.

Geladi, P., et al. (2004). "Hyperspectral imaging: calibration problems and solutions." Chemometrics and Intelligent Laboratory Systems 72(2): 209-217. One point calibration is more dependent to sensor noises, dark noise probably fluctuating. However, quadratic one can capture more subtle signal.

Barreto, M. A. P., Johansen, K., Angel, Y., & McCabe, M. F. (2019). Radiometric Assessment of a UAV-Based Push-Broom Hyperspectral Camera.  Sensors ,  19 (21), 4699. As for the dark reference, the standard deviation was higher at the edge position. Also the position would be overlapped when UAV flying. It is important to put the interesting objects to be the center of view.

Wang, Z., Skidmore, A. K., Wang, T., Darvishzadeh, R., & Hearne, J. (2015). Applicability of the PROSPECT model for estimating protein and cellulose+ lignin in fresh leaves.  Remote sensing of environment ,  168 , 205- Physical models also include empirical parts. PROSPECT does so, too. In the paper, leaf potein and lignin + cellulose were decoupled from LMA.