Combal, B., et al. "Retrieval of canopy biophysical variables from bidirectional reflectance: Using prior information to solve the ill-posed inverse problem." Remote sensing of environment 84.1 (2003): 1-15.
Féret, J.B. et al., 2019. Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning. Remote Sensing of Environment, 231. Physical model has more ability to generalize itself then empirical or statistical models. But the calibration and the inversion algorithm can be essential and complicated step.
Bousquet, L., Lachérade, S., Jacquemoud, S. and Moya, I., 2005. Leaf BRDF measurements and model for specular and diffuse components differentiation. Remote Sensing of Environment, 98(2-3): 201-211. Specular reflectance originates from leaf surface. On the other hand, diffuse reflectance originates from leaf intrastructure. To focus on the target traits, the two reflectance needs to be separated.
Li, W., Sun, Z., Lu, S. and Omasa, K., 2019. Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor. Plant Cell Environ, 42(11): 3152-3165. Leaf reflectance can be affected by leaf BRF as well as leaf pigment absorption. In remote sensing, index which is not sensitive to surface angel has to be developed.
Dechant, B., et al. (2017). "Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism." Remote Sensing of Environment 196: 279-292. Photosynthetic traits has its mechanism by leaf internal components. Comparing the spectroscopic absorption of causing components and their traits, they can be detected and correlation. In the case of Vcmax, N dominantly controls it.
Farquhar, G. D., von Caemmerer, S. V., & Berry, J. A. (1980). A biochemical model of photosynthetic CO 2 assimilation in leaves of C 3 species. Planta , 149 (1), 78-90. Carbon assimilation is mainly controlled by electron, light which is reducing electron from water molecule, O2 and CO2. They consist of the model.
Hovi, Aarne, et al. "Evaluation of accuracy and practical applicability of methods for measuring leaf reflectance and transmittance spectra." Remote Sensing 10.1 (2017): 25. Leaf clip can sense only certain angular light. The reflectance significantly differs from integrating spheres which can sense hemisperical radiant flux, as leaf surface is not assumed as a lambertian surface.
Jacquemoud, S., et al. "Estimating leaf biochemistry using the PROSPECT leaf optical properties model." Remote sensing of environment 56.3 (1996): 194-202. Leaf reflectance is affected by leaf biochemicals as well as by pigments or water. Inspecting NIR reflectance, N which is highly correlated to protein and C which are highly correlated to cellulose and lignin can be detected.
Jacquemoud, Stéphane, and F. Baret. PROSPECT A model of leaf optical properties spectra. Remote sensing of environment 34.2 (1990) 75-91. Light travels to a leaf and scatters within the leaf. Interacting with the leaf, the beam could represent the intra-structure. NIR, where absorption would minimized, is the best range.