This fire season is shaping up to be one of the worst. Here’s why:
Reliance on traditional firefighting surveillance methods
We’ve written about how rising temperatures have created an environment that is more conducive to forest fires. (https://www.robotto.ai/post/nighttime-and-un-report) Not only are forest fires having an easier time igniting and growing, they also are a key emitter of CO2, emitting 148% CO2 in 2021 than the entire EU fossil fuel industry in 2021. (https://atmosphere.copernicus.eu/wildfires-wreaked-havoc-2021-cams-tracked-their-impact)
Much of the world is experiencing staffing shortages across industries. Many have begun to prioritize free time, seeking higher wages for shorter working hours, making it difficult for several industries to compete, and resulting in extreme staffing shortages and volunteer forest fire services are no exception.
Reliance on traditional surveillance methods
Fire services across the globe have a limited arsenal of tools they can deploy to better understand wildfires. Their toolkit includes satellite imagery and visual observance from foot and air. Both methods rely on human identification and calculation, which is prone to mistakes. In addition to this, gathering data for calculation takes time and can be costly. In this new climate, there is no time to waste gathering data, as time lost is time for the fire to grow beyond initial calculations.
Combined, these three underlying conditions are putting our fire services at a vast disadvantage. At Robotto we’ve developed the world’s first AI-powered drone software specifically designed to elevate pains caused by staffing shortages but replaying traditional identification and analysis methods, making it easier to deal with the increase in fire frequency.
Learn more about how the software works www.robotto.ai/fire