🗓 Geo-AI Working Group Bi-Weekly Meeting on May 27, 2026 | Read Meeting Report

[Aekkapol Aekakkararungroj via Read AI]

The meeting reviewed working-group activity (rolling open-source deep learning book launch planned, community catalog search interface links forthcoming) and then focused on a University of Montana presentation of a nationwide CONUS canopy-height model (CHM) built for conservation and rangeland applications. Data and pipeline: the team ingested nationwide airborne LiDAR Entwine tiles... ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­

👋 You've been invited to view this report because Aekkapol Aekakkararungroj added Read to the meeting and wanted to share the recap with you. Geo-AI Working Group Bi-Weekly Meeting May 27, 2026     The meeting reviewed working-group activity (rolling open-source deep learning book launch planned, community catalog search interface links forthcoming) and then focused on a University of Montana presentation of a nationwide CONUS canopy-height model (CHM) built for conservation and rangeland applications. Data and pipeline: the team ingested nationwide airborne LiDAR Entwine tiles... see more Access this meeting report Account creation required. This is your personal link, please do not forward this email to others.

Recap Chapters & Topics • Data distribution, community tools, and implementation tips • The NAP dataset (24 TB) is available requester-pays in Google Cloud and as a University of Montana repository, and a public Earth Engine asset exists for easy access. See all 26 chapters → Action Items • Conference room participant will reach out to attendees to invite contributions to the book chapters (including contacting Scott and Tim) • Sam will add the links from his GE Insiders presentation to the chat See all 8 action items → Key Questions • Would incorporating NEON flyovers or other LiDAR sources help correct bias caused by leaf-off LiDAR acquisitions in the eastern U.S.? • Why was four-band NAIP imagery used instead of older three-band imagery, and could the model be extended to older imagery to increase temporal coverage? See all 7 key questions → Review notes

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