Tuesday, November 3, 2020 - Seattle, Washington, USA Join us on 
All times are in PST
Session 1
08:15 - 09:00 : MoveTK: The Movement Toolkit
Aniket Mitra, Here Technologies – Keynote Talk 
09:00 - 09:25 : Scalable Unsupervised Multi-Criteria Trajectory Segmentation and Driving Preference Mining
Florian Barth, Stefan Funke, Tobias Skovgaard Jepsen, Claudius Proissl
09:25 - 09:55 : Coffee Break
Session 2
09:55 - 10:40 : GeoAI: Recent Advances in Machine Learning for Global Earth Observations
Dr. Ranga Raju Vatsavai, North Carolina State University – Keynote Talk
10:40 - 11:05 : Giving meaning to unsupervised EO change detection rasters: a semantic-driven approach
Jordane Dorne, Nathalie Aussenac-Gilles, Catherine Comparot, Cassia Trojahn, Romain Hugues
11:05 - 11:30 : Creating Cloud-Free Satellite Imagery from Image Time Series with Deep Learning
Stefan Oehmcke, Tzu-Hsin Karen Chen, Alexander V. Prishchepov, Fabian Gieseke
11:30 - 11:55 : Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions
Ksenia D. Mukhina, Alexander A. Visheratin, Denis Nasonov
11:55 - 12:25 : Coffee Break
Session 3
12:25 - 12:50 : Comparative Analysis of Deep Transfer Learning Performance on Crop Classification
Krishna Karthik Gadiraju, Ranga Raju Vatsavai
12:50 - 13:10 : High-Dimensional Spatial Simulation Ensemble Analysis
Mai Dahshan, Leanna House, Nicholas Polys
13:10 - 13:35 : A Geographic Computational Visual Feature Database for Natural and Anthropogenic Phenomena Analysis from Multi-Resolution Remote Sensing Imagery
Yulin Cao, Butros M. Dahu, Grant J. Scott