Pyxccd Tutorial (English)

• Lesson 0: introduction
  • Preparation
  • Learning Pyxccd with Examples
• Lesson 1: detecting disturbances using COLD and S-CCD
  • COLD (latest CCDC)
  • S-CCD
• Lesson 2: parameter specification
  • Probability of Change
  • Number of consecutive observations
  • Summary
• Lesson 3: flexible mode
  • Inputs from sensors other than Landsat
  • Trimodal S-CCD
  • Incoporating vegetation indices
  • Summary
• Lesson 4: tile-based processing
  • Step 0: preparation
  • Step 1: image preprocessing
  • Step 2: break detection
  • Step 3: disturbance map generation
  • Notes
  • Result examples
• Lesson 5: state analysis
  • Greenning trend analysis
  • Precipitation seasonality
  • S-CCD model fit
• Lesson 6: anomalies vs breaks
  • Detecting disturbances using “break”
  • Increasing the sensitivity for detecting breaks
  • Solution: “anomaly-break” detection hierachy
• Lesson 7: near real-time monitoring
  • Retrospective data processing
  • Bi-weekly recursive update
  • Summary
• Lesson 8: break-aware gap filling
  • Daily soil moisture dataset
  • Gap filling for sampled time series
  • Trying different temporal density