@galaxydinodragon@social.linux.pizza
Post #2579397
2026-05-06 08:58 UTC
Can any satellite imagery nerds help me out here?
Basically, I have a custom index made in QGIS from various sentinel 2 bands to try map fuel availability for grass fires. On this index, high values are "better" fuel ig is how you would phrase.
What I want to do is randomly elect "hot points" which would be the start point of a grass fire, I then have a spread simulation function to run based on distances of pixels from the hot spot as well as various other things. What would the best way of finding how far from the nearest hotspot each pixel is? Probably going to use python and numpy.
#python #satellite #qgis #simulation
Replies (2)
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@portaloffreedom@social.linux.pizza 2026-05-06 10:23
@galaxydinodragon@social.linux.pizza some Dijkstra or flooding algorithm are what you are looking for. Probably flooding from a single hotspot and then check each pixel how far is from the hotspot.
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@HumanMapping@fosstodon.org 2026-05-06 15:02
@galaxydinodragon@social.linux.pizza this is just a way off the top of my head possibility. How about using a routing algorithm like OSRM? I think it would mean looking at each pixel and routing to each hot spot then picking the minimum value.