What You're Seeing
Each pixel's 24-year Landsat NBR time series (2000–2024) is segmented into straight-line segments. Large negative changes (red) indicate forest disturbance (harvest, fire). Positive changes (green) indicate recovery. Drag the sliders to adjust sensitivity.
How It Works
Data: Pre-computed composites (toggle "Live data" for STAC range requests).
Compute: LandTrendr runs per-pixel in your browser (TypeScript/Float32Array).
Render: MapLibre GL with colormap.
Server cost: $0.
Algorithm
Kennedy RE, Yang Z, Cohen WB (2010). Detecting trends in
forest disturbance and recovery using yearly Landsat time series.
Remote Sensing of Environment 114:2897-2910.
Parameters: max_segments=6,
spike_threshold=0.9,
recovery_threshold=0.25
View the Spec
This entire workflow is defined in a declarative YAML file. The spec is the documentation. Fork it, modify parameters, share the URL — anyone can reproduce the result.