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

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.