Geospatial Computer Vision and Machine Learning for Large-Scale Earth Observation Data

Schedule

• Sources and APIs for Large-Scale Earth Observation (EO) Data
  • Satellite Data APIs and Repositories
  • Setting Up Sentinel AWS S3 Buckets
  • Working with Copernicus Hub
• Earth Observation Data Wrangling
  • Spatial Data Wrangling Methods
  • Projections, Reprojecting, & Orthorectification of EO Data
  • Image Operators for Wrangling EO Data
  • Preparing EO image chips for machine learning
  • Data Labeling
• Common Machine Learning Tasks on EO Data
  • Spatial Artefact Identification
  • Multimodal Data Analysis
  • Spatio-temporal Event Detection and Tracking
  • Semi-supervised Learning for Remote Sensing
  • Defining Region and Regime Shifts with Graph-Based Spatial Clustering
• Geospatial Foundation Models Applied to EO Data
  • Knowledge Graphs for Spatial Enrichment of EO Data
  • Neuro-symbolic Models for Scene Understanding
  • Spatio-temporal Event Detection and Tracking
  • HLS Geospatial Foundation Model
  • ViTAE Transformer Models
• Bringing it All Together
  • Damage Assessment for Humanitarian Assistance
  • HLS + SAR Foundation Model Evaluation
  • Worldview based foundation model evaluation
  • HLS Geospatial Foundation Model
  • Predicting Footprint of Future Cities
  • Tracking the Greenhouse Gas Emissions from Outer Space

@ Seattle, WA