They Come in Peace?How helpful, skilled, and/or threatening can LLM be in Remote Sensing? скачать в хорошем качестве

They Come in Peace?How helpful, skilled, and/or threatening can LLM be in Remote Sensing?

Dr Jeffrey A. Cardille presented at the Geo-AI Working Group on June 25, 2025. 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," (link https://www.eefabook.org/) 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: https://www.cardillelab.com/. Find Jeff's presentation here: ======================================= Website: https://tinyurl.com/geo-ai-wg Geo-AI WG Google Group: https://tinyurl.com/join-geo-ai-wg Recurring meeting invite Geo-AI Working Group Bi-Weekly Meeting Bi-weekly Wednesday, 10:00 – 11:00 AM CT Google Meet joining info Video call link: https://meet.google.com/jmo-ojko-imx #foundationalmodel #embeddings #llm #earthengine #machinelearning #earthobservation #ai #nasa #noaa #thegeoict #mcgill #mcgilluniversity #geoai