Dangerous, frontline firefighting jobs may get a bit safer thanks to new heat-sensing sensors designed by NASA. The sensors are made from commonly available household materials, and attach to the bulldozers firefighters use to clear vegetation and brush in a fire’s immediate path, triggering an alarm when temperatures reach extremely dangerous levels.

Knowing when a fire is hot might sound obvious, but many new so-called fire dozers are being outfitted with enclosures to protect their operators from the flames. That’s a welcome change, but it also reduces the operator’s ability to gauge the surrounding heat. These new sensors help solve that problem, protecting the driver and helping prevent the dozers from sustaining too much damage.

The sensor setup is simple by design. It consists of a standard thermocouple similar to those found in a home oven, which is then wired to an LED light in the dozer’s cabin. If the light starts blinking, it’s time to get out of Dodge. 

The entire system is powered by something that’s probably laying around your house: AA batteries. Using a simple power source like this is part of an attempt to make every aspect of the design affordable and accessible. University of Alabama, Huntsville research scientist Ryan Wade emphasized that point in a NASA blog post. He explained that during a recent trial installing the sensor in a fire dozer, his team realized that they were missing a part. Rather than waiting to hear back from NASA and having a custom piece shipped to them, they simply walked down the street to a hardware store and solved the problem.

“NASA’s expertise in this case comes not in the novelty of the instrument itself, but in figuring out how to solve the problem quickly and integrate that technology into their existing system,” Wade said.

That flexibility is what makes the approach so valuable for firefighters. Alabama Forestry Commission fire analyst Ethan Barrett says the devices so far work “exactly as intended.” In Alabama, at least, officials are planning to outfit their entire dozer fleet with the sensors. The sensor system was developed by NASA’s FireSense project, whose interest in it was twofold. The sensors will more immediately help firefighters on the ground as fire season approaches, but the data they collect will also prove invaluable for future research. By placing sensors in the dozers, NASA will gather reams of data about fire strength and intensity straight from the front lines.

The post Fire dozers outfitted with NASA-made sensors help battle blazes appeared first on Popular Science.

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Source: Earth’s Future

Coastal landscapes are constantly being reshaped by natural forces, and as climate change causes more frequent storms and sea level rise, that change will only intensify. Because these areas are densely populated with homes, tourist destinations, and industries, understanding how and where the coast will change is a pressing issue. However, reliable predictions that lead to actionable knowledge are rare.

Lentz et al. describe the state of knowledge regarding coastal evolution, highlight gaps in scientists’ understanding, and describe opportunities for integrating information from various models, data sources, and end users.

Current coastal evolution predictions are often focused on too specific a location and are therefore hard to generalize or analyze too large a region and therefore lack detail, the authors say. In addition, it’s challenging for researchers to link the effects of acute events, such as storms, with long-term trends like sea level rise.

Improving these simulations will likely require combining many different types of models, including physics-based numerical models, models based on empirical measurements, and statistical models that include machine learning. To fully understand potential changes, the authors note that it is also essential to consider both coastal processes and human actions.

The researchers recommend several ways to improve consistency and collaboration in the field of coastal change forecasting. First, standardizing approaches and outcomes would make it easier to produce national-scale predictions. Right now, the variety of tools used across different locations makes it difficult for scientists to compare results and communicate effectively. They also emphasize the need for using coordinated research approaches. Stronger transdisciplinary collaboration, accompanied by essential training and support, would also enable scientists to make better predictions, the researchers say.

Comparing predictions to real-world observations of coastal landscape change could also help untangle this multifaceted challenge. By studying how coastlines have already changed, researchers can validate models and choose those that are performing best. Such comparisons require datasets that adequately capture coastal landscape change across both time and space. Remote sensing data and the use of artificial intelligence (AI) for data processing may help provide these improved datasets, the researchers suggest.

Engaging end users during the project planning process is also helpful because only end users truly know what kind of information they need to adapt to landscape change. Knowing how to engage end users can be difficult for physical scientists, but various tools and specialized personnel exist who can help coordinate these interactions, the authors say. (Earth’s Future, https://doi.org/10.1029/2024EF005833, 2026)

—Saima May Sidik (@saimamay.bsky.social), Science Writer

Citation: Sidik, S. M. (2026), How to study coastal evolution, Eos, 107, https://doi.org/10.1029/2026EO260115. Published on 15 April 2026.

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