Hi All,
I’m a lurker, don’t want to discourage this, and hope you’ll find a good way to apply LoRa technology to fire support activities as you proceed. So far, though, there has been no mention of the current state of the art for detecting wild/forest fires. Start here for example:
This map aggregates data collected from satellites equipped with supercooled infrared sensors, such as NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) satellites. On high fire danger days in California, this data is supplemented in realtime by high flying aircraft carrying similar sensors. My understanding is the current problem is not the ability to detect a fire as it starts, but getting the necessary resources in place quickly enough to extinguish it before it spreads beyond control. The major loss of life and property in California typically occurs when the wind has been blowing at 50+ MPH. Even if one fire is successfully extinguished, others will be started (sometimes miles away) by airborne embers from the first. The morning after we had the large thunderstorms in the Bay Area, the FIRMS map was covered with hundreds of red dots, along with several large conflagration areas. By that point, state/county/USFS fire crews have to choose which fires to address and hope the rest can be handled locally or burn themselves out.
Best regards,
Marc
Hello Jake,
There is previous literature:
for using image processing to detect wildfires. This could definitely be implemented alongside with physical sensors to create an early detection system.
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Today's Topics:
1. forest fire early detection system (Jake)
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Message: 1
Date: Mon, 25 Jan 2021 14:16:25 -0800 (PST)
From: Jake <jake@spaz.org>
To: mesh@lists.sudoroom.org
Cc: Tperreault369@gmail.com
Subject: [Mesh] forest fire early detection system
Message-ID: <alpine.BSF.2.21.999.2101251318130.55097@pe710.spaz.org>
Content-Type: text/plain; format=flowed; charset=US-ASCII
I don't know if this is the right list for disaster.radio but I want to involve
everyone who might be interested.
In California we have a serious forest fire issue. It would be nice to go back
in time and not burn a bunch of carbon, but that ship has sailed and while
things might be okay on a more geological timescale, I personally like
breathing and my friends do too.
So we need a forest fire detection system that can pinpoint forest fires as
soon as they start (whether because of a flicked cigarette or a lightning
strike or an ember floating on the wind from a campfire) so that we have a hope
of putting them out before they grow out of control.
Presently, by the time a fire is detected, it's often large enough that humans
can't do anything about it except spend tons of money on trying to protect the
houses of people who live out in the woods. That might be nice for the people
who live there but it doesn't do anything for the people who have to breathe
smoke for an entire season, and of course the carbon impacts on weather
patterns are a big factor as well.
So i'm calling for a group of us to partner with state agencies for funding and
information, and figure out how out mesh networking and hardware/software
skills can be put to use to try to improve the situation. I'm picturing
something like Disaster Radio nodes installed as a mesh in the woods, with
smoke detection and wind direction/speed sensors, and maybe humidity and
temperature as well. They will flow that data upstream to larger nodes that
can link back to forest service buildings or towers, where that data can be
monitored for signs that a fire is starting.
Please loop in people who you think might be interested in making this happen.
I really think it would need at least one lead person for grantwriting and
organizing; hardware and software skills are useless without the means to make
things happen, as well as the legitimacy required to interface with agencies
like the forest services that will actually be using this system to fight
fires.
-jake
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