Measuring road appearance in situ requires either very specific hardware difficult to implement, or extracting core samples from used roads. This is why reflectance estimation from virtual samples constructed from non-invasive acquisitions are useful in a wide range of applications. This article proposes an analysis of several combinations for merging geometric and individual reflectance data, in order to estimate the resulting uncertainty, with various distributions.