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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.

Let's Work Together Join us in building smarter wildfire prevention and response solutions through meaningful collaboration. Let's Collaborate Partners To play, press and hold the enter key. To stop, release the enter key. How Can We Work Together If you are developing wildfire solutions, improving operational workflows, or advancing applied research, we should talk. Fill out the form below to get in touch Industry Collaboration Looking for mutual value? Partner with us on applied wildfire research, pilot projects, and practical field validation. Scientific insight to practical tools and workflows. Wildfire Spread (PDF) Operational Are you a first responder? Join the CHRIS beta and help shape it in live operational field settings where speed, clarity, and practical value matter most. CHRIS Beta (PDF) Academic Are you academic? Collaborate on wildfire modelling, dynamic risk mapping, and spread prediction through applied research and validation projects. Dynamic Risk (PDF) Help Shape the Future of Wildfire Education The future of wildfire management will be built by the teams who train today’s responders. Join our beta program to give your faculty and students early access to next-generation wildfire tools. Collaboration Application Tell us a bit about your organisation and how you’d like to collaborate with MEJOR. First name* Last name* Type of Collaboration* Operational (CHRIS Beta) Academic (Wildfire Spread, Dynamic Risk) Commercial Educational General Work Email* Organisation* Position Phone Submit

Want a free CHRIS demo? Book your demo today and discover how real-time incident mapping can support your organisation. Book a Free Demo! Leave your contact details to book a free Demo! Contact us First name* Last name* Email* Phone* Company name* Position* Write a message Submit Contact Details Phone +31 6 39 50 2510 Email contact@mejortechnologies.com Contact our expert Didn’t find your answer or need more details? Our expert is here to help. Contact Expert Head of Partnerships Stijn Meijers

Explore MEJOR Technologies' blog for insights on Real-Time Incident Mapping and Wildfire Prevention. Learn about the latest advancements and expert strategies to enhance safety and response. MEJOR Technologies Blog Here you will find information on our previous projects, facts about wildfires and our wildfire management solutions. If you have any questions, please get in touch with us. From Wildfire Risk to Smarter Action Wildfire management is shifting from reactive response to proactive prevention. In this blog, we explore how real-time mapping, AI-driven risk analysis, and smarter operational insights help emergency services and organisations anticipate wildfire threats earlier, coordinate faster, and make more informed decisions when every second counts. LUCI Nathaniel Osborne Mapping Wildfire Stucture in Real-Time: Head, Flanks and Tail Understanding a wildfire means more than knowing its perimeter. By automatically detecting the fireline and generating a live polygon from aerial imagery, CHRIS helps operational teams identify the head, flanks and tail in near real time, supporting faster decisions, better coordination and improved safety in the field. CHRIS Hanna Wellenberg CHRIS: Seeing Wildfire Progression in Real-time Wildfires evolve rapidly, yet responders often rely on static maps or manual perimeter drawings that quickly become outdated. This article explores how CHRIS visualises wildfire progression in near real-time by converting aerial imagery into continuously updated fire polygons. By stacking fire layers from different moments in time, teams can clearly see how a wildfire spreads, where hotspots emerge, and which areas are increasingly at risk. CHRIS Hanna Wellenberg Real-time incident mapping in practice: CHRIS with Brandweer Twente & Veiligheidsregio Twente CHRIS allows incident commanders to compare fire behaviour across multiple moments in time. By visualising how a fire spreads and evolves, teams gain clearer insight into direction, speed and early expansion risks. CHRIS Hanna Wellenberg What is GIS? An introduction to Geographic Information Systems (GIS) and how this powerful technology transforms location based data into actionable insight. Discover how MEJOR Technologies applies GIS in wildfire prevention and real time incident management using advanced data layers such as weather, vegetation, topography, SAR, and human activity. BLOG Hanna Wellenberg Why is wildfire prevention important? Wildfires are becoming a global threat, even in regions once considered safe. While suppression efforts are essential, they’re only part of the solution. This post explores why investing in wildfire prevention is a smarter, more sustainable approach and how AI-powered tools like LUCI can help stop fires before they start. LUCI Hanna Wellenberg CHRIS – Enhancing Wildfire Response with Near Real-Time Wildfire Overview Mapping CHRIS is a real-time wildfire response tool that transforms drone footage into high-resolution, GPS-tagged maps. By stitching aerial imagery into a cohesive view of fire boundaries and hotspots, CHRIS empowers emergency teams with the clarity they need to act fast and stay safe in the field. CHRIS Hanna Wellenberg How do wildfires start? Wildfires are becoming more frequent and destructive around the world. Learn what causes them—both naturally and through human activity—where they’re most common, and how climate change and human negligence are making the crisis worse. MEJOR Hanna Wellenberg How to get an overview on a wildfire? With wildfires becoming more frequent and severe, effective management tools are more important than ever. Discover how CHRIS, an innovative wildfire response system, provides real-time wildfire overviews, helping emergency teams detect hotspots, map firelines, and make faster decisions to save lives and property. CHRIS Hanna Wellenberg Rethinking Wildfire Management: Wildfire Prevention Over Suppression Wildfires are getting worse—suppression isn’t enough. LUCI uses AI to predict and prevent fires before they start. The future is prevention! LUCI Hanna Wellenberg 1 2