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UID:pretalx-scipy-2026-E8QGYT@pretalx.com
DTSTART;TZID=CST:20260715T131500
DTEND;TZID=CST:20260715T134500
DESCRIPTION:UChicago's Data Science Institute (DSI) partners with 11th Hour
  Project to turn data insights into action. In this talk\, I'll focus on o
 ur collaboration with Occidental Arts & Ecology Center (OAEC)'s Fuels to F
 lows program\, which stabilizes upland waterways by adding brushwood that 
 would otherwise fuel forest fires. Gullies are hidden by trees\, so we use
 d publicly available LiDAR to cleanly identify gullies by shape with a lig
 htweight convolutional model. I'll show how Numba made it possible to conv
 olve hundreds of gigabytes of images with unusually large kernels and how 
 we delivered these map layers via static hosting using PMTiles\, even with
  interactive features like computing elevation profiles along hand-drawn l
 ines.
DTSTAMP:20260622T122150Z
LOCATION:Thomas Swain Room
SUMMARY:From LiDAR to action: detecting upland gullies to combat erosion an
 d forest fires - Jim Pivarski
URL:https://pretalx.com/scipy-2026/talk/E8QGYT/
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