Change Detection
Purpose
Describe the main ways remote sensing can detect and interpret differences between places, dates, and conditions.
Outline
- Change as difference, trend, threshold, or class transition
- Pre-event and post-event comparison
- Normal variation versus meaningful change
- Sensor consistency, seasonality, and atmospheric effects
- Validation and uncertainty in detected changes
Later Examples
- Comparing before and after imagery for disturbance
- Detecting vegetation loss with a simple index difference
- Summarizing class transitions within an area