Review
Open access
Sep 2026
Red-Edge Information in Agricultural Remote Sensing: From Spectral Theory to Explainable Machine Learning
The red-edge (RE) spectral region has become a central component of agricultural remote sensing because it captures physiologically meaningful changes in chlorophyll content, canopy structure and vegetation functioning. The availability of dedicated RE bands on modern multispectral satellites and advances in hyperspect...
Ignacio Fuentes, Nikolas Hoskin, P. Filippi et al.
· Remote Sensing · 0 citations