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Welcome to GEOL0069 AI for Earth Observation
Week 1
Preparation
Introduction to Intelligently Reinforced Image Segmentation (IRIS)
Week 2
Introduction to AI/Machine Learning
Sea-ice and Lead Classification
AI/Machine Learning Implementation
Week 3
Data Fetching
Roll-out on a Full Image
Week 4
Colocating Sentinel-3 OLCI/SRAL and Sentinal-2 Optical Data
Unsupervised Learning
Week 5
Regression Techniques for Predictive Analysis
Creating Training Data from Sentinel-2 and Sentinel-3 OLCI Data
Application of Regression Techniques in Satellite Imagery Analysis
Week 6
Imagery Alignment: Introduction and Simple Examples
Images alignment on S3/S2
Creating Training Data from Aligned and Misaligned Imagery
Regression Application on Melt Pond Fractions (MPF)
Week 7
Introduction to Gaussian Processes
Introduction to GPSat
Week 8
GPSat Along-Track Interpolation
Interpolation of Sea Level Anomaly using GPSat
Sea Level Anomaly Interpolation Using GPSat (GPOD)
Finding Ocean Eddies using Satellite Altimetry: Part 1
Finding Ocean Eddies using Satellite Altimetry: Part 2
Week 9
Explainable AI
XAI for Sea Ice Classification of Full Waveform
XAI for Sea Ice Classification of Waveform Characteristics
XAI for Sea Ice Roughness from Waveform
Week 10
Potential Project Ideas
Repository
Open issue
Index