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UID:40636bc7-fa71-4d06-b6a6-f18c2a3c28bf@support.access-ci.org
DTSTAMP:20251015T113812Z
DTSTART:20251110T190000Z
DTEND:20251110T210000Z
SUMMARY:Geospatial Deep Learning with TorchGeo
DESCRIPTION:Presenter: Adam J. StewartDate/Time: Monday, Nov 10, 2025Time:
  1:00 - 3:00 PM Central TimeLocation: Zoom (Zoom coordinates will be pro
 vided to registrants before the workshop.)This workshop will give you hand
 s-on experience using TorchGeo for geospatial deep learning. TorchGeo is 
 a PyTorch domain library, similar to torchvision, providing datasets, samp
 lers, transforms, and pre-trained models specific to geospatial data. The 
 goal of this library is to make it simple:for machine learning experts to 
 work with geospatial data, andfor remote sensing experts to explore machin
 e learning solutions.Prerequisites: Basic familiarity with Python and Jupy
 ter. Instructor Bio: Adam J. Stewart's research interests lie at the int
 ersection of machine learning and Earth science, especially remote sensing
 . He is the creator and lead developer of the popular TorchGeo library, a 
 PyTorch domain library for working with geospatial data and satellite imag
 ery. His current research focuses on building foundation models for multis
 pectral imagery. He received his B.S. from the Department of Earth and Atm
 ospheric Sciences at Cornell University and his Ph.D. from the Department 
 of Computer Science at the University of Illinois Urbana-Champaign. He cur
 rently works as a postdoctoral researcher at theTechnical University of Mu
 nich under the guidance of Prof. Xiaoxiang Zhu.Hands-on participation: We
  will use Jupyter notebooks for hands-on demonstrations.Register by Nov 7,
  2025
URL:https://support.access-ci.org/events/8609
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