2024-01-01

Innsbruck

2024

PhenoCam
PhenoCam
Greenness Index Timeseries

S2

NDVI Timeseries
Greenness Index Timeseries
RGB Composite

Fusion

NDVI Timeseries
Greenness Index Timeseries
RGB Composite

S3

NDVI Timeseries
Greenness Index Timeseries
RGB Composite
Greenness Index Timeseries (S2 & Fusion)
GCC Comparison: All Scenarios
Metrics vs PhenoCam (fusion scenarios)

R² (variance explained), nRMSE (RMSE normalised by PhenoCam σ), NSE_PC (Nash–Sutcliffe vs PhenoCam). ΔNSE_PC = NSE_PC(σ20)−NSE_PC(σ30): positive → σ20 better; negative → σ30 better. Mean residual (fused−PhenoCam): positive → fusion high vs PhenoCam on average; negative → low; compare BtI vs ItB in the same row (closer to 0 = less mean bias). Tables at the top when metrics.json has derived (regenerate with metrics_stats.py / run.py).