Hyperspectral Imaging

Hyperspectral imaging captures reflectance across many narrow, contiguous spectral bands - often hundreds - compared to the handful of broad bands captured by standard multispectral sensors, giving a much more detailed spectral fingerprint of whatever the sensor is looking at. In vegetation-stress research, hyperspectral data is what allows researchers to isolate subtle, early stress signatures (such as methane-induced canopy change) that a coarser multispectral sensor would blend into noise. The trade-off is cost, data volume, and sensor availability - most free, continuously updated satellite sources such as Sentinel-2 are multispectral, not hyperspectral, which is why translating hyperspectral research findings into an operational multispectral pipeline is a genuine open problem rather than a solved one.