06/25/25 Bi Weekly Meeting at 10 AM CT
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tjm0042
Jun 23, 2025, 9:52:37 AMJun 23
to Geo-AI Working Group
Hi Geo-AI Working Group,
We are thrilled have another exciting installment of our lecture series this week so please join us on 6/25 at 10 am CT for a presentation from Dr. Jeff Cardille Associate Professor at McGill University.
Jeff's work focuses on the intersection of landscape ecology, computer science, and remote sensing/GIS. His research centers on understanding the drivers of landscape pattern change and their far-reaching effects on ecosystems, biodiversity, and human societies. Dr. Cardille employs a sophisticated blend of cloud-based platforms, geographic information systems, and satellite imagery to investigate environmental impacts across local, regional, and continental scales. His work often involves integrating various data sources to refine land-cover classifications, smooth out temporal inconsistencies, and accumulate evidence of land cover change and stability.
Jeff is the lead editor of the comprehensive 55-chapter manual, "Cloud-based Remote Sensing With Google Earth Engine," published by Springer in early 2023. Beyond his academic role, he holds a unique position as a Visiting Faculty Researcher at Google Research, where he is helping Google to work through the potential for LLMs to impact remote sensing. Learn more about his lab here.
We are thrilled have another exciting installment of our lecture series this week so please join us on 6/25 at 10 am CT for a presentation from Dr. Jeff Cardille Associate Professor at McGill University.
Title: They Come in Peace? How helpful, skilled, and/or threatening can Large Language Models be in remote sensing?
Jeff's work focuses on the intersection of landscape ecology, computer science, and remote sensing/GIS. His research centers on understanding the drivers of landscape pattern change and their far-reaching effects on ecosystems, biodiversity, and human societies. Dr. Cardille employs a sophisticated blend of cloud-based platforms, geographic information systems, and satellite imagery to investigate environmental impacts across local, regional, and continental scales. His work often involves integrating various data sources to refine land-cover classifications, smooth out temporal inconsistencies, and accumulate evidence of land cover change and stability.
Jeff is the lead editor of the comprehensive 55-chapter manual, "Cloud-based Remote Sensing With Google Earth Engine," published by Springer in early 2023. Beyond his academic role, he holds a unique position as a Visiting Faculty Researcher at Google Research, where he is helping Google to work through the potential for LLMs to impact remote sensing. Learn more about his lab here.
Biplov Bhandari
Jun 26, 2025, 6:28:51 PMJun 26
to Geo-AI Working Group
Hey All
I hope everyone is doing well! I've included Jeff's presentation on LLMs for Remote Sensing Applications on our YouTube channel. Video link: https://youtu.be/ihwyHArbAIw
Best
Geo-AI WG
I hope everyone is doing well! I've included Jeff's presentation on LLMs for Remote Sensing Applications on our YouTube channel. Video link: https://youtu.be/ihwyHArbAIw
Best
Geo-AI WG
Wanjohi Christopher
Jun 26, 2025, 6:30:30 PMJun 26
to Biplov Bhandari, Geo-AI Working Group
Thank you Biplov! Appreciate it.
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