Besides showcasing the hotspots of a wildfire, CHRIS can also show you the progression of a wildfire. This is done by combining multiple images into a single map. The image above shows how CHRIS visualises wildfire development by stacking fire polygons from different moments in time. Instead of displaying only the most recent perimeter, CHRIS allows several wildfire layers to be shown simultaneously within the same map view. Each layer, represented by a different colour, reflects the fire perimeter at a specific moment. By layering these polygons, CHRIS makes the development of the fire immediately visible within a single image. This approach allows teams to instantly compare where the fire was and where it is now, without swithing between maps, having to do this manually or relying on memory. The result is a clear and spatially accurate overview of how the wildfire is evolving. With this layered view, teams can quickly identify: How quickly is the fire spreading? In which direction is the fire front moving? Where new hotspots have emerged? Which areas are increasingly at risk? Instead of interpreting live video feeds or manually comparing separate images, responders gain a clear, map-based understanding of wildfire progression. From Position to Progression Seeing where the fire is matters. Understanding how it moves can change everything. By visualising wildfire progression over time, CHRIS helps incident commanders and response teams recognise patterns earlier, anticipate fire spread, and make faster, better-informed operational decisions. Instead of relying on fragmented observations or static maps, teams gain a clear and continuously updated overview of how the situation is evolving. If you would like to see how real-time wildfire progression can support your operations, our team would be happy to show you. Talk to our wildfire mapping experts and discover how CHRIS can strengthen situational awareness during dynamic incidents.

From pilot project to live field validation Since May 2025, MEJOR Technologies has worked closely with Brandweer Twente and Veiligheidsregio Twente in a demo and pilot programme to validate CHRIS in real operational conditions. Since the start of this collaboration, CHRIS has been further developed together with both organisations to ensure it meets the practical demands of fire service teams in the field . The pilot culminated in a successful field test in January 2026, during which CHRIS was deployed live using the drone from Veiligheidsregio Twente. During this test, a moving fire of approximately 400 square metres was actively monitored. Within seconds, RGB and infrared imagery were available in a single central dashboard, combined with automatically generated fire polygons that provided immediate insight into the situation. Real-time incident mapping for dynamic incidents CHRIS provides fire service teams with critical insights during dynamic incidents and supports faster, better-informed and safer decision-making. During wildfires and other rapidly evolving situations, a real-time situational overview is essential. At the same time, traditional incident visualisation is often fragmented, quickly outdated and highly dependent on manual interpretation. CHRIS overcomes these limitations by automatically analysing drone imagery and translating it into directly applicable operational information. Turning infrared data into operational insight The strength of CHRIS does not lie in the use of infrared imagery alone, but in its automatic analysis. While, at least in the Netherlands, infrared imagery is already available through existing drone platforms, CHRIS translates this data directly into actionable operational information. Based on IR imagery, fire polygons are generated automatically, and key metrics such as location, surface area, perimeter and relevant fire front information are automatically calculated instantly. This process requires no manual drawing and remains reliable under smoke layers and in conditions with limited visibility. As a result, fire service teams gain accurate and consistent insight even when visual observation is constrained. In addition, CHRIS detects smaller hotspots caused by wind carrying small pieces of burning material to new locations. By identifying these secondary ignitions at an early stage, CHRIS helps teams anticipate further spread and intervene before the situation escalates. Fire polygons generated by CHRIS visualising the active fire area. The RGB layer reveals a hotspot in the bottom left corner that would otherwise remain undetected. Tracking fire development over time CHRIS also enables teams to follow and compare the development of a fire over time. By combining imagery from different moments, it becomes clear how quickly and in which direction a fire is spreading. This temporal insight helps incident commanders recognise patterns, assess risks more effectively and identify expansion, including spotting fires, at an earlier stage. Fire polygons generated by CHRIS showcase the fire progression from the previous time interval to the current. Integrated situational awareness without added complexity All insights come together in one integrated, no-button solution that connects seamlessly with existing systems and dashboards. This means teams do not need to learn an additional tool or adapt their workflows. CHRIS delivers real-time situational awareness when it truly matters and acts as a directly deployable support for operational decision-making during live incidents. Want to see CHRIS in action? Discover how CHRIS can strengthen situational awareness during wildfires and complex incidents. Get in touch to request a live demo or explore how CHRIS can be integrated into your existing operational setup.

We are proud to share that MEJOR Technologies has been selected for the Protechting Open Innovation Challenge, an international programme that connects high-potential startups with leading corporate partners to develop and pilot real-world solutions. This year’s edition received more than 600 applications from across the globe, with only 20 startups selected to move forward. Being chosen as part of this group marks an important milestone for MEJOR Technologies and validates the impact of the work we are building. Within the programme, we will collaborate with Fidelidade, one of Portugal’s leading insurance companies. LUCI was selected by Fidelidade for its ability to predict and provide insight into wildfire occurrence, supporting a more proactive approach to risk management. Together, we will establish a pilot in Portugal aimed at strengthening underwriting by improving how wildfire risk is quantified, enabling more accurate pricing and better-informed decision-making. Predictive Wildfire Risk Insights As climate risks continue to increase, wildfire prevention is becoming a growing priority for insurers, communities, land managers, and public authorities. Through this pilot, we aim to demonstrate how predictive insights can support stronger decision-making before incidents occur, not only at the moment of risk, but also in how risk is evaluated and About LUCI: The Wildfire Prevention Tool LUCI is our AI-driven wildfire susceptibility mapping solution, designed to help organisations understand when, where, and why wildfires are more likely to occur. By transforming environmental and historical data into clear, actionable insights, LUCI enables stronger prevention, preparedness, and risk mitigation strategies, while also supporting more informed planning and long-term resilience. For MEJOR Technologies, joining Protechting is not only recognition of our work, but also a valuable opportunity to test and further develop LUCI in collaboration with a major insurance partner. We look forward to working closely with Fidelidade, learning through the pilot process, and continuing to build technology that helps protect nature, people, property, and critical assets. We would like to thank the Protechting team and Fidelidade for this opportunity, and we look forward to the journey ahead. Do you want to strengthen your underwriting with better wildfire risk insights? Get in touch with us to explore how LUCI can support your organisation.