Axiom F7 Data Logger
The Axiom F7 is a wildfire data logger built for long-term, off-grid Remote Automated Weather Station (RAWS) deployments. Trusted by the National Interagency Fire Center (NIFC), the Canadian Interagency Forest Fire Centre (CIFFC), and fire agencies around the world.
- Integrated GOES and Iridium communications: simpler to deploy, fewer failure points
- IP67 sealed, MIL-STD-810G tested for the demands of long-term field deployment
- Configure and maintain from the field via full-color touchscreen — no laptop required
- What to know
- Telemetry
- Data and sensors
- Software
- Support
Built for wildfire
Trusted by leading fire agencies
Trusted by 100% of the top wildland fire agencies in North America. Remote Automated Weather Station (RAWS) networks powered by the Axiom F7 serve NIFC, CIFFC, and fire agencies across the continent. Compliant with NFDRS and CFDRS standards.
Engineered for extreme conditions
IP67-sealed, MIL-STD-810G shock and vibration tested, rated from -40°C to 60°C. Integrated power management and solar charge controller keep it running continuously, even in adverse conditions.
Fast setup, low maintenance
Color display and touchscreen eliminate the need for external devices. Color-coded connectors and a system configuration wizard mean no programming required for faster deployments and fewer mistakes.
Flexible sensor architecture
Four SDI-12 ports and an Auxiliary Communication port support an extensive array of sensors and allow for extending system capability in response to changing needs.
The right connection for any site
The F7 supports multiple communication options depending on where you’re deploying and what your program requires.
GOES and Iridium satellite options are integrated directly into the logger. GOES serves public safety programs in North America; Iridium covers private sector and international deployments.
For sites with LTE coverage, the AEM CTX-G1 cellular modem connects via the auxiliary port — a practical option for redundancy or higher-frequency data transmission.
For Quick Deploy RAWS installations, the F7 supports AirTalk — a voice radio interface compatible with the BKR5000 handheld radio. Voice alerts can be triggered by measurement threshold or DTMF code.
Built for where you are and where you're headed
The F7 connects to the full range of sensors needed for RAWS and fire weather applications. Compatible sensors include temperature/humidity, fuel moisture, precipitation, anemometers, pyranometers, soil moisture probes, barometric pressure sensors, and user-configured SDI-12 devices. See the F7 technical datasheet for the full compatibility list.
If telemetry goes down, the F7 keeps logging. All measurements are continuously saved to an internal database with more than five years of capacity. When connectivity is restored, nothing is missing.
- Data downloads as CSV via USB — compatible with standard data workflows
- On-device processing includes min, max, average, standard deviation, and vector wind calculations
- Log structure can be constructed after the fact from the full measurement record
From the field into AEM Elements® 360
The Axiom F7 feeds directly into AEM Elements 360, where wildfire monitoring and response teams see field data as it happens, whether the connection is Iridium, GOES, or cellular.
What teams can do in AEM Elements 360:
- Visualize RAWS data alongside lightning, satellite, camera feeds, and other weather stations in a single view.
- Build role-based wildfire dashboards that combine fire weather, lightning, and alerts to support faster, more informed decisions.
- Automate multi-channel wildfire alerts—text, email, and in-app—based on fire weather thresholds and changing conditions.
- Share situational awareness across field crews and command centers simultaneously.
Documentation and Support
Get the most from your Axiom F7 Data Logger with documentation and direct support from the AEM team. The following documentation and more can be found on the FTS (an AEM brand) support site.
- Axiom Operator’s Manual
Ventura County Fire Department
In a county that is almost twice the size of Rhode Island and ranges in elevation from 50–8,800 feet (15–2,690 meters) above sea level, fire conditions can vary dramatically from one area to another.
“We purchased the QDRAWS just to have for project work like vegetation management. Then we also used it to identify good spots for permanent stations… It’s just been great. It’s easy to deploy. Easy to take down. It’s a great product.”
Ken VanWig
Retired Fire Captain, Wildland/Aviation Division
Frequently asked questions
In general, a data logger is a device that records data being observed by one or more sensors. A wildfire data logger like the Axiom Fire is specifically designed to capture and communicate environmental data that’s relevant for wildfire monitoring and risk assessment applications, such as humidity, wind speed and direction, fuel moisture, and rainfall.
Our Remote Automated Weather Station (RAWS) stands out for its robust features, rugged construction, and seamless integration capabilities. Engineered for reliability and accuracy, our solution offers remote accessibility, customizable sensor configurations, and compatibility with third-party software systems. Whether you require precise weather data for regulatory compliance, resource management, or risk mitigation, our RAWS delivers unmatched performance and value.
Customers include municipal and state fire departments, federal wildfire agencies, electric utilities, and public/private land managers across North America. These organizations use AEM to shorten detection-to-response time and protect people, infrastructure, and natural resources.
AEM Elements™ 360 aggregates forecasts, fuel moisture, and air-quality metrics into one highly visual dashboard. This enables faster, evidence-based decisions. See how Multi-Source Ignition Detection combines a variety of real-time data sources to transform AEM Elements 360.
The most effective wildfire detection solutions integrate multiple, independent data sources to identify high-risk areas and verify ignitions. By using a single, future-proof application, information from multiple data sources can be easily consolidated and used to eliminate delays caused by fragmented information and boost confidence in decisions during critical moments.
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