Fig. 4From: Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensingA sample of the 1440 SMARTS2 simulated at-sensor spectral radiances (\(L_\lambda\)) in the VNIR wavelength range for a single SCOPE simulated spectral reflectance (\(R_\lambda\)), divided by the reflectance to show the atmospheric and solar effects from varying their conditions for a static sensor with known location and pointingBack to article page