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Directional area scattering factor (DASF) is a critical canopy structuralparameter for vegetation monitoring. It provides an efficient tool fordecoupling of canopy structure and leaf optics from canopy reflectance. Currentstandard approach to estimate DASF from canopy bidirectional reflectance factor(BRF) is based on the assumption that in the weakly absorbing 710 to 790 nmspectral interval, leaf scattering does not change much with the concentrationof dry matter and thus its variation can be neglected. This results in biasedestimates of DASF and consequently leads to uncertainty in DASF-relatedapplications. This study proposes a new approach to account for variations inconcentrations of this biochemical constituent, which additionally uses thecanopy BRF at 2260 nm. In silico analysis of the proposed approach suggestssignificant increase in accuracy over the standard technique by a relative rootmean square error (rRMSE) of 49% and 34% for one- and three dimensional scenes,respectively. When compared with indoor multi-angular hyperspectralmeasurements reported in literature, the mean absolute error has reduced by 68%for needle leaf and 20% for broadleaf canopies. Thus, the proposed DASFestimation approach outperforms the current one and can be used more reliablyin DASF-related applications, such as vegetation monitoring of functionaltraits, dynamics, and radiation budget.

Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation