Webinars

Upcoming Webinars

Pan-Arctic Permafrost Landform and Human-Built Infrastructure Feature Detection With Vision Transformers and Location Embeddings

Accurate mapping of permafrost landforms, thaw disturbances, and human-built infrastructure at pan-Arctic scale using submeter resolution satellite imagery is increasingly…

David Jose Fernandez, Google
Dr. Amal Perera, University of Connecticut

Past Webinars

Semantic Enrichment and LLM-Driven Analytics to the Mindat Open Data Portal

Mindat is the world’s largest open mineral database, featuring over 6,600 mineral species and 430,000 localities. Recently, through NSF and NAIRR support, we have made…

Dr. Xiaogang Ma, Associate Professor of Computer Science, University of Idaho

Infrastructure Mapping with AI

Artificial Intelligence for mapping Arctic infrastructures on April 7, 9 am AKT/ 1 pm ET was co-hosted by NSF Cyber2A project, the CRAFT Research Coordination Network…

Bessie Lea Weston, NSF NNA Project, Meq Unguvatarkarput
Dr. Chandi Witharana, University of Connecticut
Elias Manos, University of Connecticut
Dr. Wenwen Li, Arizona State University

Hyper-Spatial Remote Sensing

Large volumes of sub-meter commercial satellite data coupled with high performance computing & machine learning provide new insights for Earth Science. This includes digital…

Dr. Compton Tucker, National Aeronautics and Space Administration (NASA)

Learning Neural Representations of our Planet from Earth Observation Data

Earth observation data captures the natural and built environment of our planet. It comes in different forms, from satellite images to in-situ measurements, but can be…

Dr. Konstantin Klemmer, Microsoft Research

A Framework for Building and Finetuning Geospatial Foundation Models

Foundation models are artificial intelligence (AI) models that are pre-trained on large unlabeled datasets through self-supervision and then fine-tuned for different…

Dr. Daniela Szwarcman, IBM Research
Dr. Paolo Fraccaro, IBM Research

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