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30 lines
1.5 KiB
Markdown
30 lines
1.5 KiB
Markdown
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https://github.com/user-attachments/assets/c1667615-0cd0-4843-8e6d-9f135566d22b
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3.9 micron data from the GOES-16 East and GOES-18 West satellites on the January 2025 Southern California fires.
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We download the reprojected data from UW SSEC's [RealEarth program](https://realearth.ssec.wisc.edu/).
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Each image is 128x128 pixels, centered at (34.1, -118.4). Each pixel is 1.0 km.
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The satellites measure the temperatures of the topmost infrared-opaque region in the atmosphere,
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which may exaggerate the extent of fires from heated smoke, or hide the extent from cloud cover.
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You can see how quickly the fires initially grow — up to a square mile every minute at first — fueled by dry vegetation and strong winds.
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This shows the extreme difficulty of containment.
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The code combines the two satellites' data for increased resolution.
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It currently measures the areas of hotspots.
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If a pixel is registered as "hot" in one frame, that is counted for the next 12 hours
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in order to balance the uncertainty under cloud cover vs. the fire actually dying out.
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If I have more time I might try doing some other measurements,
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but I also wrote in a hurry this to demonstrate the accessibility of citizen science.
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If you want to play with the code online,
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one way is to import this repository onto [Google Colab](https://colab.research.google.com/).
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Change the parameters of `download.py` to import new data,
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and perform the analysis with `analysis.ipynb`.
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