5/27/26 Bi Weekly Meeting at 10 AM CT

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Biplov Bhandari

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May 27, 2026, 10:43:31 AMMay 27
to Geo-AI Working Group
Hi Geo-AI Working Group,

Sorry for the late notice, but we have our next talk today. We will be joined by Dr Scott L. Morford
 
Title: NAIP-CHM: An Open-Source Canopy Height Model for the Conterminous United States, Built for Decision Support

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Scott L. Morford, Ph.D., is the Associate Director of the Working Lands for Wildlife (WLFW) Science Team at the University of Montana and the technical lead for the group's spatial science efforts within the Numerical Terradynamic Simulation Group. He applies remote sensing, machine learning, and software engineering to support conservation across the sagebrush biome and Great Plains grasslands. Scott earned his Ph.D. in Soil Biogeochemistry from the University of California, Davis, and his B.S. in Resource Conservation from the University of Montana.

His work sits at the intersection of machine learning, remote sensing, and applied rangeland ecology. He led development of the Landscape Explorer, an interactive mapping tool that visualizes 70 years of change across the western United States, and leads research on optimizing conservation practices on working lands to support grassland and wildlife conservation. Based in Missoula, Montana, Scott collaborates with the USDA Natural Resources Conservation Service, the US Forest Service, the US Fish and Wildlife Service, the Bureau of Land Management, and partners across the conservation community to turn research workflows into decision-support tools for land managers.
 

Biplov Bhandari

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May 30, 2026, 12:05:05 PM (14 days ago) May 30
to Geo-AI Working Group
Hi everyone,

If you missed the live presentation, the full recording is now available on our YouTube channel. Video link: https://youtu.be/zkrxHY-aTpg

This was an awesome presentation showing how Scott and his team is scaling sub-meter canopy height models across the US using NAIP imagery and a FiLM-conditioned U-Net architecture. It’s an incredible look at how open-source GeoAI is democratizing 3D vegetation structure data for land management and conservation.

Best
Geo-AI WG

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